Not in the top 1,000 by GitHub stars

Optim-Agent/optim-agent

LLM agents as your hyperparameter optimizer.

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

View weekly changes

`SKILL.md`

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

39e5f94b5e19 → 39e5f94b5e19

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 39e5f94b5e19

No earlier version was observed for comparison.

Compare on GitHub

`plugins/optim-agent/SKILL.md`

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

39e5f94b5e19 → 39e5f94b5e19

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 39e5f94b5e19

No earlier version was observed for comparison.

Compare on GitHub

`plugins/optim-agent/skills/optim-agent/SKILL.md`

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

39e5f94b5e19 → 39e5f94b5e19

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 39e5f94b5e19

No earlier version was observed for comparison.

Compare on GitHub

View on GitHub Add to my skills

Verified commit 39e5f94b5e19d041a9175407ac0ea41c101d100e

Version-pinned installation · Claude Code

git clone --filter=blob:none --no-checkout https://github.com/Optim-Agent/optim-agent.git .hotskills/optim-agent-optim-agent && git -C .hotskills/optim-agent-optim-agent checkout --detach 39e5f94b5e19d041a9175407ac0ea41c101d100e
# Copy each selected skill directory from .hotskills/optim-agent-optim-agent into .claude/skills/<skill-name>/

798GitHub stars

0stars in 7 days

3skills in this repository

0commits in 30 days

Heat

1.9

Star growth, last 7 daysNot available
Star growth, last 24 hoursNot available
Rank movement, last 7 daysNot available
Commits, last 30 daysNot available
Accounts asking about it through MCP, last 7 daysNot available
Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Individual skills in this repository

optim-agent /
optim-agent plugins/optim-agent
optim-agent plugins/optim-agent/skills/optim-agent

How it works

Choose a skill

optim-agent

When your agent uses it

Use when the user wants to optimize configurable system parameters against a measurable scalar objective, especially for model training, inference, quantitative strategies, reinforcement learning, scientific workflows, or other expensive black-box evaluations where reading the project can improve trial selection.

What it loads into context

Frontmatter

54 tokens

Always available to the agent

SKILL.md

1,131 tokens

When the skill is activated

Reference documents

85,552 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Load the workflow
Workflow
Recovery
Rules

Scripts executed separately

docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/WORKER_BLOCKED.TASK-001.reporting.py
examples/cifar10.py
examples/credit_card.py
examples/hard_functions.py
examples/inference_tuning.py
examples/mnist.py
examples/quickstart.py
examples/rl_control.py
examples/sklearn_tuning.py
optim_agent/__init__.py
optim_agent/agent.py
optim_agent/pruners.py
optim_agent/reporting.py
optim_agent/samplers.py
optim_agent/space.py
optim_agent/study.py
optim_agent/summarizer.py
scripts/check_public_readiness.py
scripts/render_classification_benchmarks.py
scripts/render_credit_paper_figure.py
scripts/render_trajectory.py
scripts/run_gpbo_credit.py
scripts/run_gpbo_hard_functions.py
scripts/verify_classification_cumulative_error.py
tests/test_lunarlander_animation.py
tests/test_metric_terminology.py
tests/test_optim_agent.py
tests/test_plugin_manifests.py
tests/test_public_readiness.py
tests/test_reporting.py
tutorials/quickstart.ipynb

