#535 by GitHub stars

databricks-solutions/ai-dev-kit

Databricks Toolkit for Coding Agents provided by Field Engineering

History

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View on GitHub Add to my skills

Verified commit d7d36218b497414a92e584f9908cc3947400e035

Version-pinned installation · Claude Code

git clone --filter=blob:none --no-checkout https://github.com/databricks-solutions/ai-dev-kit.git .hotskills/databricks-solutions-ai-dev-kit && git -C .hotskills/databricks-solutions-ai-dev-kit checkout --detach d7d36218b497414a92e584f9908cc3947400e035
# Copy each selected skill directory from .hotskills/databricks-solutions-ai-dev-kit into .claude/skills/<skill-name>/

2kGitHub stars

7stars in 7 days

4skills in this repository

4commits in 30 days

Heat

5.6

Star growth, last 7 daysAhead of 66% of tracked repositories
Star growth, last 24 hoursAhead of 71% of tracked repositories
Rank movement, last 7 daysAhead of 52% of tracked repositories
Commits, last 30 daysAhead of 67% of tracked repositories
Accounts asking about it through MCP, last 7 daysNot available
Hot votes this weekAhead of 0% of tracked repositories

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Individual skills in this repository

skill-test .test
general-quality .test/eval-criteria/general-quality
sql-correctness .test/eval-criteria/sql-correctness
tool-selection .test/eval-criteria/tool-selection

How it works

Choose a skill

skill-test

When your agent uses it

Testing framework for evaluating Databricks skills. Use when building test cases for skills, running skill evaluations, comparing skill versions, or creating ground truth datasets with the Generate-Review-Promote (GRP) pipeline. Triggers include "test skill", "evaluate skill", "skill regression", "ground truth", "GRP pipeline", "skill quality", and "skill metrics".

What it loads into context

Frontmatter

99 tokens

Always available to the agent

SKILL.md

1,976 tokens

When the skill is activated

Reference documents

24,404 tokens

Loaded on request

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

The playbook

Quick References
/skill-test Command
Execution Instructions
Command Handler
File Locations
Directory Structure
References

Scripts executed separately

../.claude-plugin/check_update.sh
../.claude-plugin/setup.sh
install_skill_test.sh
notebooks/gepa_skill_optimization_demo.ipynb
scripts/_common.py
scripts/add.py
scripts/add_example.py
scripts/baseline.py
scripts/generate_examples.py
scripts/generate_ground_truth.py
scripts/init_skill.py
scripts/list_traces.py
scripts/mlflow_eval.py
scripts/optimize.py
scripts/regression.py
scripts/review.py
scripts/routing_eval.py
scripts/run_app_eval.py
scripts/run_eval.py
scripts/scorers.py
scripts/scorers_update.py
scripts/sync.py
scripts/trace_eval.py
scripts/trace_to_examples.py
src/skill_test/__init__.py
src/skill_test/agent/__init__.py
src/skill_test/agent/executor.py
src/skill_test/cli/__init__.py
src/skill_test/cli/commands.py
src/skill_test/config.py
src/skill_test/dataset.py
src/skill_test/fixtures/__init__.py
src/skill_test/fixtures/setup.py
src/skill_test/grp/__init__.py
src/skill_test/grp/diagnosis.py
src/skill_test/grp/executor.py
src/skill_test/grp/pipeline.py
src/skill_test/grp/reviewer.py
src/skill_test/optimize/__init__.py
src/skill_test/optimize/agent_evaluator.py
src/skill_test/optimize/alignment.py
src/skill_test/optimize/asi.py
src/skill_test/optimize/assertions.py
src/skill_test/optimize/assessment_fetcher.py
src/skill_test/optimize/config.py
src/skill_test/optimize/eval_criteria.py
src/skill_test/optimize/judge_tools.py
src/skill_test/optimize/judges.py
src/skill_test/optimize/review.py
src/skill_test/optimize/runner.py
src/skill_test/optimize/skillbench_evaluator.py
src/skill_test/optimize/splitter.py
src/skill_test/optimize/tools.py
src/skill_test/optimize/utils.py
src/skill_test/runners/__init__.py
src/skill_test/runners/compare.py
src/skill_test/runners/evaluate.py
src/skill_test/scorers/__init__.py
src/skill_test/scorers/dynamic.py
src/skill_test/scorers/routing.py
src/skill_test/scorers/trace.py
src/skill_test/scorers/universal.py
src/skill_test/trace/__init__.py
src/skill_test/trace/mlflow_integration.py
src/skill_test/trace/models.py
src/skill_test/trace/parser.py
src/skill_test/trace/source.py
tests/__init__.py
tests/integration/__init__.py
tests/integration/conftest.py
tests/integration/test_review_workflow.py
tests/integration/test_scripts.py
tests/integration/test_trace_eval.py
tests/integration/test_trace_source.py
tests/test_cli.py
tests/test_install_aitools_agents.py
tests/test_optimize_e2e.py
tests/test_scorers.py

