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Muminur/autoresearch-skill-Andrej-Karpathy

Claude Code skill for autonomous, goal-directed iteration. /autoresearch <goal> builds a real-data benchmark harness, captures a baseline, and iterates with a regression gate until the goal is hit. Inspired by Andrej Karpathy's autoresearch.

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Individual skills in this repository

How it works

autoresearch

When your agent uses it

Autonomous Goal-directed Iteration. Apply Karpathy's autoresearch principles to ANY task. Loops autonomously — modify, verify, keep/discard, repeat. Supports optional loop count via Claude Code's /loop command. Invoking /autoresearch <free-form goal> builds a real-data benchmark harness, captures a baseline, and iterates with a regression gate until the goal is hit.

What it loads into context

Frontmatter

93 tokens

Always available to the agent

SKILL.md

3,455 tokens

When the skill is activated

Reference documents

20,104 tokens

Loaded on request

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

The playbook

  1. Subcommands
  2. When to Activate
  3. Optional: Controlled Loop Count
  4. Setup Phase (Do Once)
  5. The Loop
  6. Critical Rules
  7. Principles Reference
  8. Adapting to Different Domains

Files

  • .gitignoreasset789 bytes
  • LICENSEasset1,064 bytes
  • README.mddoc17,945 bytes
  • SKILL.mdcore14,452 bytes
  • SKILL.mdcore14,452 bytes
  • SKILL.mdcore14,452 bytes
  • SKILL.mdcore14,452 bytes
  • SKILL.mdcore14,452 bytes
  • SKILL.mdcore14,452 bytes
  • SKILL.mdcore14,452 bytes
  • SKILL.mdcore14,452 bytes
  • references/autonomous-loop-protocol.mddoc5,585 bytes
  • references/benchmark-harness.mddoc7,694 bytes
  • references/core-principles.mddoc3,911 bytes
  • references/plan-workflow.mddoc8,133 bytes
  • references/results-logging.mddoc2,168 bytes
  • references/security-workflow.mddoc35,472 bytes
Read SKILL.md

# Claude Autoresearch — Autonomous Goal-directed Iteration

Inspired by [Karpathy's autoresearch](https://github.com/karpathy/autoresearch). Applies constraint-driven autonomous iteration to ANY work — not just ML research.

**Core idea:** You are an autonomous agent. Modify → Verify → Keep/Discard → Repeat.

## Subcommands

| Subcommand | Purpose |
|------------|---------|
| `/autoresearch <goal>` | **Default path** — parse free-form goal, build harness, capture baseline, loop until goal met |
| `/autoresearch` | Run the autonomous loop (default) |
| `/autoresearch:plan` | Interactive wizard to build Scope, Metric, Direction & Verify from a Goal |
| `/autoresearch:security` | Autonomous security audit: STRIDE threat model + OWASP Top 10 + red-team (4 adversarial personas) |
View the complete source on GitHub

Skills included

  • autoresearch

Repository facts

License
MIT
Created
Apr 19, 2026
Last pushed
Apr 19, 2026
Forks
2
Open issues
0
Project activity
Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 7, 2026

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

Show 7 notes
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
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Show all 34 signals by file

.gitignore

  • Access to secretsline 23
    [Credential-related source omitted]

README.md

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    *Inspired by [Andrej Karpathy's autoresearch](https://github.com/karpathy/autoresearch) — extended into a universal, real-data benchmark-driven workflow for any engineering task.*
  • Network accessline 9
    [![Version](https://img.shields.io/badge/version-1.0.4-blue.svg)](./SKILL.md)
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    [![Claude Code](https://img.shields.io/badge/Claude%20Code-v1.0.32%2B-8A2BE2.svg)](https://docs.claude.com/en/docs/claude-code)
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    [![License](https://img.shields.io/badge/license-MIT-green.svg)](./LICENSE)
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    [![Karpathy](https://img.shields.io/badge/inspired%20by-karpathy-FF6F00.svg)](https://github.com/karpathy/autoresearch)
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    [![Status](https://img.shields.io/badge/status-production--ready-brightgreen.svg)](#)
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    # Clone into your Claude Code skills directory git clone https://github.com/Muminur/autoresearch-skill-Andrej-Karpathy.git \
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    git clone https://github.com/Muminur/autoresearch-skill-Andrej-Karpathy.git \
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    git clone https://github.com/Muminur/autoresearch-skill-Andrej-Karpathy.git `
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    git clone https://github.com/Muminur/autoresearch-skill-Andrej-Karpathy.git ~/autoresearch-skill
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    [Codex CLI](https://github.com/openai/codex) loads custom prompts from `~/.codex/prompts/`.
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    [OpenCode](https://github.com/sst/opencode) keeps custom commands at `~/.config/opencode/command/`.
  • Network accessline 267
    For [Continue](https://continue.dev):
  • Network accessline 516
    - **[Andrej Karpathy](https://github.com/karpathy/autoresearch)** — for the original autoresearch pattern: *single file, single metric, iterate*.
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    - **[Strix](https://github.com/usestrix/strix)** — adversarial AI security testing with PoC validation (inspiration for `/autoresearch:security`).
  • Network accessline 537
    [Report an issue](https://github.com/Muminur/autoresearch-skill-Andrej-Karpathy/issues) · [Open a PR](https://github.com/Muminur/autoresearch-skill-Andrej-Karpathy/pulls)

SKILL.md

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    Inspired by [Karpathy's autoresearch](https://github.com/karpathy/autoresearch). Applies constraint-driven autonomous iteration to ANY work — not just ML research.
  • Network accessline 117
    **Inspired by:** - [Strix](https://github.com/usestrix/strix) — AI-powered security testing with proof-of-concept validation
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    - [Strix](https://github.com/usestrix/strix) — AI-powered security testing with proof-of-concept validation

references/benchmark-harness.md

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    1. Identify the corpus source from the goal (logs, exports, fixtures, API, scraped pages). 2. If a corpus directory already exists under `autoresearch/data/`, use it. 3. If not, SCRAPE it (Playwright / curl / `tail` on prod logs / database 
  • Network accessline 23
    2. If a corpus directory already exists under `autoresearch/data/`, use it. 3. If not, SCRAPE it (Playwright / curl / `tail` on prod logs / database export) into `autoresearch/data/<name>.jsonl` — one real case per line. 4. **NEVER synthesi
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    3. If not, SCRAPE it (Playwright / curl / `tail` on prod logs / database export) into `autoresearch/data/<name>.jsonl` — one real case per line.

references/security-workflow.md

  • Access to secretsline 358
    [Credential-related source omitted]
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    # Test for missing rate limiting for i in {1..100}; do curl -s -o /dev/null -w "%{http_code}" https://app/api/login; done
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    for i in {1..100}; do curl -s -o /dev/null -w "%{http_code}" https://app/api/login; done
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    # Test for XSS curl https://app/search?q=%3Cscript%3Ealert(1)%3C/script%3E
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    curl https://app/search?q=%3Cscript%3Ealert(1)%3C/script%3E
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    - name: Install Autoresearch Skill         run: |           git clone https://github.com/uditgoenka/autoresearch.git /tmp/autoresearch
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    run: |           git clone https://github.com/uditgoenka/autoresearch.git /tmp/autoresearch           cp -r /tmp/autoresearch/skills/autoresearch .claude/skills/autoresearch
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    git clone https://github.com/uditgoenka/autoresearch.git /tmp/autoresearch
  • Access to secretsline 677
    [Credential-related source omitted]

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: 33 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard 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.