Files

.agents/plugins/marketplace.jsonasset374 bytes
.claude-plugin/marketplace.jsonasset438 bytes
.github/ISSUE_TEMPLATE/bug_report.mddoc279 bytes
.github/ISSUE_TEMPLATE/feature_request.mddoc193 bytes
.github/dependabot.ymlasset269 bytes
.github/pull_request_template.mddoc199 bytes
.github/workflows/ci.ymlasset1,202 bytes
.github/workflows/docs.ymlasset710 bytes
.gitignoreasset746 bytes
.pre-commit-config.yamlasset262 bytes
CHANGELOG.mddoc1,719 bytes
CITATION.cffasset630 bytes
CODE_OF_CONDUCT.mddoc1,013 bytes
CONTRIBUTING.mddoc1,631 bytes
LICENSEasset1,079 bytes
README.mddoc24,776 bytes
ROADMAP.mddoc1,500 bytes
SECURITY.mddoc1,319 bytes
SKILL.mdcore5,088 bytes
SKILL.mdcore5,088 bytes
SKILL.mdcore5,088 bytes
SKILL.mdcore5,088 bytes
SKILL.mdcore5,088 bytes
SKILL.mdcore5,088 bytes
benchmarks/README.mddoc3,789 bytes
benchmarks/manifest.jsonasset2,125 bytes
docs/assets/cifar10_curves_GPT-5.5-medium-no-context_s0.jsonasset10,787 bytes
docs/assets/cifar10_curves_GPT-5.5-medium-no-context_s1.jsonasset10,726 bytes
docs/assets/cifar10_curves_GPT-5.5-medium-no-context_s2.jsonasset10,652 bytes
docs/assets/cifar10_curves_GPT-5.5-medium-no-context_s3.jsonasset10,785 bytes
docs/assets/cifar10_curves_GPT-5.5-medium-no-context_s4.jsonasset10,919 bytes
docs/assets/cifar10_curves_GPT-5.5-medium_s0.jsonasset10,094 bytes
docs/assets/cifar10_curves_GPT-5.5-medium_s1.jsonasset10,018 bytes
docs/assets/cifar10_curves_GPT-5.5-medium_s2.jsonasset10,061 bytes
docs/assets/cifar10_curves_GPT-5.5-medium_s3.jsonasset10,098 bytes
docs/assets/cifar10_curves_GPT-5.5-medium_s4.jsonasset10,005 bytes
docs/assets/cifar10_curves_Random_s0.jsonasset11,022 bytes
docs/assets/cifar10_curves_Random_s1.jsonasset11,017 bytes
docs/assets/cifar10_curves_Random_s2.jsonasset11,077 bytes
docs/assets/cifar10_curves_Random_s3.jsonasset10,965 bytes
docs/assets/cifar10_curves_Random_s4.jsonasset11,124 bytes
docs/assets/cifar10_curves_TPE_s0.jsonasset10,965 bytes
docs/assets/cifar10_curves_TPE_s1.jsonasset11,082 bytes
docs/assets/cifar10_curves_TPE_s2.jsonasset11,082 bytes
docs/assets/cifar10_curves_TPE_s3.jsonasset10,939 bytes
docs/assets/cifar10_curves_TPE_s4.jsonasset11,097 bytes
docs/assets/classification_benchmarks.pngasset104,836 bytes
docs/assets/credit_card.pngasset95,446 bytes
docs/assets/credit_default_GP-BO_s0.jsonasset7,115 bytes
docs/assets/credit_default_GP-BO_s1.jsonasset7,117 bytes
docs/assets/credit_default_GP-BO_s2.jsonasset7,104 bytes
docs/assets/credit_default_GP-BO_s3.jsonasset7,093 bytes
docs/assets/credit_default_GP-BO_s4.jsonasset7,098 bytes
docs/assets/credit_default_GPT-5.5-no-context_s0.jsonasset6,161 bytes
docs/assets/credit_default_GPT-5.5-no-context_s1.jsonasset6,211 bytes
docs/assets/credit_default_GPT-5.5-no-context_s2.jsonasset6,280 bytes
docs/assets/credit_default_GPT-5.5-no-context_s3.jsonasset6,075 bytes
docs/assets/credit_default_GPT-5.5-no-context_s4.jsonasset6,167 bytes
docs/assets/credit_default_GPT-5.5_s0.jsonasset6,700 bytes
docs/assets/credit_default_GPT-5.5_s1.jsonasset6,768 bytes
docs/assets/credit_default_GPT-5.5_s2.jsonasset6,772 bytes
docs/assets/credit_default_GPT-5.5_s3.jsonasset6,655 bytes
docs/assets/credit_default_GPT-5.5_s4.jsonasset6,724 bytes
docs/assets/credit_default_Random_s0.jsonasset6,862 bytes
docs/assets/credit_default_Random_s1.jsonasset6,863 bytes
docs/assets/credit_default_Random_s2.jsonasset6,862 bytes
docs/assets/credit_default_Random_s3.jsonasset6,881 bytes
docs/assets/credit_default_Random_s4.jsonasset6,859 bytes
docs/assets/credit_default_TPE_s0.jsonasset6,868 bytes
docs/assets/credit_default_TPE_s1.jsonasset6,889 bytes
docs/assets/credit_default_TPE_s2.jsonasset6,871 bytes
docs/assets/credit_default_TPE_s3.jsonasset6,865 bytes
docs/assets/credit_default_TPE_s4.jsonasset6,847 bytes
docs/assets/hard_benchmarks_free.pngasset130,006 bytes
docs/assets/hard_benchmarks_tier.pngasset152,272 bytes
docs/assets/hard_curves_Big-pickle_s0.jsonasset2,468 bytes
docs/assets/hard_curves_Big-pickle_s1.jsonasset2,495 bytes
docs/assets/hard_curves_Big-pickle_s2.jsonasset2,440 bytes
docs/assets/hard_curves_Big-pickle_s3.jsonasset2,454 bytes
docs/assets/hard_curves_Big-pickle_s4.jsonasset2,504 bytes
docs/assets/hard_curves_DeepSeek-V4-Flash_s0.jsonasset2,470 bytes
docs/assets/hard_curves_DeepSeek-V4-Flash_s1.jsonasset2,504 bytes
docs/assets/hard_curves_DeepSeek-V4-Flash_s2.jsonasset2,547 bytes
docs/assets/hard_curves_DeepSeek-V4-Flash_s3.jsonasset2,478 bytes
docs/assets/hard_curves_DeepSeek-V4-Flash_s4.jsonasset2,520 bytes
docs/assets/hard_curves_GLM-5.2_s0.jsonasset2,465 bytes
docs/assets/hard_curves_GLM-5.2_s1.jsonasset2,488 bytes
docs/assets/hard_curves_GLM-5.2_s2.jsonasset2,462 bytes
docs/assets/hard_curves_GLM-5.2_s3.jsonasset2,537 bytes
docs/assets/hard_curves_GLM-5.2_s4.jsonasset2,496 bytes
docs/assets/hard_curves_GP-BO_s0.jsonasset2,868 bytes
docs/assets/hard_curves_GP-BO_s1.jsonasset2,909 bytes
docs/assets/hard_curves_GP-BO_s2.jsonasset2,891 bytes
docs/assets/hard_curves_GP-BO_s3.jsonasset2,890 bytes
docs/assets/hard_curves_GP-BO_s4.jsonasset2,891 bytes
docs/assets/hard_curves_GPT-5.5_s0.jsonasset2,579 bytes
docs/assets/hard_curves_GPT-5.5_s1.jsonasset2,564 bytes
docs/assets/hard_curves_GPT-5.5_s2.jsonasset2,505 bytes
docs/assets/hard_curves_GPT-5.5_s3.jsonasset2,509 bytes
docs/assets/hard_curves_GPT-5.5_s4.jsonasset2,534 bytes
docs/assets/hard_curves_Kimi-K3_s0.jsonasset2,508 bytes
docs/assets/hard_curves_Kimi-K3_s1.jsonasset2,516 bytes
docs/assets/hard_curves_Kimi-K3_s2.jsonasset2,443 bytes
docs/assets/hard_curves_Kimi-K3_s3.jsonasset2,511 bytes
docs/assets/hard_curves_Kimi-K3_s4.jsonasset2,545 bytes
docs/assets/hard_curves_MiMo-v2.5_s0.jsonasset2,472 bytes
docs/assets/hard_curves_MiMo-v2.5_s1.jsonasset2,494 bytes
docs/assets/hard_curves_MiMo-v2.5_s2.jsonasset2,457 bytes
docs/assets/hard_curves_MiMo-v2.5_s3.jsonasset2,470 bytes
docs/assets/hard_curves_MiMo-v2.5_s4.jsonasset2,513 bytes
docs/assets/hard_curves_Minimax-M3_s0.jsonasset2,482 bytes
docs/assets/hard_curves_Minimax-M3_s1.jsonasset2,485 bytes
docs/assets/hard_curves_Minimax-M3_s2.jsonasset2,447 bytes
docs/assets/hard_curves_Minimax-M3_s3.jsonasset2,503 bytes
docs/assets/hard_curves_Minimax-M3_s4.jsonasset2,496 bytes
docs/assets/hard_curves_Nemotron-3-Ultra_s0.jsonasset2,481 bytes
docs/assets/hard_curves_Nemotron-3-Ultra_s1.jsonasset2,507 bytes
docs/assets/hard_curves_Nemotron-3-Ultra_s2.jsonasset2,552 bytes
docs/assets/hard_curves_Nemotron-3-Ultra_s3.jsonasset2,523 bytes
docs/assets/hard_curves_Nemotron-3-Ultra_s4.jsonasset2,530 bytes
docs/assets/hard_curves_Opus-4.8_s0.jsonasset2,524 bytes
docs/assets/hard_curves_Opus-4.8_s1.jsonasset2,587 bytes
docs/assets/hard_curves_Opus-4.8_s2.jsonasset2,521 bytes
docs/assets/hard_curves_Opus-4.8_s3.jsonasset2,530 bytes
docs/assets/hard_curves_Opus-4.8_s4.jsonasset2,492 bytes
docs/assets/hard_curves_Random_s0.jsonasset3,125 bytes
docs/assets/hard_curves_Random_s1.jsonasset3,145 bytes
docs/assets/hard_curves_Random_s2.jsonasset3,121 bytes
docs/assets/hard_curves_Random_s3.jsonasset3,123 bytes
docs/assets/hard_curves_Random_s4.jsonasset3,135 bytes
docs/assets/hard_curves_Sonnet-5_s0.jsonasset2,470 bytes
docs/assets/hard_curves_Sonnet-5_s1.jsonasset2,505 bytes
docs/assets/hard_curves_Sonnet-5_s2.jsonasset2,444 bytes
docs/assets/hard_curves_Sonnet-5_s3.jsonasset2,459 bytes
docs/assets/hard_curves_Sonnet-5_s4.jsonasset2,489 bytes
docs/assets/hard_curves_TPE_s0.jsonasset3,133 bytes
docs/assets/hard_curves_TPE_s1.jsonasset3,120 bytes
docs/assets/hard_curves_TPE_s2.jsonasset3,133 bytes
docs/assets/hard_curves_TPE_s3.jsonasset3,135 bytes
docs/assets/hard_curves_TPE_s4.jsonasset3,117 bytes
docs/assets/lunarlander_landing.jsonasset1,386 bytes
docs/assets/lunarlander_policy.gifasset473,780 bytes
docs/assets/mnist_curves_GPT-5.5-medium-no-context_s0.jsonasset11,048 bytes
docs/assets/mnist_curves_GPT-5.5-medium-no-context_s1.jsonasset11,110 bytes
docs/assets/mnist_curves_GPT-5.5-medium-no-context_s2.jsonasset11,001 bytes
docs/assets/mnist_curves_GPT-5.5-medium-no-context_s3.jsonasset10,925 bytes
docs/assets/mnist_curves_GPT-5.5-medium-no-context_s4.jsonasset11,047 bytes
docs/assets/mnist_curves_GPT-5.5-medium_s0.jsonasset10,229 bytes
docs/assets/mnist_curves_GPT-5.5-medium_s1.jsonasset10,286 bytes
docs/assets/mnist_curves_GPT-5.5-medium_s2.jsonasset10,248 bytes
docs/assets/mnist_curves_GPT-5.5-medium_s3.jsonasset10,291 bytes
docs/assets/mnist_curves_GPT-5.5-medium_s4.jsonasset10,242 bytes
docs/assets/mnist_curves_Random_s0.jsonasset11,255 bytes
docs/assets/mnist_curves_Random_s1.jsonasset11,351 bytes
docs/assets/mnist_curves_Random_s2.jsonasset11,372 bytes
docs/assets/mnist_curves_Random_s3.jsonasset11,302 bytes
docs/assets/mnist_curves_Random_s4.jsonasset11,245 bytes
docs/assets/mnist_curves_TPE_s0.jsonasset11,262 bytes
docs/assets/mnist_curves_TPE_s1.jsonasset11,300 bytes
docs/assets/mnist_curves_TPE_s2.jsonasset11,199 bytes
docs/assets/mnist_curves_TPE_s3.jsonasset11,316 bytes
docs/assets/mnist_curves_TPE_s4.jsonasset11,296 bytes
docs/assets/optim-agent-logo-dark.svgasset4,584 bytes
docs/assets/optim-agent-logo-light.svgasset4,584 bytes
docs/assets/optim-agent-mark.svgasset633 bytes
docs/assets/optim-agent-overview.pngasset92,724 bytes
docs/assets/optimization_trajectory.gifasset505,540 bytes
docs/assets/rl_control.pngasset79,694 bytes
docs/assets/rl_control_GPT-5.5-no-context_s0.jsonasset5,012 bytes
docs/assets/rl_control_GPT-5.5-no-context_s1.jsonasset5,117 bytes
docs/assets/rl_control_GPT-5.5-no-context_s2.jsonasset4,963 bytes
docs/assets/rl_control_GPT-5.5-no-context_s3.jsonasset5,032 bytes
docs/assets/rl_control_GPT-5.5-no-context_s4.jsonasset4,996 bytes
docs/assets/rl_control_GPT-5.5_s0.jsonasset7,022 bytes
docs/assets/rl_control_GPT-5.5_s1.jsonasset7,108 bytes
docs/assets/rl_control_GPT-5.5_s2.jsonasset7,067 bytes
docs/assets/rl_control_GPT-5.5_s3.jsonasset7,072 bytes
docs/assets/rl_control_GPT-5.5_s4.jsonasset7,117 bytes
docs/assets/rl_control_Random_s0.jsonasset5,868 bytes
docs/assets/rl_control_Random_s1.jsonasset5,886 bytes
docs/assets/rl_control_Random_s2.jsonasset5,866 bytes
docs/assets/rl_control_Random_s3.jsonasset5,897 bytes
docs/assets/rl_control_Random_s4.jsonasset5,880 bytes
docs/assets/rl_control_TPE_s0.jsonasset5,876 bytes
docs/assets/rl_control_TPE_s1.jsonasset5,868 bytes
docs/assets/rl_control_TPE_s2.jsonasset5,876 bytes
docs/assets/rl_control_TPE_s3.jsonasset5,891 bytes
docs/assets/rl_control_TPE_s4.jsonasset5,886 bytes
docs/assets/social-preview.pngasset95,808 bytes
docs/i18n/README_DE.mddoc22,867 bytes
docs/i18n/README_ES.mddoc22,985 bytes
docs/i18n/README_FR.mddoc23,457 bytes
docs/i18n/README_JA.mddoc24,116 bytes
docs/i18n/README_KO.mddoc23,063 bytes
docs/i18n/README_PT.mddoc22,716 bytes
docs/i18n/README_RU.mddoc27,737 bytes
docs/i18n/README_ZH.mddoc21,315 bytes
docs/index.htmlasset38,030 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/ABORTED_RUN_MANIFEST.40b13e0d.jsonasset5,050 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/EXECUTION_MANIFEST.jsonasset5,199 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/WORKER_BLOCKED.TASK-001.jsonasset520 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/WORKER_BLOCKED.TASK-001.reporting.pyruns4,324 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry2/EXECUTION_MANIFEST.jsonasset5,712 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry3/EXECUTION_MANIFEST.jsonasset6,401 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry4/EXECUTION_MANIFEST.jsonasset6,031 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v1.mddoc9,845 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v1_reviewer_comments.mddoc3,106 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v2.mddoc12,722 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v2_reviewer_comments.mddoc2,873 bytes
docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v3.mddoc14,877 bytes
docs/privacy.htmlasset2,802 bytes
docs/superpowers/plans/2026-07-13-paper-novelty-framing.mddoc10,805 bytes
docs/superpowers/plans/2026-07-14-claude-codex-plugin-wrappers.mddoc7,916 bytes
docs/superpowers/plans/2026-07-14-credit-benchmark-single-config.mddoc5,979 bytes
docs/superpowers/plans/2026-07-14-lunarlander-gif-provenance.mddoc6,100 bytes
docs/superpowers/plans/2026-07-14-paper-overview-diagram.mddoc5,083 bytes
docs/superpowers/plans/2026-07-14-skill-hub-distribution.mddoc4,759 bytes
docs/superpowers/specs/2026-07-13-paper-novelty-framing-design.mddoc5,333 bytes
docs/superpowers/specs/2026-07-13-rl-control-benchmark-design.mddoc3,137 bytes
docs/superpowers/specs/2026-07-14-claude-codex-plugin-wrappers-design.mddoc2,731 bytes
docs/superpowers/specs/2026-07-14-credit-benchmark-single-config-design.mddoc1,210 bytes
docs/superpowers/specs/2026-07-14-lunarlander-gif-provenance-design.mddoc3,114 bytes
docs/superpowers/specs/2026-07-14-paper-overview-diagram-design.mddoc4,060 bytes
docs/superpowers/specs/2026-07-14-skill-hub-distribution-design.mddoc2,261 bytes
docs/superpowers/specs/2026-07-21-conclusion-expansion-design.mddoc2,074 bytes
examples/cifar10.pyruns26,114 bytes
examples/credit_card.pyruns30,950 bytes
examples/hard_functions.pyruns15,390 bytes
examples/inference_tuning.pyruns4,620 bytes
examples/mnist.pyruns26,387 bytes
examples/quickstart.pyruns2,120 bytes
examples/rl_control.pyruns33,478 bytes
examples/sklearn_tuning.pyruns3,416 bytes
optim_agent/__init__.pyruns370 bytes
optim_agent/agent.pyruns2,921 bytes
optim_agent/pruners.pyruns3,446 bytes
optim_agent/reporting.pyruns4,939 bytes
optim_agent/samplers.pyruns14,341 bytes
optim_agent/space.pyruns3,044 bytes
optim_agent/study.pyruns17,212 bytes
optim_agent/summarizer.pyruns5,819 bytes
paper/main.pdfasset504,903 bytes
pyproject.tomlasset1,611 bytes
scripts/check_public_readiness.pyruns6,835 bytes
scripts/render_classification_benchmarks.pyruns7,619 bytes
scripts/render_credit_paper_figure.pyruns2,419 bytes
scripts/render_trajectory.pyruns6,993 bytes
scripts/run_gpbo_credit.pyruns5,117 bytes
scripts/run_gpbo_hard_functions.pyruns2,632 bytes
scripts/verify_classification_cumulative_error.pyruns7,501 bytes
tests/test_lunarlander_animation.pyruns728 bytes
tests/test_metric_terminology.pyruns1,945 bytes
tests/test_optim_agent.pyruns76,933 bytes
tests/test_plugin_manifests.pyruns2,476 bytes
tests/test_public_readiness.pyruns7,723 bytes
tests/test_reporting.pyruns7,211 bytes
tutorials/README.mddoc741 bytes
tutorials/quickstart.ipynbruns7,835 bytes