Files

../.claude-plugin/DEPRECATED.mddoc2,275 bytes
../.claude-plugin/check_update.shruns3,558 bytes
../.claude-plugin/marketplace.jsonasset457 bytes
../.claude-plugin/marketplace.jsonasset457 bytes
../.claude-plugin/plugin.jsonasset760 bytes
../.claude-plugin/plugin.jsonasset760 bytes
../.claude-plugin/setup.shruns2,801 bytes
CUSTOMIZATION_GUIDE.mddoc9,012 bytes
README.mddoc22,681 bytes
SKILL.mdcore8,001 bytes
SKILL.mdcore8,001 bytes
SKILL.mdcore8,001 bytes
SKILL.mdcore8,001 bytes
SKILL.mdcore8,001 bytes
TECHNICAL.mddoc33,690 bytes
baselines/databricks-agent-bricks/baseline.yamlasset521 bytes
baselines/databricks-aibi-dashboards/baseline.yamlasset478 bytes
baselines/databricks-apps-python/baseline.yamlasset328 bytes
baselines/databricks-bundles/baseline.yamlasset1,002 bytes
baselines/databricks-genie/baseline.yamlasset710 bytes
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baselines/databricks-spark-declarative-pipelines/baseline.yamlasset553 bytes
baselines/databricks-synthetic-data-gen/baseline.yamlasset521 bytes
baselines/databricks-zerobus-ingest/baseline.yamlasset853 bytes
install_skill_test.shruns3,716 bytes
notebooks/gepa_skill_optimization_demo.ipynbruns25,011 bytes
pyproject.tomlasset987 bytes
references/python-api.mddoc4,795 bytes
references/scorers.mddoc3,960 bytes
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references/workflows.mddoc7,095 bytes
references/yaml-schemas.mddoc3,562 bytes
scripts/_common.pyruns3,063 bytes
scripts/add.pyruns3,535 bytes
scripts/add_example.pyruns8,316 bytes
scripts/baseline.pyruns920 bytes
scripts/generate_examples.pyruns15,699 bytes
scripts/generate_ground_truth.pyruns22,677 bytes
scripts/init_skill.pyruns966 bytes
scripts/list_traces.pyruns2,409 bytes
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skills/databricks-spark-declarative-pipelines/manifest.yamlasset1,054 bytes
skills/databricks-spark-structured-streaming/ground_truth.yamlasset7,383 bytes
skills/databricks-spark-structured-streaming/manifest.yamlasset943 bytes
skills/databricks-synthetic-data-gen/candidates.yamlasset311 bytes
skills/databricks-synthetic-data-gen/expected_responses/gen_serverless_job_catalog_json_002.txtdoc10,970 bytes
skills/databricks-synthetic-data-gen/expected_responses/grp_20260302_113344.txtdoc8,246 bytes
skills/databricks-synthetic-data-gen/expected_responses/grp_20260302_retail_csv_3tables_003.txtdoc10,771 bytes
skills/databricks-synthetic-data-gen/expected_responses/grp_20260303_manufacturing_delta_streaming_004.txtdoc8,133 bytes
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skills/databricks-synthetic-data-generation/manifest.yamlasset925 bytes
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src/skill_test/agent/__init__.pyruns272 bytes
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src/skill_test/cli/__init__.pyruns6,792 bytes
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uv.lockasset1,033,350 bytes
../hooks/hooks.jsonasset420 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

Skills included

skill-test
general-quality
sql-correctness
tool-selection

Repository facts

License: No license detected
Created: Dec 17, 2025
Last pushed: Oct 30, 2026
Forks: 431
Open issues: 27
Project activity: Active

Rank over the last 12 weeks

Now #535 · best #400 · down 77 in 30 days

#529 on Oct 30
#530 from Oct 31 to Nov 1
#532 on Nov 2
#533 from Nov 3 to Nov 4
#534 on Nov 5
#535 since Nov 6

63 earlier periods

#372 on Aug 2
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#394 from Aug 10 to Aug 11
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#527 on Oct 29

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 10 notes

.claude-plugin/marketplace.json:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.claude-plugin/plugin.json:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.test/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.test/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.test/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.test/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.test/uv.lock:2533 Analysis incomplete: signal count limit reached
.claude-plugin/marketplace.json:1 Plugin-wide analysis incomplete; see repository notes
.claude-plugin/marketplace.json:1 Plugin-wide analysis incomplete; see repository notes
.claude-plugin/marketplace.json:1 Plugin-wide analysis incomplete; see repository notes