Read SKILL.md


# optim-agent

Act as the sampler inside any coding-agent session: Claude Code, Codex,
OpenCode/OpenClaw, or another agent that can read project files and run shell
commands. Read the project to understand parameter meaning and interactions,
propose one configuration, run the real evaluator, and record the result
through optim-agent's ask/tell API. Let the measured objective, not the agent's
intuition, decide what works.

## Load the workflow

Use this file as the operating guide for the active coding agent. In Codex, it
can be installed directly from GitHub:

View the complete source on GitHub

optim-agent

When your agent uses it

Use when optimizing configurable system parameters against a measurable scalar objective.

What it loads into context

Frontmatter

19 tokens

Always available to the agent

SKILL.md

53 tokens

When the skill is activated

Reference documents

1,131 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Files

../../SKILL.mddoc5,088 bytes
.claude-plugin/plugin.jsonasset434 bytes
.codex-plugin/plugin.jsonasset988 bytes
SKILL.mdcore297 bytes

Read SKILL.md


# optim-agent

Read and follow the canonical optim-agent workflow in `../../SKILL.md`.
Resolve that path from this file's directory before beginning the optimization.

View the complete source on GitHub

optim-agent

When your agent uses it

Use when optimizing configurable system parameters against a measurable scalar objective.

What it loads into context

Frontmatter

19 tokens

Always available to the agent

SKILL.md

54 tokens

When the skill is activated

Reference documents

1,131 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Files

../../../../SKILL.mddoc5,088 bytes
SKILL.mdcore303 bytes

Read SKILL.md


# optim-agent

Read and follow the canonical optim-agent workflow in `../../../../SKILL.md`.
Resolve that path from this file's directory before beginning the optimization.

View the complete source on GitHub

Skills included

optim-agent
optim-agent
optim-agent

Repository facts

License: MIT
Created: Jul 7, 2026
Last pushed: Aug 14, 2026
Forks: 42
Open issues: 1
Project activity: Slowing

Rank over the last 12 weeks

Now #976 · best #664 · down 238 in 30 days

#781 on Sep 22
#738 on Sep 24
#777 on Sep 28
#802 on Oct 7
#836 on Oct 16
#976 since Oct 25

17 earlier periods

#766 on Aug 2
#685 on Aug 7
#677 on Aug 8
#668 on Aug 9
#686 on Aug 10
#690 on Aug 11
#676 on Aug 12
#670 on Aug 13
#664 on Aug 14
#674 on Aug 17
#691 on Aug 18
#676 on Aug 21
#698 on Aug 27
#725 on Aug 28
#713 on Sep 6
#745 on Sep 10
#741 on Sep 18

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 4, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 5 notes

SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

No broad tool permissions
3 dangerous shell commandsin 3 files: docs/superpowers/plans/2026-07-13-paper-novelty-framing.md:262 docs/superpowers/plans/2026-07-14-paper-overview-diagram.md:132 docs/superpowers/plans/2026-07-14-skill-hub-distribution.md:110
427 network referencesin 61 files: README.md:15 docs/index.html:116 docs/i18n/README_ZH.md:15 and 58 more
No hidden or obfuscated text
No instruction overrides
31 executable scriptsin 31 files: docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/WORKER_BLOCKED.TASK-001.reporting.py:1 examples/cifar10.py:1 examples/credit_card.py:1 and 28 more
33 references to secretsin 19 files: docs/i18n/README_DE.md:471 docs/i18n/README_ES.md:475 docs/i18n/README_FR.md:474 and 16 more
No requests to vote in Hot

Show all 494 signals by file

`.claude-plugin/marketplace.json`

Network accessline 1

{   "$schema": "https://anthropic.com/claude-code/marketplace.schema.json",

Network accessline 2

"$schema": "https://anthropic.com/claude-code/marketplace.schema.json",

`.pre-commit-config.yaml`

Network accessline 1

repos:   - repo: https://github.com/astral-sh/ruff-pre-commit

Network accessline 2

- repo: https://github.com/astral-sh/ruff-pre-commit

`CHANGELOG.md`

Network accessline 3

All notable changes to optim-agent are documented here. The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and releases use

Network accessline 4

[Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and releases use

Network accessline 5

[Semantic Versioning](https://semver.org/).

Network accessline 49

[Unreleased]: https://github.com/Optim-Agent/optim-agent/commits/main

`CITATION.cff`

Network accessline 11

version: 0.1.0 license: MIT repository-code: "https://github.com/Optim-Agent/optim-agent"

Network accessline 12

license: MIT repository-code: "https://github.com/Optim-Agent/optim-agent" url: "https://github.com/Optim-Agent/optim-agent"

Network accessline 13

repository-code: "https://github.com/Optim-Agent/optim-agent"

Network accessline 14

url: "https://github.com/Optim-Agent/optim-agent"

`CODE_OF_CONDUCT.md`

Network accessline 25

This policy is adapted from the Contributor Covenant, version 2.1: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html

Network accessline 26

https://www.contributor-covenant.org/version/2/1/code_of_conduct.html

`README.md`

Network accessline 15

<p align="center">   <a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 16

<a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 17

<a href="https://hits.sh/github.com/Optim-Agent/optim-agent/"><img alt="Repo views" src="https://hits.sh/github.com/Optim-Agent/optim-agent.svg?label=repo%20views"></a>

Network accessline 18

<a href="https://pypi.org/project/optim-agent/"><img alt="PyPI" src="https://img.shields.io/pypi/v/optim-agent"></a>

Network accessline 19

<a href="https://pypi.org/project/optim-agent/"><img alt="Python versions" src="https://img.shields.io/pypi/pyversions/optim-agent"></a>

Network accessline 20

<a href="LICENSE"><img alt="License: MIT" src="https://img.shields.io/pypi/l/optim-agent"></a>

Network accessline 21

<a href="https://optim-agent.github.io/optim-agent/"><img alt="Docs" src="https://img.shields.io/badge/docs-online-blue"></a>

Network accessline 22

<a href="https://code.claude.com/docs/en/skills"><img alt="Claude Skill" src="https://img.shields.io/badge/Claude-Skill-D97757?logo=claude&logoColor=white"></a>

Network accessline 23

<a href="https://developers.openai.com/codex/skills"><img alt="Codex Skill" src="https://img.shields.io/badge/Codex-Skill-blue?logo=openai&logoColor=white"></a>

Network accessline 76

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 91

# Latest source from GitHub python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 92

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 95

Requires one authenticated agent CLI on `PATH`: [claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 96

[claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 97

[codex](https://github.com/openai/codex), or

Network accessline 98

[opencode](https://github.com/sst/opencode).

Network accessline 277

This CPU-only benchmark tunes eight training parameters of a `HistGradientBoostingClassifier` on UCI's [Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients)

Network accessline 278

`HistGradientBoostingClassifier` on UCI's [Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients) dataset: 30,000 rows, 23 features, and a next-month default target. The official

Network accessline 279

[Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients)

Network accessline 477

$skill-installer install https://github.com/Optim-Agent/optim-agent

Access to secretsline 507
```
[Credential-related source omitted]
```

Network accessline 532

- [Optuna](https://github.com/optuna/optuna) for popularizing the Study/Trial

Network accessline 533

interface, providing the TPE baseline used throughout the examples and   benchmarks, and setting a high standard for practical optimization tooling. - [OpenCode](https://github.com/sst/opencode) for providing access to the free

Network accessline 534

benchmarks, and setting a high standard for practical optimization tooling. - [OpenCode](https://github.com/sst/opencode) for providing access to the free   models evaluated in the hard-function benchmarks.

Network accessline 535

- [OpenCode](https://github.com/sst/opencode) for providing access to the free

Network accessline 544

<a href="https://www.star-history.com/?repos=Optim-Agent%2Foptim-agent&type=date&legend=top-left">

Network accessline 545
```
[Credential-related source omitted]
```
Network accessline 546
```
[Credential-related source omitted]
```
Network accessline 547
```
[Credential-related source omitted]
```
Network accessline 548
```
[Credential-related source omitted]
```

`SKILL.md`

Network accessline 21

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 21

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 21

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 35

# Latest source from GitHub python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 35

# Latest source from GitHub python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 35

# Latest source from GitHub python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 36

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 36

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 36

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

`docs/assets/credit_default_GP-BO_s0.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GP-BO_s1.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GP-BO_s2.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GP-BO_s3.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GP-BO_s4.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GPT-5.5-no-context_s0.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GPT-5.5-no-context_s1.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GPT-5.5-no-context_s2.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GPT-5.5-no-context_s3.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GPT-5.5-no-context_s4.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GPT-5.5_s0.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GPT-5.5_s1.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GPT-5.5_s2.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GPT-5.5_s3.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_GPT-5.5_s4.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_Random_s0.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_Random_s1.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_Random_s2.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_Random_s3.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_Random_s4.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_TPE_s0.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_TPE_s1.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_TPE_s2.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_TPE_s3.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/credit_default_TPE_s4.json`

Network accessline 16

"search_space_version": "uci-credit-default-hgb-v1",  "dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

Network accessline 17

"dataset_id": 350,  "dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",  "dataset_sha256": "56c885f84457f6680f8438f02bfcdac9579323d8a94465ee5f26e32baa727602",

Network accessline 18

"dataset_url": "https://archive.ics.uci.edu/static/public/350/default+of+credit+card+clients.zip",

`docs/assets/optim-agent-logo-dark.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" width="269" height="64" viewBox="0 0 269 64" role="img" aria-label="optim-agent">

`docs/assets/optim-agent-logo-light.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" width="269" height="64" viewBox="0 0 269 64" role="img" aria-label="optim-agent">

`docs/assets/optim-agent-mark.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" width="64" height="64" viewBox="0 0 64 64" role="img" aria-label="optim-agent">

`docs/i18n/README_DE.md`

Network accessline 15

<p align="center">   <a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 16

<a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 17

<a href="https://hits.sh/github.com/Optim-Agent/optim-agent/"><img alt="Repo views" src="https://hits.sh/github.com/Optim-Agent/optim-agent.svg?label=repo%20views"></a>

Network accessline 18

<a href="https://pypi.org/project/optim-agent/"><img alt="PyPI" src="https://img.shields.io/pypi/v/optim-agent"></a>

Network accessline 19

<a href="https://pypi.org/project/optim-agent/"><img alt="Python versions" src="https://img.shields.io/pypi/pyversions/optim-agent"></a>

Network accessline 20

<a href="../../LICENSE"><img alt="License: MIT" src="https://img.shields.io/pypi/l/optim-agent"></a>

Network accessline 21

<a href="https://optim-agent.github.io/optim-agent/"><img alt="Docs" src="https://img.shields.io/badge/docs-online-blue"></a>

Network accessline 22

<a href="https://code.claude.com/docs/en/skills"><img alt="Claude Skill" src="https://img.shields.io/badge/Claude-Skill-D97757?logo=claude&logoColor=white"></a>

Network accessline 23

<a href="https://developers.openai.com/codex/skills"><img alt="Codex Skill" src="https://img.shields.io/badge/Codex-Skill-blue?logo=openai&logoColor=white"></a>

Network accessline 67

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 82

# Neuester Quellstand von GitHub python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 83

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 86

Erfordert mindestens eine authentifizierte Agent CLI in `PATH`: [claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 87

[claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 88

[codex](https://github.com/openai/codex) oder

Network accessline 89

[OpenCode](https://github.com/sst/opencode).

Network accessline 259

Dieser CPU-only Benchmark tuned acht Trainingsparameter eines `HistGradientBoostingClassifier` auf dem UCI-Datensatz [Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients):

Network accessline 260

[Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients):

Network accessline 442

$skill-installer install https://github.com/Optim-Agent/optim-agent

Access to secretsline 471
```
[Credential-related source omitted]
```
Access to secretsline 472
```
[Credential-related source omitted]
```

Network accessline 493

- [Optuna](https://github.com/optuna/optuna) für die Verbreitung der Study/Trial-Schnittstelle, die TPE-Baseline in Beispielen

Network accessline 495

- [OpenCode](https://github.com/sst/opencode) für den Zugang zu den kostenlosen Modellen in den Hard-function Benchmarks.

`docs/i18n/README_ES.md`

Network accessline 15

<p align="center">   <a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 16

<a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 17

<a href="https://hits.sh/github.com/Optim-Agent/optim-agent/"><img alt="Repo views" src="https://hits.sh/github.com/Optim-Agent/optim-agent.svg?label=repo%20views"></a>

Network accessline 18

<a href="https://pypi.org/project/optim-agent/"><img alt="PyPI" src="https://img.shields.io/pypi/v/optim-agent"></a>

Network accessline 19

<a href="https://pypi.org/project/optim-agent/"><img alt="Python versions" src="https://img.shields.io/pypi/pyversions/optim-agent"></a>

Network accessline 20

<a href="../../LICENSE"><img alt="License: MIT" src="https://img.shields.io/pypi/l/optim-agent"></a>

Network accessline 21

<a href="https://optim-agent.github.io/optim-agent/"><img alt="Docs" src="https://img.shields.io/badge/docs-online-blue"></a>

Network accessline 22

<a href="https://code.claude.com/docs/en/skills"><img alt="Claude Skill" src="https://img.shields.io/badge/Claude-Skill-D97757?logo=claude&logoColor=white"></a>

Network accessline 23

<a href="https://developers.openai.com/codex/skills"><img alt="Codex Skill" src="https://img.shields.io/badge/Codex-Skill-blue?logo=openai&logoColor=white"></a>

Network accessline 67

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 82

# Código más reciente de GitHub python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 83

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 86

Requiere un agent CLI autenticado en `PATH`: [claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 87

[claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 88

[codex](https://github.com/openai/codex) u

Network accessline 89

[OpenCode](https://github.com/sst/opencode).

Network accessline 261

Este benchmark CPU-only ajusta ocho parámetros de entrenamiento de un `HistGradientBoostingClassifier` sobre UCI [Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients):

Network accessline 262

[Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients):

Network accessline 446

$skill-installer install https://github.com/Optim-Agent/optim-agent

Access to secretsline 475
```
[Credential-related source omitted]
```
Access to secretsline 476
```
[Credential-related source omitted]
```

Network accessline 497

- [Optuna](https://github.com/optuna/optuna) por popularizar la interfaz Study/Trial, proporcionar la baseline TPE usada

Network accessline 499

- [OpenCode](https://github.com/sst/opencode) por dar acceso a los modelos gratuitos evaluados en los benchmarks de funciones difíciles.

`docs/i18n/README_FR.md`

Network accessline 15

<p align="center">   <a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 16

<a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 17

<a href="https://hits.sh/github.com/Optim-Agent/optim-agent/"><img alt="Repo views" src="https://hits.sh/github.com/Optim-Agent/optim-agent.svg?label=repo%20views"></a>

Network accessline 18

<a href="https://pypi.org/project/optim-agent/"><img alt="PyPI" src="https://img.shields.io/pypi/v/optim-agent"></a>

Network accessline 19

<a href="https://pypi.org/project/optim-agent/"><img alt="Python versions" src="https://img.shields.io/pypi/pyversions/optim-agent"></a>

Network accessline 20

<a href="../../LICENSE"><img alt="License: MIT" src="https://img.shields.io/pypi/l/optim-agent"></a>

Network accessline 21

<a href="https://optim-agent.github.io/optim-agent/"><img alt="Docs" src="https://img.shields.io/badge/docs-online-blue"></a>

Network accessline 22

<a href="https://code.claude.com/docs/en/skills"><img alt="Claude Skill" src="https://img.shields.io/badge/Claude-Skill-D97757?logo=claude&logoColor=white"></a>

Network accessline 23

<a href="https://developers.openai.com/codex/skills"><img alt="Codex Skill" src="https://img.shields.io/badge/Codex-Skill-blue?logo=openai&logoColor=white"></a>

Network accessline 67

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 82

# Dernière version source sur GitHub python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 83

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 86

Nécessite un agent CLI authentifié dans `PATH` : [claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 87

[claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 88

[codex](https://github.com/openai/codex) ou

Network accessline 89

[OpenCode](https://github.com/sst/opencode).

Network accessline 262

Ce benchmark CPU-only règle huit paramètres d'entraînement d'un `HistGradientBoostingClassifier` sur le jeu UCI [Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients) :

Network accessline 263

[Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients) :

Network accessline 445

$skill-installer install https://github.com/Optim-Agent/optim-agent

Access to secretsline 474
```
[Credential-related source omitted]
```
Access to secretsline 475
```
[Credential-related source omitted]
```

Network accessline 496

- [Optuna](https://github.com/optuna/optuna) pour avoir popularisé l'interface Study/Trial, fourni la baseline TPE utilisée

Network accessline 498

- [OpenCode](https://github.com/sst/opencode) pour l'accès aux modèles gratuits évalués dans les benchmarks de fonctions difficiles.