No broad tool permissions
7 dangerous shell commandsin 5 files: .claude-plugin/setup.sh:5 .test/trace-integration-plan.md:81 .claude-plugin/DEPRECATED.md:44 and 2 more
2,082 network referencesin 18 files: .test/uv.lock:12 .test/skills/databricks-config/ground_truth.yaml:25 .claude-plugin/setup.sh:3 and 15 more
No hidden or obfuscated text
No instruction overrides
78 executable scriptsin 78 files: .claude-plugin/check_update.sh:1 .claude-plugin/setup.sh:1 .test/install_skill_test.sh:1 and 75 more
124 references to secretsin 26 files: .test/skills/databricks-zerobus-ingest/ground_truth.yaml:50 .test/src/skill_test/optimize/judges.py:50 .test/src/skill_test/agent/executor.py:236 and 23 more
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Show all 2,291 signals by file

`.claude-plugin/DEPRECATED.md`

Network accessline 15

- Skills are now delivered through the Databricks CLI: `databricks aitools install`   (Databricks CLI v1.0.0+), backed by   [github.com/databricks/databricks-agent-skills](https://github.com/databricks/databricks-agent-skills).

Network accessline 16

(Databricks CLI v1.0.0+), backed by   [github.com/databricks/databricks-agent-skills](https://github.com/databricks/databricks-agent-skills).   The main installer (`install.sh` / `install.ps1`) already delegates to it.

Network accessline 17

[github.com/databricks/databricks-agent-skills](https://github.com/databricks/databricks-agent-skills).

Dangerous shell operationline 44

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh)

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bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh)

`.claude-plugin/check_update.sh`

Executable scriptline 1
```
#!/bin/bash
```

Network accessline 23

done CACHE_FILE="$HOME/.ai-dev-kit/.update-check" REMOTE_URL="https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/VERSION"

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CACHE_FILE="$HOME/.ai-dev-kit/.update-check" REMOTE_URL="https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/VERSION" CACHE_TTL=86400  # 24 hours

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REMOTE_URL="https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/VERSION"

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if [ -z "$remote_ver" ]; then     remote_ver=$(curl -fsSL --connect-timeout 3 --max-time 3 "$REMOTE_URL" 2>/dev/null || echo "")

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remote_ver=$(curl -fsSL --connect-timeout 3 --max-time 3 "$REMOTE_URL" 2>/dev/null || echo "")

Dangerous shell operationline 71

# it points at the README instead of shipping a curl|bash one-liner.

Network accessline 74

[ai-dev-kit] Update available: installed v${local_ver}, latest v${remote_ver}. Worth mentioning to the user near the start of your reply. For how to update, refer them to the "Update" section of the ai-dev-kit README: https://github.com/dat

Network accessline 75

to the user near the start of your reply. For how to update, refer them to the "Update" section of the ai-dev-kit README: https://github.com/databricks-solutions/ai-dev-kit#update EOF

Network accessline 76

of the ai-dev-kit README: https://github.com/databricks-solutions/ai-dev-kit#update

`.claude-plugin/plugin.json`

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"name": "Databricks Solutions"   },   "repository": "https://github.com/databricks-solutions/ai-dev-kit",

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},   "repository": "https://github.com/databricks-solutions/ai-dev-kit",   "homepage": "https://github.com/databricks-solutions/ai-dev-kit",

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"repository": "https://github.com/databricks-solutions/ai-dev-kit",

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"homepage": "https://github.com/databricks-solutions/ai-dev-kit",

`.claude-plugin/setup.sh`

Executable scriptline 1
```
#!/bin/bash
```

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# DEPRECATED: The databricks-ai-dev-kit Claude Code plugin is no longer # published (see .claude-plugin/DEPRECATED.md). Install skills via #   bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh

Network accessline 4

# published (see .claude-plugin/DEPRECATED.md). Install skills via #   bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh) # or `databricks aitools install`. This script is kept for reference a

Dangerous shell operationline 5

#   bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh)

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#   bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh)

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#   - Access your Databricks workspace (until you authenticate) # # Source: https://github.com/databricks-solutions/ai-dev-kit

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# # Source: https://github.com/databricks-solutions/ai-dev-kit # ============================================================

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# Source: https://github.com/databricks-solutions/ai-dev-kit

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if ! command -v uv &> /dev/null; then     echo "Error: 'uv' is required but not installed." >&2     echo "Install it with: curl -LsSf https://astral.sh/uv/install.sh | sh" >&2

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echo "Error: 'uv' is required but not installed." >&2     echo "Install it with: curl -LsSf https://astral.sh/uv/install.sh | sh" >&2     exit 1

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echo "Install it with: curl -LsSf https://astral.sh/uv/install.sh | sh" >&2