`docs/i18n/README_JA.md`

Network accessline 15

<p align="center">   <a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 16

<a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 17

<a href="https://hits.sh/github.com/Optim-Agent/optim-agent/"><img alt="Repo views" src="https://hits.sh/github.com/Optim-Agent/optim-agent.svg?label=repo%20views"></a>

Network accessline 18

<a href="https://pypi.org/project/optim-agent/"><img alt="PyPI" src="https://img.shields.io/pypi/v/optim-agent"></a>

Network accessline 19

<a href="https://pypi.org/project/optim-agent/"><img alt="Python versions" src="https://img.shields.io/pypi/pyversions/optim-agent"></a>

Network accessline 20

<a href="../../LICENSE"><img alt="License: MIT" src="https://img.shields.io/pypi/l/optim-agent"></a>

Network accessline 21

<a href="https://optim-agent.github.io/optim-agent/"><img alt="Docs" src="https://img.shields.io/badge/docs-online-blue"></a>

Network accessline 22

<a href="https://code.claude.com/docs/en/skills"><img alt="Claude Skill" src="https://img.shields.io/badge/Claude-Skill-D97757?logo=claude&logoColor=white"></a>

Network accessline 23

<a href="https://developers.openai.com/codex/skills"><img alt="Codex Skill" src="https://img.shields.io/badge/Codex-Skill-blue?logo=openai&logoColor=white"></a>

Network accessline 66

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 81

# GitHub の最新ソース python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 82

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 85

`PATH` 上で認証済みの agent CLI が 1 つ必要です: [claude](https://docs.anthropic.com/en/docs/claude-code)、

Network accessline 86

[claude](https://docs.anthropic.com/en/docs/claude-code)、

Network accessline 87

[codex](https://github.com/openai/codex)、または

Network accessline 88

[OpenCode](https://github.com/sst/opencode)。

Network accessline 258

この CPU-only ベンチマークは、UCI [Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients)

Network accessline 259

[Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients)

Network accessline 442

$skill-installer install https://github.com/Optim-Agent/optim-agent

Access to secretsline 471
```
[Credential-related source omitted]
```
Access to secretsline 472
```
[Credential-related source omitted]
```

Network accessline 493

- [Optuna](https://github.com/optuna/optuna) は Study/Trial インターフェースを広め、

Network accessline 495

- [OpenCode](https://github.com/sst/opencode) は hard-function benchmarks で評価した無料モデルへのアクセスを提供しました。

`docs/i18n/README_KO.md`

Network accessline 15

<p align="center">   <a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 16

<a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 17

<a href="https://hits.sh/github.com/Optim-Agent/optim-agent/"><img alt="Repo views" src="https://hits.sh/github.com/Optim-Agent/optim-agent.svg?label=repo%20views"></a>

Network accessline 18

<a href="https://pypi.org/project/optim-agent/"><img alt="PyPI" src="https://img.shields.io/pypi/v/optim-agent"></a>

Network accessline 19

<a href="https://pypi.org/project/optim-agent/"><img alt="Python versions" src="https://img.shields.io/pypi/pyversions/optim-agent"></a>

Network accessline 20

<a href="../../LICENSE"><img alt="License: MIT" src="https://img.shields.io/pypi/l/optim-agent"></a>

Network accessline 21

<a href="https://optim-agent.github.io/optim-agent/"><img alt="Docs" src="https://img.shields.io/badge/docs-online-blue"></a>

Network accessline 22

<a href="https://code.claude.com/docs/en/skills"><img alt="Claude Skill" src="https://img.shields.io/badge/Claude-Skill-D97757?logo=claude&logoColor=white"></a>

Network accessline 23

<a href="https://developers.openai.com/codex/skills"><img alt="Codex Skill" src="https://img.shields.io/badge/Codex-Skill-blue?logo=openai&logoColor=white"></a>

Network accessline 66

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 81

# GitHub 최신 소스 python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 82

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 85

`PATH`에 인증된 agent CLI가 하나 이상 필요합니다: [claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 86

[claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 87

[codex](https://github.com/openai/codex), 또는

Network accessline 88

[OpenCode](https://github.com/sst/opencode).

Network accessline 255

이 CPU-only benchmark는 UCI [Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients)

Network accessline 256

[Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients)

Network accessline 435

$skill-installer install https://github.com/Optim-Agent/optim-agent

Access to secretsline 464
```
[Credential-related source omitted]
```
Access to secretsline 465
```
[Credential-related source omitted]
```

Network accessline 486

- [Optuna](https://github.com/optuna/optuna)는 Study/Trial interface를 대중화했고,

Network accessline 488

- [OpenCode](https://github.com/sst/opencode)는 hard-function benchmarks에서 평가한 free model 접근을 제공했습니다.

`docs/i18n/README_PT.md`

Network accessline 15

<p align="center">   <a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 16

<a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 17

<a href="https://hits.sh/github.com/Optim-Agent/optim-agent/"><img alt="Repo views" src="https://hits.sh/github.com/Optim-Agent/optim-agent.svg?label=repo%20views"></a>

Network accessline 18

<a href="https://pypi.org/project/optim-agent/"><img alt="PyPI" src="https://img.shields.io/pypi/v/optim-agent"></a>

Network accessline 19

<a href="https://pypi.org/project/optim-agent/"><img alt="Python versions" src="https://img.shields.io/pypi/pyversions/optim-agent"></a>

Network accessline 20

<a href="../../LICENSE"><img alt="License: MIT" src="https://img.shields.io/pypi/l/optim-agent"></a>

Network accessline 21

<a href="https://optim-agent.github.io/optim-agent/"><img alt="Docs" src="https://img.shields.io/badge/docs-online-blue"></a>

Network accessline 22

<a href="https://code.claude.com/docs/en/skills"><img alt="Claude Skill" src="https://img.shields.io/badge/Claude-Skill-D97757?logo=claude&logoColor=white"></a>

Network accessline 23

<a href="https://developers.openai.com/codex/skills"><img alt="Codex Skill" src="https://img.shields.io/badge/Codex-Skill-blue?logo=openai&logoColor=white"></a>

Network accessline 66

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 81

# Código mais recente do GitHub python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 82

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 85

Requer um agent CLI autenticado no `PATH`: [claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 86

[claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 87

[codex](https://github.com/openai/codex) ou

Network accessline 88

[OpenCode](https://github.com/sst/opencode).

Network accessline 260

Este benchmark somente CPU ajusta oito parâmetros de treino de um `HistGradientBoostingClassifier` no UCI [Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients):

Network accessline 261

[Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients):

Network accessline 443

$skill-installer install https://github.com/Optim-Agent/optim-agent

Access to secretsline 472
```
[Credential-related source omitted]
```
Access to secretsline 473
```
[Credential-related source omitted]
```

Network accessline 494

- [Optuna](https://github.com/optuna/optuna) por popularizar a interface Study/Trial, fornecer a baseline TPE usada

Network accessline 496

- [OpenCode](https://github.com/sst/opencode) por fornecer acesso aos modelos gratuitos avaliados nos benchmarks de funções difíceis.

`docs/i18n/README_RU.md`

Network accessline 15

<p align="center">   <a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 16

<a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 17

<a href="https://hits.sh/github.com/Optim-Agent/optim-agent/"><img alt="Repo views" src="https://hits.sh/github.com/Optim-Agent/optim-agent.svg?label=repo%20views"></a>

Network accessline 18

<a href="https://pypi.org/project/optim-agent/"><img alt="PyPI" src="https://img.shields.io/pypi/v/optim-agent"></a>

Network accessline 19

<a href="https://pypi.org/project/optim-agent/"><img alt="Python versions" src="https://img.shields.io/pypi/pyversions/optim-agent"></a>

Network accessline 20

<a href="../../LICENSE"><img alt="License: MIT" src="https://img.shields.io/pypi/l/optim-agent"></a>

Network accessline 21

<a href="https://optim-agent.github.io/optim-agent/"><img alt="Docs" src="https://img.shields.io/badge/docs-online-blue"></a>

Network accessline 22

<a href="https://code.claude.com/docs/en/skills"><img alt="Claude Skill" src="https://img.shields.io/badge/Claude-Skill-D97757?logo=claude&logoColor=white"></a>

Network accessline 23

<a href="https://developers.openai.com/codex/skills"><img alt="Codex Skill" src="https://img.shields.io/badge/Codex-Skill-blue?logo=openai&logoColor=white"></a>

Network accessline 67

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 82

# Свежий исходный код с GitHub python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 83

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 86

Нужен как минимум один аутентифицированный agent CLI в `PATH`: [claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 87

[claude](https://docs.anthropic.com/en/docs/claude-code),

Network accessline 88

[codex](https://github.com/openai/codex) или

Network accessline 89

[OpenCode](https://github.com/sst/opencode).

Network accessline 260

Этот CPU-only benchmark настраивает восемь training parameters `HistGradientBoostingClassifier` на UCI [Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients):

Network accessline 261

[Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients):

Network accessline 442

$skill-installer install https://github.com/Optim-Agent/optim-agent

Access to secretsline 471
```
[Credential-related source omitted]
```
Access to secretsline 472
```
[Credential-related source omitted]
```

Network accessline 493

- [Optuna](https://github.com/optuna/optuna) за популяризацию интерфейса Study/Trial, TPE baseline

Network accessline 495

- [OpenCode](https://github.com/sst/opencode) за доступ к free models, оцененным в hard-function benchmarks.

`docs/i18n/README_ZH.md`

Network accessline 15

<p align="center">   <a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 16

<a href="https://github.com/Optim-Agent/optim-agent/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/Optim-Agent/optim-agent?style=square"></a>

Network accessline 17

<a href="https://hits.sh/github.com/Optim-Agent/optim-agent/"><img alt="Repo views" src="https://hits.sh/github.com/Optim-Agent/optim-agent.svg?label=repo%20views"></a>

Network accessline 18

<a href="https://pypi.org/project/optim-agent/"><img alt="PyPI" src="https://img.shields.io/pypi/v/optim-agent"></a>

Network accessline 19

<a href="https://pypi.org/project/optim-agent/"><img alt="Python versions" src="https://img.shields.io/pypi/pyversions/optim-agent"></a>

Network accessline 20

<a href="../../LICENSE"><img alt="License: MIT" src="https://img.shields.io/pypi/l/optim-agent"></a>

Network accessline 21

<a href="https://optim-agent.github.io/optim-agent/"><img alt="Docs" src="https://img.shields.io/badge/docs-online-blue"></a>

Network accessline 22

<a href="https://code.claude.com/docs/en/skills"><img alt="Claude Skill" src="https://img.shields.io/badge/Claude-Skill-D97757?logo=claude&logoColor=white"></a>

Network accessline 23

<a href="https://developers.openai.com/codex/skills"><img alt="Codex Skill" src="https://img.shields.io/badge/Codex-Skill-blue?logo=openai&logoColor=white"></a>

Network accessline 65

$skill-installer install https://github.com/Optim-Agent/optim-agent

Network accessline 80

# GitHub 最新源码 python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 81

python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"

Network accessline 84

需要至少一个已登录且在 `PATH` 上的 agent CLI： [claude](https://docs.anthropic.com/en/docs/claude-code)、

Network accessline 85

[claude](https://docs.anthropic.com/en/docs/claude-code)、

Network accessline 86

[codex](https://github.com/openai/codex) 或

Network accessline 87

[OpenCode](https://github.com/sst/opencode)。

Network accessline 259

该 CPU-only 基准在 UCI [Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients)

Network accessline 260

[Default of Credit Card Clients](https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients)

Network accessline 436

$skill-installer install https://github.com/Optim-Agent/optim-agent

Access to secretsline 465
```
[Credential-related source omitted]
```
Access to secretsline 466
```
[Credential-related source omitted]
```

Network accessline 487

- 感谢 [Optuna](https://github.com/optuna/optuna) 推广 Study/Trial 接口、提供贯穿示例和

Network accessline 488

基准的 TPE 基线，并为实用优化工具树立高标准。 - 感谢 [OpenCode](https://github.com/sst/opencode) 提供本项目在困难函数基准中   评测的免费模型。

Network accessline 489

- 感谢 [OpenCode](https://github.com/sst/opencode) 提供本项目在困难函数基准中

`docs/index.html`

Network accessline 116

<table> <tr><th>Backend</th><th>CLI</th><th>Install docs</th></tr> <tr><td><code>claude</code></td><td>Claude Code</td><td><a href="https://docs.anthropic.com/en/docs/claude-code">docs.anthropic.com</a></td></tr>

Network accessline 117

<tr><th>Backend</th><th>CLI</th><th>Install docs</th></tr> <tr><td><code>claude</code></td><td>Claude Code</td><td><a href="https://docs.anthropic.com/en/docs/claude-code">docs.anthropic.com</a></td></tr> <tr><td><code>codex</code></td><td>

Network accessline 118

<tr><td><code>claude</code></td><td>Claude Code</td><td><a href="https://docs.anthropic.com/en/docs/claude-code">docs.anthropic.com</a></td></tr>

Network accessline 119

<tr><td><code>codex</code></td><td>Codex CLI</td><td><a href="https://github.com/openai/codex">github.com/openai/codex</a></td></tr>

Network accessline 120

<tr><td><code>opencode</code></td><td>OpenCode</td><td><a href="https://github.com/sst/opencode">github.com/sst/opencode</a></td></tr>

Network accessline 166

<table> <tr><th>Path</th><th>What it demonstrates</th><th>Requirements</th></tr> <tr><td><a href="https://github.com/Optim-Agent/optim-agent/blob/main/examples/quickstart.py">General quickstart</a></td>

Network accessline 167

<tr><th>Path</th><th>What it demonstrates</th><th>Requirements</th></tr> <tr><td><a href="https://github.com/Optim-Agent/optim-agent/blob/main/examples/quickstart.py">General quickstart</a></td>     <td>A complete black-box study with the t

Network accessline 168

<tr><td><a href="https://github.com/Optim-Agent/optim-agent/blob/main/examples/quickstart.py">General quickstart</a></td>

Network accessline 169

<td>A complete black-box study with the token-free mock backend.</td><td>stdlib only</td></tr> <tr><td><a href="https://github.com/Optim-Agent/optim-agent/blob/main/examples/sklearn_tuning.py">Classical ML</a></td>     <td>Random-forest acc

Network accessline 170

<tr><td><a href="https://github.com/Optim-Agent/optim-agent/blob/main/examples/sklearn_tuning.py">Classical ML</a></td>

Network accessline 171

<td>Random-forest accuracy on a built-in sklearn dataset.</td><td><code>.[ml]</code></td></tr> <tr><td><a href="https://github.com/Optim-Agent/optim-agent/blob/main/examples/inference_tuning.py">AI inference</a></td>     <td>An explicit qua

Network accessline 172

<tr><td><a href="https://github.com/Optim-Agent/optim-agent/blob/main/examples/inference_tuning.py">AI inference</a></td>

Network accessline 176

<p>The <a href="https://colab.research.google.com/github/Optim-Agent/optim-agent/blob/main/tutorials/quickstart.ipynb">quickstart notebook</a> is

Network accessline 403

<p>The pip package treats your objective as a blackbox — a subprocess agent sees only numbers. Skill mode inverts this: you install the <a href="https://github.com/Optim-Agent/optim-agent/blob/main/SKILL.md">optim-agent skill</a>

Network accessline 404

sees only numbers. Skill mode inverts this: you install the <a href="https://github.com/Optim-Agent/optim-agent/blob/main/SKILL.md">optim-agent skill</a> into a coding-agent session (e.g. Claude Code), and <em>the session agent

Network accessline 405

<a href="https://github.com/Optim-Agent/optim-agent/blob/main/SKILL.md">optim-agent skill</a>

Network accessline 411

<pre><code>$skill-installer install https://github.com/Optim-Agent/optim-agent</code></pre>

Network accessline 536

<p>This CPU-only benchmark tunes eight training parameters of a <code>HistGradientBoostingClassifier</code> on UCI's <a href="https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients">Default of Credit Card Clients</a>

Network accessline 537

<code>HistGradientBoostingClassifier</code> on UCI's <a href="https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients">Default of Credit Card Clients</a> dataset: 30,000 rows, 23 features, and a next-month default target. The

Network accessline 538

<a href="https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients">Default of Credit Card Clients</a>

Access to secretsline 660
```
[Credential-related source omitted]
```

Network accessline 707

<p>MIT licensed. Five-seed MNIST, CIFAR-10, and hard-function results are published above. Sources, issues, and contributions: <a href="https://github.com/Optim-Agent/optim-agent">GitHub</a>.</p>

Network accessline 708

published above. Sources, issues, and contributions: <a href="https://github.com/Optim-Agent/optim-agent">GitHub</a>.</p> </footer>

Network accessline 709

<a href="https://github.com/Optim-Agent/optim-agent">GitHub</a>.</p>

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/ABORTED_RUN_MANIFEST.40b13e0d.json`

Access to secretsline 33
```
[Credential-related source omitted]
```

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/EXECUTION_MANIFEST.json`

Access to secretsline 35
```
[Credential-related source omitted]
```
Access to secretsline 36
```
[Credential-related source omitted]
```

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/WORKER_BLOCKED.TASK-001.reporting.py`

Executable scriptline 1
```
Executable file
```

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry2/EXECUTION_MANIFEST.json`

Access to secretsline 36
```
[Credential-related source omitted]
```
Access to secretsline 37
```
[Credential-related source omitted]
```

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry3/EXECUTION_MANIFEST.json`

Access to secretsline 36
```
[Credential-related source omitted]
```
Access to secretsline 37
```
[Credential-related source omitted]
```

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry4/EXECUTION_MANIFEST.json`

Access to secretsline 36
```
[Credential-related source omitted]
```
Access to secretsline 37
```
[Credential-related source omitted]
```

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v1.md`

Network accessline 94

- Optuna exposes only log-level control (`optuna.logging.set_verbosity`), no result   narration: https://optuna.readthedocs.io/en/stable/reference/generated/optuna.logging.set_verbosity.html

Network accessline 95

narration: https://optuna.readthedocs.io/en/stable/reference/generated/optuna.logging.set_verbosity.html

Network accessline 97

Tune CLIReporter table) as the standard for tabular trial output; none offers an   LLM-authored result summary:   https://druce.ai/2020/10/hyperparameter-tuning-with-xgboost-ray-tune-hyperopt-and-optuna

Network accessline 98

LLM-authored result summary:   https://druce.ai/2020/10/hyperparameter-tuning-with-xgboost-ray-tune-hyperopt-and-optuna - HPO interpretability research treats explanation as an open add-on (e.g.

Network accessline 99

https://druce.ai/2020/10/hyperparameter-tuning-with-xgboost-ray-tune-hyperopt-and-optuna

Network accessline 101

https://arxiv.org/abs/2206.05447), supporting G1 as a differentiator.

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v2.md`

Network accessline 115

- Optuna exposes only log-level control (`optuna.logging.set_verbosity`), no result   narration: https://optuna.readthedocs.io/en/stable/reference/generated/optuna.logging.set_verbosity.html

Network accessline 116

narration: https://optuna.readthedocs.io/en/stable/reference/generated/optuna.logging.set_verbosity.html

Network accessline 118

Tune CLIReporter table) as the standard for tabular trial output; none offers an   LLM-authored result summary:   https://druce.ai/2020/10/hyperparameter-tuning-with-xgboost-ray-tune-hyperopt-and-optuna

Network accessline 119

LLM-authored result summary:   https://druce.ai/2020/10/hyperparameter-tuning-with-xgboost-ray-tune-hyperopt-and-optuna - HPO interpretability research treats explanation as an open add-on (e.g.

Network accessline 120

https://druce.ai/2020/10/hyperparameter-tuning-with-xgboost-ray-tune-hyperopt-and-optuna

Network accessline 122

https://arxiv.org/abs/2206.05447), supporting G1 as a differentiator.

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v3.md`

Network accessline 136

- Optuna exposes only log-level control (`optuna.logging.set_verbosity`), no result   narration: https://optuna.readthedocs.io/en/stable/reference/generated/optuna.logging.set_verbosity.html

Network accessline 137

narration: https://optuna.readthedocs.io/en/stable/reference/generated/optuna.logging.set_verbosity.html

Network accessline 139

Tune CLIReporter table) as the standard for tabular trial output; none offers an   LLM-authored result summary:   https://druce.ai/2020/10/hyperparameter-tuning-with-xgboost-ray-tune-hyperopt-and-optuna

Network accessline 140

LLM-authored result summary:   https://druce.ai/2020/10/hyperparameter-tuning-with-xgboost-ray-tune-hyperopt-and-optuna - HPO interpretability research treats explanation as an open add-on (e.g.

Network accessline 141

https://druce.ai/2020/10/hyperparameter-tuning-with-xgboost-ray-tune-hyperopt-and-optuna

Network accessline 143

https://arxiv.org/abs/2206.05447), supporting G1 as a differentiator.

`docs/privacy.html`

Network accessline 79

<p> For privacy questions, open an issue at <a href="https://github.com/Optim-Agent/optim-agent/issues">github.com/Optim-Agent/optim-agent</a>.

Network accessline 80

For privacy questions, open an issue at <a href="https://github.com/Optim-Agent/optim-agent/issues">github.com/Optim-Agent/optim-agent</a>. </p>

Network accessline 81

<a href="https://github.com/Optim-Agent/optim-agent/issues">github.com/Optim-Agent/optim-agent</a>.