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echo "Install it with: curl -LsSf https://astral.sh/uv/install.sh | sh" >&2

`.test/README.md`

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Evaluate and optimize SKILL.md files using [GEPA](https://github.com/gepa-ai/gepa) and MLflow judges. Skills teach AI agents how to use Databricks features — this framework measures whether they actually help and uses evolutionary optimizat

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Agent evaluation runs a real Claude Code instance via the [Claude Agent SDK](https://github.com/anthropics/claude-agent-sdk-python). The agent's environment is configured in `.test/claude_agent_settings.json`:

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Proxy evaluator models use [litellm provider prefixes](https://docs.litellm.ai/docs/providers): `databricks/`, `openai/`, `anthropic/`.

`.test/TECHNICAL.md`

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[GEPA](https://github.com/gepa-ai/gepa) (Generalized Evolutionary Prompt Architect) treats the SKILL.md as a text artifact to optimize. Its `optimize_anything` API takes a seed candidate, an evaluator function, and a dataset.

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Built with [MLflow's `make_judge`](https://mlflow.org/docs/latest/genai/eval-monitor/scorers/llm-judge/custom-judges/) (`judges.py`). Three focused field-based judges evaluate independent dimensions, each making exactly 1 LLM call:

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**Why binary over categorical?** Binary `Literal["yes", "no"]` verdicts produce more reliable, consistent judgments than categorical (`excellent/acceptable/poor`) or continuous 0.0–1.0 scales. Two domain experts are more likely to agree on

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Judges can adaptively load domain-specific rubrics during scoring. Evaluation criteria are packaged as SKILL.md files in `.test/eval-criteria/` — the same format used by agent skills. This implements the `Skill`/`SkillSet` data model from t

`.test/eval-criteria/tool-selection/SKILL.md`

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The following patterns indicate incorrect tool selection: - `Bash('databricks ...')` when an MCP tool exists - `Bash('curl ...')` for Databricks REST APIs when MCP tools cover it

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- `Bash('databricks ...')` when an MCP tool exists - `Bash('curl ...')` for Databricks REST APIs when MCP tools cover it - `Bash('python -c ...')` for operations that have dedicated tools

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- `Bash('curl ...')` for Databricks REST APIs when MCP tools cover it

`.test/install_skill_test.sh`

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"    \"# GEPA Skill Optimization Demo\\n\",\n",     "    \"\\n\",\n",     "    \"This notebook demonstrates how the skill-test framework uses [GEPA](https://github.com/gepa-ai/gepa) to automatically optimize Databricks SKILL.md files for **

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"    \"\\n\",\n",     "    \"This notebook demonstrates how the skill-test framework uses [GEPA](https://github.com/gepa-ai/gepa) to automatically optimize Databricks SKILL.md files for **quality** and **token efficiency**.\\n\",\n",     "

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"    \"This notebook demonstrates how the skill-test framework uses [GEPA](https://github.com/gepa-ai/gepa) to automatically optimize Databricks SKILL.md files for **quality** and **token efficiency**.\\n\",\n",

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`.test/references/trace-eval.md`

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# 1. Set Databricks authentication export DATABRICKS_HOST="https://your-workspace.cloud.databricks.com"

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export DATABRICKS_HOST="https://your-workspace.cloud.databricks.com"

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# Default to agent eval (hybrid) unless --proxy is set

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`.test/skills/databricks-apps-python/ground_truth.yaml`

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headers["Content-Type"] = "application/json"             endpoint = os.getenv("SERVING_ENDPOINT_NAME")             resp = requests.post(

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endpoint = os.getenv("SERVING_ENDPOINT_NAME")             resp = requests.post(                 f"https://{cfg.host}/serving-endpoints/{endpoint}/invocations",

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```
resp = requests.post(
```

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f"https://{cfg.host}/serving-endpoints/{endpoint}/invocations",

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`.test/skills/databricks-bundles/ground_truth.yaml`

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`.test/skills/databricks-config/ground_truth.yaml`

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```       [DEFAULT]       host       = https://adb-123456789.11.azuredatabricks.net/

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[DEFAULT]       host       = https://adb-123456789.11.azuredatabricks.net/       cluster_id = 1217-064531-c9c3ngyn

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host       = https://adb-123456789.11.azuredatabricks.net/

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```       [DEFAULT]       host                  = https://adb-123456789.11.azuredatabricks.net/

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[DEFAULT]       host                  = https://adb-123456789.11.azuredatabricks.net/       serverless_compute_id = auto

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host                  = https://adb-123456789.11.azuredatabricks.net/

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- id: databricks-config_workspace_url_003   inputs:     prompt: Configure Databricks profile using workspace URL https://adb-1234567890123456.7.azuredatabricks.net/

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inputs:     prompt: Configure Databricks profile using workspace URL https://adb-1234567890123456.7.azuredatabricks.net/   outputs:

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prompt: Configure Databricks profile using workspace URL https://adb-1234567890123456.7.azuredatabricks.net/

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```bash       databricks auth login -p adb-1234567890123456 --host https://adb-1234567890123456.7.azuredatabricks.net/

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databricks auth login -p adb-1234567890123456 --host https://adb-1234567890123456.7.azuredatabricks.net/

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```       [DEFAULT]       host       = https://adb-123456789.11.azuredatabricks.net/

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[DEFAULT]       host       = https://adb-123456789.11.azuredatabricks.net/       cluster_id = 0123-456789-abcdef12

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host       = https://adb-123456789.11.azuredatabricks.net/

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```       [DEFAULT]       host       = https://adb-123456789.11.azuredatabricks.net/

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host       = https://adb-123456789.11.azuredatabricks.net/

`.test/skills/databricks-docs/ground_truth.yaml`

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outputs:     response: |       Use the Databricks documentation index at `https://docs.databricks.com/llms.txt`.

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Use the Databricks documentation index at `https://docs.databricks.com/llms.txt`.

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URL: `https://docs.databricks.com/llms.txt`

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1. Fetch `https://docs.databricks.com/llms.txt` to find relevant documentation

`.test/skills/databricks-lakebase-provisioned/ground_truth.yaml`

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`.test/skills/databricks-python-sdk/ground_truth.yaml`

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# Explicit token authentication       w = WorkspaceClient(           host="https://your-workspace.cloud.databricks.com",

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host="https://your-workspace.cloud.databricks.com",

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# Azure Service Principal       w = WorkspaceClient(           host="https://adb-xxx.azuredatabricks.net",

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w = WorkspaceClient(           host="https://adb-xxx.azuredatabricks.net",           azure_workspace_resource_id="/subscriptions/.../resourceGroups/.../providers/Microsoft.Databricks/workspaces/...",

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host="https://adb-xxx.azuredatabricks.net",

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`.test/skills/databricks-synthetic-data-gen/expected_responses/gen_serverless_job_catalog_json_002.txt`

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`.test/skills/databricks-synthetic-data-gen/ground_truth.yaml`

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`.test/skills/databricks-zerobus-ingest/ground_truth.yaml`

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\ can auto-generate the `.proto` directly from the Unity Catalog schema instead\       \ of writing it by hand:\n\n```bash\npython -m zerobus.tools.generate_proto\       \ \\\n    --uc-endpoint \"https://dbc-a1b2c3d4-e5f6.cloud.databricks.c

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\ of writing it by hand:\n\n```bash\npython -m zerobus.tools.generate_proto\       \ \\\n    --uc-endpoint \"https://dbc-a1b2c3d4-e5f6.cloud.databricks.com\" \\\       \n    --client-id \"$DATABRICKS_CLIENT_ID\" \\\n    --client-secret \"$D