`docs/superpowers/plans/2026-07-13-paper-novelty-framing.md`

Network accessline 32

histories to candidates without representing what each coordinate means. We present \emph{optim-agent} (\url{https://github.com/Optim-Agent/optim-agent}), a semantics-aware HPO

Network accessline 33

present \emph{optim-agent} (\url{https://github.com/Optim-Agent/optim-agent}), a semantics-aware HPO interface that exposes an existing command-line LLM agent as a sampler and

Network accessline 34

(\url{https://github.com/Optim-Agent/optim-agent}), a semantics-aware HPO

Network accessline 249

grep -n -E 'Semantics-Aware|semantic blindness|first-class input|systems boundary|auditable semantic trace' main.tex grep -o 'https://github.com/Optim-Agent/optim-agent' main.tex | wc -l

Network accessline 250

grep -o 'https://github.com/Optim-Agent/optim-agent' main.tex | wc -l

Dangerous shell operationline 262
```
rm -rf tmp/pdfs
```

`docs/superpowers/plans/2026-07-14-claude-codex-plugin-wrappers.md`

Network accessline 41

assert claude["author"]["name"] == codex["author"]["name"] == "Optim-Agent"     assert claude["repository"] == codex["repository"] == (         "https://github.com/Optim-Agent/optim-agent"

Network accessline 42

assert claude["repository"] == codex["repository"] == (         "https://github.com/Optim-Agent/optim-agent"     )

Network accessline 43

"https://github.com/Optim-Agent/optim-agent"

Network accessline 44

)     assert claude["homepage"] == codex["homepage"] == (         "https://optim-agent.github.io/optim-agent/"

Network accessline 45

assert claude["homepage"] == codex["homepage"] == (         "https://optim-agent.github.io/optim-agent/"     )

Network accessline 46

"https://optim-agent.github.io/optim-agent/"

`docs/superpowers/plans/2026-07-14-paper-overview-diagram.md`

Dangerous shell operationline 132
```
rm -rf /tmp/pdfs/optim-agent-paper
```

`docs/superpowers/plans/2026-07-14-skill-hub-distribution.md`

Network accessline 75

Navigate to `https://agentskill.sh/submit` using the signed-in browser session.

Network accessline 79

Submit `https://github.com/Optim-Agent/optim-agent` using the `Optim-Agent` identity where the site requests attribution. Do not upload a copied file or archive.

Dangerous shell operationline 110
```
rm -rf /tmp/optim-agent-clawhub
```

Network accessline 120

NPM_CONFIG_CACHE=/tmp/optim-agent-npm-cache npx --yes clawhub publish    /tmp/optim-agent-clawhub    --slug optim-agent --name optim-agent --owner Optim-Agent    --version 0.1.1 --tags latest,hpo,optimization    --topics bayesian-optimizati

Network accessline 123

--version 0.1.1 --tags latest,hpo,optimization \   --topics bayesian-optimization,hyperparameter-optimization,agent-skills \   --source-repo https://github.com/Optim-Agent/optim-agent \

Network accessline 124

--topics bayesian-optimization,hyperparameter-optimization,agent-skills \   --source-repo https://github.com/Optim-Agent/optim-agent \   --source-commit 5206d0e --source-ref main --source-path . \

Network accessline 125

--source-repo https://github.com/Optim-Agent/optim-agent \

`docs/superpowers/specs/2026-07-14-claude-codex-plugin-wrappers-design.md`

Network accessline 11

- version: `0.1.1` - developer: `Optim-Agent` - repository: `https://github.com/Optim-Agent/optim-agent`

Network accessline 12

- developer: `Optim-Agent` - repository: `https://github.com/Optim-Agent/optim-agent` - homepage: `https://optim-agent.github.io/optim-agent/`

Network accessline 13

- repository: `https://github.com/Optim-Agent/optim-agent`

Network accessline 14

- homepage: `https://optim-agent.github.io/optim-agent/`

`docs/superpowers/specs/2026-07-14-skill-hub-distribution-design.md`

Network accessline 29

Submit `https://github.com/Optim-Agent/optim-agent` through the site submission

`examples/cifar10.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 100
```
[Credential-related source omitted]
```
Access to secretsline 111
```
[Credential-related source omitted]
```

`examples/credit_card.py`

Executable scriptline 1
```
Executable file
```

Network accessline 36

DATASET_ID = 350 DATASET_PAGE = (     "https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients"

Network accessline 37

DATASET_PAGE = (     "https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients" )

Network accessline 38

"https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients"

Network accessline 39

) DATA_URL = (     "https://archive.ics.uci.edu/static/public/350/"

Network accessline 40

DATA_URL = (     "https://archive.ics.uci.edu/static/public/350/"     "default+of+credit+card+clients.zip"

Network accessline 41

"https://archive.ics.uci.edu/static/public/350/"

Network accessline 542

temporary = path.with_suffix(path.suffix + ".tmp")     temporary.unlink(missing_ok=True)     request = urllib.request.Request(DATA_URL, headers={"User-Agent": "optim-agent/0.1"})

Network accessline 543

temporary.unlink(missing_ok=True)     request = urllib.request.Request(DATA_URL, headers={"User-Agent": "optim-agent/0.1"})     try:

Network accessline 544

request = urllib.request.Request(DATA_URL, headers={"User-Agent": "optim-agent/0.1"})

Network accessline 545

try:         with urllib.request.urlopen(request, timeout=60) as response, temporary.open("wb") as out:             shutil.copyfileobj(response, out)

Network accessline 546

with urllib.request.urlopen(request, timeout=60) as response, temporary.open("wb") as out:

`examples/hard_functions.py`

Executable scriptline 1
```
Executable file
```

`examples/inference_tuning.py`

Executable scriptline 1
```
Executable file
```

`examples/mnist.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 100
```
[Credential-related source omitted]
```
Access to secretsline 111
```
[Credential-related source omitted]
```

`examples/quickstart.py`

Executable scriptline 1
```
Executable file
```

`examples/rl_control.py`

Executable scriptline 1
```
Executable file
```

`examples/sklearn_tuning.py`

Executable scriptline 1
```
Executable file
```

`optim_agent/init.py`

Executable scriptline 1
```
Executable file
```

`optim_agent/agent.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 45
```
[Credential-related source omitted]
```

`optim_agent/pruners.py`

Executable scriptline 1
```
Executable file
```

`optim_agent/reporting.py`

Executable scriptline 1
```
Executable file
```

`optim_agent/samplers.py`

Executable scriptline 1
```
Executable file
```

`optim_agent/space.py`

Executable scriptline 1
```
Executable file
```

`optim_agent/study.py`

Executable scriptline 1
```
Executable file
```

`optim_agent/summarizer.py`

Executable scriptline 1
```
Executable file
```

`plugins/optim-agent/.claude-plugin/plugin.json`

Network accessline 5

"author": {     "name": "Optim-Agent",     "url": "https://github.com/Optim-Agent"

Network accessline 6

"name": "Optim-Agent",     "url": "https://github.com/Optim-Agent"   },

Network accessline 7
```
"url": "https://github.com/Optim-Agent"
```

Network accessline 8

},   "homepage": "https://optim-agent.github.io/optim-agent/",   "repository": "https://github.com/Optim-Agent/optim-agent",

Network accessline 9

"homepage": "https://optim-agent.github.io/optim-agent/",

Network accessline 10

"repository": "https://github.com/Optim-Agent/optim-agent",

`plugins/optim-agent/.codex-plugin/plugin.json`

Network accessline 5

"author": {     "name": "Optim-Agent",     "url": "https://github.com/Optim-Agent"

Network accessline 6

"name": "Optim-Agent",     "url": "https://github.com/Optim-Agent"   },

Network accessline 7
```
"url": "https://github.com/Optim-Agent"
```

Network accessline 8

},   "homepage": "https://optim-agent.github.io/optim-agent/",   "repository": "https://github.com/Optim-Agent/optim-agent",

Network accessline 9

"homepage": "https://optim-agent.github.io/optim-agent/",

Network accessline 10

"repository": "https://github.com/Optim-Agent/optim-agent",

Network accessline 23

"category": "Productivity",     "capabilities": [],     "websiteURL": "https://optim-agent.github.io/optim-agent/",

Network accessline 24

"capabilities": [],     "websiteURL": "https://optim-agent.github.io/optim-agent/",     "defaultPrompt": "Optimize this system's configurable parameters against its measurable objective."

Network accessline 25

"websiteURL": "https://optim-agent.github.io/optim-agent/",

`pyproject.toml`

Network accessline 29

[project.urls] Homepage = "https://github.com/Optim-Agent/optim-agent"

Network accessline 30

Homepage = "https://github.com/Optim-Agent/optim-agent"

Network accessline 31

Documentation = "https://optim-agent.github.io/optim-agent/"

Network accessline 32

Repository = "https://github.com/Optim-Agent/optim-agent"

Network accessline 33

Issues = "https://github.com/Optim-Agent/optim-agent/issues"

Network accessline 34

Changelog = "https://github.com/Optim-Agent/optim-agent/blob/main/CHANGELOG.md"

`scripts/check_public_readiness.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/render_classification_benchmarks.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/render_credit_paper_figure.py`

Executable scriptline 1
```
Executable file
```

`scripts/render_trajectory.py`

Executable scriptline 1
```
Executable file
```

`scripts/run_gpbo_credit.py`

Executable scriptline 1
```
Executable file
```

`scripts/run_gpbo_hard_functions.py`

Executable scriptline 1
```
Executable file
```

`scripts/verify_classification_cumulative_error.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`tests/test_lunarlander_animation.py`

Executable scriptline 1
```
Executable file
```

`tests/test_metric_terminology.py`

Executable scriptline 1
```
Executable file
```

`tests/test_optim_agent.py`

Executable scriptline 1
```
Executable file
```

Network accessline 340

assert credit.DATASET_ID == 350     assert credit.DATA_URL == (         "https://archive.ics.uci.edu/static/public/350/"

Network accessline 341

assert credit.DATA_URL == (         "https://archive.ics.uci.edu/static/public/350/"         "default+of+credit+card+clients.zip"

Network accessline 342

"https://archive.ics.uci.edu/static/public/350/"

Network accessline 771

english = (root / "README.md").read_text()     assert "OpenCode currently does not support distributed computing" in english     assert "[OpenCode](https://github.com/sst/opencode)" in english

Network accessline 772

assert "OpenCode currently does not support distributed computing" in english     assert "[OpenCode](https://github.com/sst/opencode)" in english     assert 'python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agen