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\ \\\n    --uc-endpoint \"https://dbc-a1b2c3d4-e5f6.cloud.databricks.com\" \\\

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`.test/src/skill_test/init.py`

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`.test/src/skill_test/agent/init.py`

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`.test/src/skill_test/cli/init.py`

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`.test/src/skill_test/dataset.py`

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`.test/src/skill_test/grp/init.py`

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`.test/src/skill_test/grp/diagnosis.py`

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`.test/src/skill_test/grp/pipeline.py`

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`.test/src/skill_test/grp/reviewer.py`

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`.test/src/skill_test/optimize/init.py`

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`.test/src/skill_test/optimize/agent_evaluator.py`

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`.test/src/skill_test/optimize/alignment.py`

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`.test/src/skill_test/optimize/asi.py`

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`.test/src/skill_test/optimize/assertions.py`

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`.test/src/skill_test/optimize/assessment_fetcher.py`

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`.test/src/skill_test/optimize/eval_criteria.py`

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AI Gateway support:     Set ``DATABRICKS_AI_GATEWAY_URL`` to route calls through Databricks AI Gateway.     Example: https://1444828305810485.ai-gateway.cloud.databricks.com/mlflow/v1

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Set ``DATABRICKS_AI_GATEWAY_URL`` to route calls through Databricks AI Gateway.     Example: https://1444828305810485.ai-gateway.cloud.databricks.com/mlflow/v1     Works alongside the standard serving endpoint approach.

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Example: https://1444828305810485.ai-gateway.cloud.databricks.com/mlflow/v1

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`.test/src/skill_test/optimize/review.py`

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`.test/src/skill_test/optimize/skillbench_evaluator.py`

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`.test/src/skill_test/optimize/splitter.py`

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```

`.test/src/skill_test/trace/models.py`

Executable scriptline 1
```
Executable file
```

`.test/src/skill_test/trace/parser.py`

Executable scriptline 1
```
Executable file
```

`.test/src/skill_test/trace/source.py`

Executable scriptline 1
```
Executable file
```

Network accessline 259

1. Set Databricks authentication:    export DATABRICKS_HOST="https://your-workspace.cloud.databricks.com"

Network accessline 260

export DATABRICKS_HOST="https://your-workspace.cloud.databricks.com"

Access to secretsline 261
```
[Credential-related source omitted]
```

`.test/tests/init.py`

Executable scriptline 1
```
Executable file
```

`.test/tests/integration/init.py`

Executable scriptline 1
```
Executable file
```

`.test/tests/integration/conftest.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 19
```
[Credential-related source omitted]
```
Access to secretsline 21
```
[Credential-related source omitted]
```

`.test/tests/integration/test_review_workflow.py`

Executable scriptline 1
```
Executable file
```

`.test/tests/integration/test_scripts.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 336
```
[Credential-related source omitted]
```
Access to secretsline 338
```
[Credential-related source omitted]
```
Access to secretsline 361
```
[Credential-related source omitted]
```

`.test/tests/integration/test_trace_eval.py`

Executable scriptline 1
```
Executable file
```

`.test/tests/integration/test_trace_source.py`

Executable scriptline 1
```
Executable file
```

`.test/tests/test_cli.py`

Executable scriptline 1
```
Executable file
```

`.test/tests/test_install_aitools_agents.py`

Executable scriptline 1
```
Executable file
```

`.test/tests/test_optimize_e2e.py`

Executable scriptline 1
```
Executable file
```

`.test/tests/test_scorers.py`

Executable scriptline 1
```
Executable file
```

`.test/trace-integration-plan.md`

Dangerous shell operationline 81

| `banned_tools` | `banned_tools: [rm -rf]` | Ensure dangerous tools avoided |

Dangerous shell operationline 195
```
- "rm -rf"
```

Network accessline 386

- [MLflow Tracing Claude Code - Databricks](https://docs.databricks.com/aws/en/mlflow3/genai/tracing/integrations/claude-code)

Network accessline 387

- [MLflow autolog claude - MLflow Docs](https://mlflow.org/docs/latest/genai/tracing/integrations/listing/claude_code/)

Network accessline 388

- [OpenAI Eval Skills Blog](https://developers.openai.com/blog/eval-skills/)

`.test/uv.lock`

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name = "aiohappyeyeballs" version = "2.6.1" source = { registry = "https://pypi.org/simple" }

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Network accessline 1992

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Network accessline 1995

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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.

Combined signals: 1 fact

Passes content downloaded from raw.githubusercontent.com to an interpreter.claude-plugin/DEPRECATED.md:44High confidence

Declared and executed: 6 facts

Contacts raw.githubusercontent.com, which SKILL.md, the README and the plugin manifest do not mention.claude-plugin/DEPRECATED.md:44High confidence
Contacts raw.githubusercontent.com, which SKILL.md, the README and the plugin manifest do not mention.claude-plugin/check_update.sh:25High confidence
Contacts github.com, which SKILL.md, the README and the plugin manifest do not mention.claude-plugin/check_update.sh:76High confidence
Contacts astral.sh, which SKILL.md, the README and the plugin manifest do not mention.claude-plugin/setup.sh:48High confidence
Contacts github.com, which SKILL.md, the README and the plugin manifest do not mention.test/notebooks/gepa_skill_optimization_demo.ipynb:15High confidence
Contacts your-workspace.cloud.databricks.com, which SKILL.md, the README and the plugin manifest do not mention.test/src/skill_test/trace/source.py:260High confidence

Signal confidence: 221 facts

Network access in prose of the plugin configuration.claude-plugin/DEPRECATED.md:15Low confidence
Network access in prose of the plugin configuration.claude-plugin/DEPRECATED.md:16Low confidence
Network access in prose of the plugin configuration.claude-plugin/DEPRECATED.md:17Low confidence
Dangerous shell operation in code of the plugin configuration.claude-plugin/DEPRECATED.md:44High confidence
Network access in code of the plugin configuration.claude-plugin/DEPRECATED.md:44High confidence
Executable script in code of a file that runs.claude-plugin/check_update.sh:1High confidence
Network access in code of a file that runs.claude-plugin/check_update.sh:23High confidence
Network access in code of a file that runs.claude-plugin/check_update.sh:24High confidence
Network access in code of a file that runs.claude-plugin/check_update.sh:25High confidence
Network access in code of a file that runs.claude-plugin/check_update.sh:45High confidence
Network access in code of a file that runs.claude-plugin/check_update.sh:46High confidence
Dangerous shell operation in a comment of a file that runs.claude-plugin/check_update.sh:71Low confidence
Network access in code of a file that runs.claude-plugin/check_update.sh:74High confidence
Network access in code of a file that runs.claude-plugin/check_update.sh:75High confidence
Network access in code of a file that runs.claude-plugin/check_update.sh:76High confidence
Executable script in code of a file that runs.claude-plugin/setup.sh:1High confidence
Network access in a comment of a file that runs.claude-plugin/setup.sh:3Low confidence
Network access in a comment of a file that runs.claude-plugin/setup.sh:4Low confidence
Dangerous shell operation in a comment of a file that runs.claude-plugin/setup.sh:5Low confidence
Network access in a comment of a file that runs.claude-plugin/setup.sh:5Low confidence
Network access in a comment of a file that runs.claude-plugin/setup.sh:24Low confidence
Network access in a comment of a file that runs.claude-plugin/setup.sh:25Low confidence
Network access in a comment of a file that runs.claude-plugin/setup.sh:26Low confidence
Network access in code of a file that runs.claude-plugin/setup.sh:46High confidence
Network access in code of a file that runs.claude-plugin/setup.sh:47High confidence
Dangerous shell operation in code of a file that runs.claude-plugin/setup.sh:48High confidence
Network access in code of a file that runs.claude-plugin/setup.sh:48High confidence
Network access in prose of documentation.test/README.md:3Low confidence
Access to secrets in code of documentation.test/README.md:28Low confidence
Access to secrets in code of documentation.test/README.md:30Low confidence
Access to secrets in code of documentation: a variable, placeholder or call, not a stored value.test/README.md:31Low confidence
Access to secrets in code of documentation.test/README.md:37Low confidence
Access to secrets in code of documentation.test/README.md:44Low confidence
Network access in prose of documentation.test/README.md:51Low confidence
Access to secrets in code of documentation: a variable, placeholder or call, not a stored value.test/README.md:58Low confidence
Access to secrets in code of documentation: a variable, placeholder or call, not a stored value.test/README.md:65Low confidence
Access to secrets in prose of documentation: a variable, placeholder or call, not a stored value.test/README.md:74Low confidence
Access to secrets in prose of documentation.test/README.md:77Low confidence
Network access in prose of documentation.test/README.md:192Low confidence
Network access in prose of documentation.test/TECHNICAL.md:192Low confidence
Network access in prose of documentation.test/TECHNICAL.md:335Low confidence
Network access in prose of documentation.test/TECHNICAL.md:346Low confidence
Network access in prose of documentation.test/TECHNICAL.md:384Low confidence
Network access in prose of the SKILL.mdtool-selection/SKILL.md:32Low confidence
Network access in prose of the SKILL.mdtool-selection/SKILL.md:33Low confidence
Network access in prose of the SKILL.mdtool-selection/SKILL.md:34Low confidence
Executable script in code of a test.test/install_skill_test.sh:1Low confidence
Executable script in code of a file that runs.test/notebooks/gepa_skill_optimization_demo.ipynb:1High confidence
Network access in code of a file that runs.test/notebooks/gepa_skill_optimization_demo.ipynb:13High confidence