Network accessline 773

assert "[OpenCode](https://github.com/sst/opencode)" in english

Network accessline 774

assert 'python -m pip install "optim-agent @ git+https://github.com/Optim-Agent/optim-agent.git"' in english

Network accessline 801

"explicit_reasoning=True",             "qualitative_notes=True",             "$skill-installer install https://github.com/Optim-Agent/optim-agent",

Network accessline 802

"qualitative_notes=True",             "$skill-installer install https://github.com/Optim-Agent/optim-agent",             "../../SKILL.md",

Network accessline 803

"$skill-installer install https://github.com/Optim-Agent/optim-agent",

Network accessline 804

"../../SKILL.md",             "python -m pip install optim-agent",             "git+https://github.com/Optim-Agent/optim-agent.git",

Network accessline 805

"python -m pip install optim-agent",             "git+https://github.com/Optim-Agent/optim-agent.git",             "distributed",

Network accessline 806

"git+https://github.com/Optim-Agent/optim-agent.git",

Network accessline 807

"distributed",             "[OpenCode](https://github.com/sst/opencode)",         ):

Network accessline 808

"[OpenCode](https://github.com/sst/opencode)",

`tests/test_plugin_manifests.py`

Executable scriptline 1
```
Executable file
```

Network accessline 19

assert claude["author"]["name"] == codex["author"]["name"] == "Optim-Agent"     assert claude["repository"] == codex["repository"] == (         "https://github.com/Optim-Agent/optim-agent"

Network accessline 20

assert claude["repository"] == codex["repository"] == (         "https://github.com/Optim-Agent/optim-agent"     )

Network accessline 21

"https://github.com/Optim-Agent/optim-agent"

Network accessline 22

)     assert claude["homepage"] == codex["homepage"] == (         "https://optim-agent.github.io/optim-agent/"

Network accessline 23

assert claude["homepage"] == codex["homepage"] == (         "https://optim-agent.github.io/optim-agent/"     )

Network accessline 24

"https://optim-agent.github.io/optim-agent/"

`tests/test_public_readiness.py`

Executable scriptline 1
```
Executable file
```

Network accessline 27

normalized_skill = " ".join(skill.split())     for text in (         "$skill-installer install https://github.com/Optim-Agent/optim-agent",

Network accessline 28

for text in (         "$skill-installer install https://github.com/Optim-Agent/optim-agent",         "Claude Code",

Network accessline 29

"$skill-installer install https://github.com/Optim-Agent/optim-agent",

Network accessline 31

"OpenCode/OpenClaw",         "python -m pip install optim-agent",         "git+https://github.com/Optim-Agent/optim-agent.git",

Network accessline 32

"python -m pip install optim-agent",         "git+https://github.com/Optim-Agent/optim-agent.git",         ".optim-agent-runs/",

Network accessline 33

"git+https://github.com/Optim-Agent/optim-agent.git",

Access to secretsline 55
```
[Credential-related source omitted]
```

`tests/test_reporting.py`

Executable scriptline 1
```
Executable file
```

`tutorials/quickstart.ipynb`

Executable scriptline 1
```
Executable file
```

Network accessline 7

"# optim-agent quickstart\n",     "\n",     "[Open this notebook in Colab](https://colab.research.google.com/github/Optim-Agent/optim-agent/blob/main/tutorials/quickstart.ipynb).\n",

Network accessline 8

"\n",     "[Open this notebook in Colab](https://colab.research.google.com/github/Optim-Agent/optim-agent/blob/main/tutorials/quickstart.ipynb).\n",     "\n",

Network accessline 9

"[Open this notebook in Colab](https://colab.research.google.com/github/Optim-Agent/optim-agent/blob/main/tutorials/quickstart.ipynb).\n",

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 1 fact

Network access in code of the SKILL.mdSKILL.md:36High confidence

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Native	Manifest .claude-plugin/marketplace.json	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

Optim-Agent/optim-agent

History

SKILL.md

plugins/optim-agent/SKILL.md

plugins/optim-agent/skills/optim-agent/SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

optim-agent

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

optim-agent

Frontmatter

SKILL.md

Reference documents

The playbook

Files

optim-agent

Frontmatter

SKILL.md

Reference documents

The playbook

Files

Skills included

Repository facts

Rank over the last 12 weeks

Before you install

.claude-plugin/marketplace.json

.pre-commit-config.yaml

CHANGELOG.md

CITATION.cff

CODE_OF_CONDUCT.md

README.md

SKILL.md

docs/assets/credit_default_GP-BO_s0.json

docs/assets/credit_default_GP-BO_s1.json

docs/assets/credit_default_GP-BO_s2.json

docs/assets/credit_default_GP-BO_s3.json

docs/assets/credit_default_GP-BO_s4.json

docs/assets/credit_default_GPT-5.5-no-context_s0.json

docs/assets/credit_default_GPT-5.5-no-context_s1.json

docs/assets/credit_default_GPT-5.5-no-context_s2.json

docs/assets/credit_default_GPT-5.5-no-context_s3.json

docs/assets/credit_default_GPT-5.5-no-context_s4.json

docs/assets/credit_default_GPT-5.5_s0.json

docs/assets/credit_default_GPT-5.5_s1.json

docs/assets/credit_default_GPT-5.5_s2.json

docs/assets/credit_default_GPT-5.5_s3.json

docs/assets/credit_default_GPT-5.5_s4.json

docs/assets/credit_default_Random_s0.json

docs/assets/credit_default_Random_s1.json

docs/assets/credit_default_Random_s2.json

docs/assets/credit_default_Random_s3.json

docs/assets/credit_default_Random_s4.json

docs/assets/credit_default_TPE_s0.json

docs/assets/credit_default_TPE_s1.json

docs/assets/credit_default_TPE_s2.json

docs/assets/credit_default_TPE_s3.json

docs/assets/credit_default_TPE_s4.json

docs/assets/optim-agent-logo-dark.svg

docs/assets/optim-agent-logo-light.svg

docs/assets/optim-agent-mark.svg

docs/i18n/README_DE.md

docs/i18n/README_ES.md

docs/i18n/README_FR.md

docs/i18n/README_JA.md

docs/i18n/README_KO.md

docs/i18n/README_PT.md

docs/i18n/README_RU.md

docs/i18n/README_ZH.md

docs/index.html

docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/ABORTED_RUN_MANIFEST.40b13e0d.json

docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/EXECUTION_MANIFEST.json

docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/WORKER_BLOCKED.TASK-001.reporting.py

`SKILL.md`

`plugins/optim-agent/SKILL.md`

`plugins/optim-agent/skills/optim-agent/SKILL.md`

`.claude-plugin/marketplace.json`

`.pre-commit-config.yaml`

`CHANGELOG.md`

`CITATION.cff`

`CODE_OF_CONDUCT.md`

`README.md`

`SKILL.md`

`docs/assets/credit_default_GP-BO_s0.json`

`docs/assets/credit_default_GP-BO_s1.json`

`docs/assets/credit_default_GP-BO_s2.json`

`docs/assets/credit_default_GP-BO_s3.json`

`docs/assets/credit_default_GP-BO_s4.json`

`docs/assets/credit_default_GPT-5.5-no-context_s0.json`

`docs/assets/credit_default_GPT-5.5-no-context_s1.json`

`docs/assets/credit_default_GPT-5.5-no-context_s2.json`

`docs/assets/credit_default_GPT-5.5-no-context_s3.json`

`docs/assets/credit_default_GPT-5.5-no-context_s4.json`

`docs/assets/credit_default_GPT-5.5_s0.json`

`docs/assets/credit_default_GPT-5.5_s1.json`

`docs/assets/credit_default_GPT-5.5_s2.json`

`docs/assets/credit_default_GPT-5.5_s3.json`

`docs/assets/credit_default_GPT-5.5_s4.json`

`docs/assets/credit_default_Random_s0.json`

`docs/assets/credit_default_Random_s1.json`

`docs/assets/credit_default_Random_s2.json`

`docs/assets/credit_default_Random_s3.json`

`docs/assets/credit_default_Random_s4.json`

`docs/assets/credit_default_TPE_s0.json`

`docs/assets/credit_default_TPE_s1.json`

`docs/assets/credit_default_TPE_s2.json`

`docs/assets/credit_default_TPE_s3.json`

`docs/assets/credit_default_TPE_s4.json`

`docs/assets/optim-agent-logo-dark.svg`

`docs/assets/optim-agent-logo-light.svg`

`docs/assets/optim-agent-mark.svg`

`docs/i18n/README_DE.md`

`docs/i18n/README_ES.md`

`docs/i18n/README_FR.md`

`docs/i18n/README_JA.md`

`docs/i18n/README_KO.md`

`docs/i18n/README_PT.md`

`docs/i18n/README_RU.md`

`docs/i18n/README_ZH.md`

`docs/index.html`

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/ABORTED_RUN_MANIFEST.40b13e0d.json`

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/EXECUTION_MANIFEST.json`

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry/WORKER_BLOCKED.TASK-001.reporting.py`

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry2/EXECUTION_MANIFEST.json`

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry3/EXECUTION_MANIFEST.json`

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging-retry4/EXECUTION_MANIFEST.json`

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v1.md`

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v2.md`

`docs/optim-plans/2026-07-27-summary-agent-and-table-logging/PLAN_v3.md`

`docs/privacy.html`

`docs/superpowers/plans/2026-07-13-paper-novelty-framing.md`

`docs/superpowers/plans/2026-07-14-claude-codex-plugin-wrappers.md`

`docs/superpowers/plans/2026-07-14-paper-overview-diagram.md`

`docs/superpowers/plans/2026-07-14-skill-hub-distribution.md`

`docs/superpowers/specs/2026-07-14-claude-codex-plugin-wrappers-design.md`

`docs/superpowers/specs/2026-07-14-skill-hub-distribution-design.md`

`examples/cifar10.py`

`examples/credit_card.py`

`examples/hard_functions.py`

`examples/inference_tuning.py`

`examples/mnist.py`

`examples/quickstart.py`

`examples/rl_control.py`

`examples/sklearn_tuning.py`

`optim_agent/init.py`

`optim_agent/agent.py`

`optim_agent/pruners.py`

`optim_agent/reporting.py`

`optim_agent/samplers.py`

`optim_agent/space.py`

`optim_agent/study.py`

`optim_agent/summarizer.py`

`plugins/optim-agent/.claude-plugin/plugin.json`