Network access in code of a file that runs.test/notebooks/gepa_skill_optimization_demo.ipynb:14High confidence

and 171 more

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 .test/SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md .test/SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md .test/SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md .test/SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md .test/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.

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Before you install

.claude-plugin/DEPRECATED.md

.claude-plugin/check_update.sh

.claude-plugin/plugin.json

.claude-plugin/setup.sh

.test/README.md

.test/TECHNICAL.md

.test/eval-criteria/tool-selection/SKILL.md

.test/install_skill_test.sh

.test/notebooks/gepa_skill_optimization_demo.ipynb

.test/references/trace-eval.md

.test/scripts/_common.py

.test/scripts/add.py

.test/scripts/add_example.py

.test/scripts/baseline.py

.test/scripts/generate_examples.py

.test/scripts/generate_ground_truth.py

.test/scripts/init_skill.py

.test/scripts/list_traces.py

.test/scripts/mlflow_eval.py

.test/scripts/optimize.py

.test/scripts/regression.py

.test/scripts/review.py

.test/scripts/routing_eval.py

.test/scripts/run_app_eval.py

.test/scripts/run_eval.py

.test/scripts/scorers.py

.test/scripts/scorers_update.py

.test/scripts/sync.py

.test/scripts/trace_eval.py

.test/scripts/trace_to_examples.py

.test/skills/databricks-apps-python/ground_truth.yaml

.test/skills/databricks-bundles/ground_truth.yaml

.test/skills/databricks-config/ground_truth.yaml

.test/skills/databricks-docs/ground_truth.yaml

.test/skills/databricks-lakebase-provisioned/ground_truth.yaml

.test/skills/databricks-python-sdk/ground_truth.yaml

.test/skills/databricks-synthetic-data-gen/expected_responses/gen_serverless_job_catalog_json_002.txt

.test/skills/databricks-synthetic-data-gen/expected_responses/grp_20260302_retail_csv_3tables_003.txt

.test/skills/databricks-synthetic-data-gen/ground_truth.yaml

.test/skills/databricks-zerobus-ingest/ground_truth.yaml

`.test/SKILL.md`

`.test/eval-criteria/general-quality/SKILL.md`

`.test/eval-criteria/sql-correctness/SKILL.md`

`.test/eval-criteria/tool-selection/SKILL.md`

`.claude-plugin/DEPRECATED.md`

`.claude-plugin/check_update.sh`

`.claude-plugin/plugin.json`

`.claude-plugin/setup.sh`

`.test/README.md`

`.test/TECHNICAL.md`

`.test/eval-criteria/tool-selection/SKILL.md`

`.test/install_skill_test.sh`

`.test/notebooks/gepa_skill_optimization_demo.ipynb`

`.test/references/trace-eval.md`

`.test/scripts/_common.py`

`.test/scripts/add.py`

`.test/scripts/add_example.py`

`.test/scripts/baseline.py`

`.test/scripts/generate_examples.py`

`.test/scripts/generate_ground_truth.py`

`.test/scripts/init_skill.py`

`.test/scripts/list_traces.py`

`.test/scripts/mlflow_eval.py`

`.test/scripts/optimize.py`

`.test/scripts/regression.py`

`.test/scripts/review.py`

`.test/scripts/routing_eval.py`

`.test/scripts/run_app_eval.py`

`.test/scripts/run_eval.py`

`.test/scripts/scorers.py`

`.test/scripts/scorers_update.py`

`.test/scripts/sync.py`

`.test/scripts/trace_eval.py`

`.test/scripts/trace_to_examples.py`

`.test/skills/databricks-apps-python/ground_truth.yaml`

`.test/skills/databricks-bundles/ground_truth.yaml`

`.test/skills/databricks-config/ground_truth.yaml`

`.test/skills/databricks-docs/ground_truth.yaml`

`.test/skills/databricks-lakebase-provisioned/ground_truth.yaml`

`.test/skills/databricks-python-sdk/ground_truth.yaml`

`.test/skills/databricks-synthetic-data-gen/expected_responses/gen_serverless_job_catalog_json_002.txt`

`.test/skills/databricks-synthetic-data-gen/expected_responses/grp_20260302_retail_csv_3tables_003.txt`

`.test/skills/databricks-synthetic-data-gen/ground_truth.yaml`

`.test/skills/databricks-zerobus-ingest/ground_truth.yaml`

`.test/src/skill_test/init.py`

`.test/src/skill_test/agent/init.py`

`.test/src/skill_test/agent/executor.py`

`.test/src/skill_test/cli/init.py`

`.test/src/skill_test/cli/commands.py`

`.test/src/skill_test/config.py`

`.test/src/skill_test/dataset.py`

`.test/src/skill_test/fixtures/init.py`

`.test/src/skill_test/fixtures/setup.py`

`.test/src/skill_test/grp/init.py`

`.test/src/skill_test/grp/diagnosis.py`

`.test/src/skill_test/grp/executor.py`

`.test/src/skill_test/grp/pipeline.py`

`.test/src/skill_test/grp/reviewer.py`

`.test/src/skill_test/optimize/init.py`

`.test/src/skill_test/optimize/agent_evaluator.py`

`.test/src/skill_test/optimize/alignment.py`

`.test/src/skill_test/optimize/asi.py`

`.test/src/skill_test/optimize/assertions.py`

`.test/src/skill_test/optimize/assessment_fetcher.py`

`.test/src/skill_test/optimize/config.py`

`.test/src/skill_test/optimize/eval_criteria.py`

`.test/src/skill_test/optimize/judge_tools.py`

`.test/src/skill_test/optimize/judges.py`

`.test/src/skill_test/optimize/review.py`

`.test/src/skill_test/optimize/runner.py`

`.test/src/skill_test/optimize/skillbench_evaluator.py`

`.test/src/skill_test/optimize/splitter.py`

`.test/src/skill_test/optimize/tools.py`

`.test/src/skill_test/optimize/utils.py`

`.test/src/skill_test/runners/init.py`

`.test/src/skill_test/runners/compare.py`

`.test/src/skill_test/runners/evaluate.py`

`.test/src/skill_test/scorers/init.py`

`.test/src/skill_test/scorers/dynamic.py`

`.test/src/skill_test/scorers/routing.py`