autoresearch SKILL.md skillA
autoresearch from adriannoes/awesome-agentic-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add adriannoes/awesome-agentic-ai/autoresearch@git:20260926.71e9bd2Pins git:20260926.71e9bd2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- adriannoes/awesome-agentic-ai
- Path
cursor-claude-codex/skills/autoresearch/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260926.71e9bd2, committed Sep 26, 2026
- First version recorded
- Jun 11, 2026
- Size
- 17,051 bytes
- Repository stars
- 69
- License
- MIT
Autonomously optimize any Claude Code skill by running it repeatedly, scoring outputs against binary evals, mutating the prompt, and keeping improvements. Based on Karpathy's autoresearch methodology. Use when: optimize this skill, improve this skill, run autoresearch on, make this skill better, self-improve skill, benchmark skill, eval my skill, run evals on. Outputs: an improved SKILL.md, a results log, and a changelog of every mutation tried.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Autoresearch for Skills Most skills work about 70% of the time. The other 30% you get garbage. The fix isn't to rewrite the skill from scratch. It's to let an agent run it dozens of times, score every output, and tighten the prompt until that 30% disappears. This skill adapts Andrej Karpathy's autoresearch methodology (autonomous experimentation loops) to Claude Code skills. Instead of optimizing ML training code, we optimize skill prompts. --- ## the core job Take any existing skill, define what "good output" looks like as binary yes/no checks, then run an autonomous loop that: 1. Generates outputs from the skill using test inputs 2. Scores every output against the eval criteria 3. Mutates the skill prompt to fix failures 4. Keeps mutations that improve the score, discards the rest 5. Repeats until the score ceiling is hit or the user stops it **Output:** An improved SKILL.md + `results.tsv` log + `changelog.md` of every mutation attempted + a live HTML dashboard you can watch in your browser. --- ## before starting: gather context **STOP. Do not run any experiments until all fields below are confirmed with the user. Ask for any missing fields before proceeding.** …
Read the whole file at its exact version.
How to install
mdr add adriannoes/awesome-agentic-ai/autoresearch@sha256:522819a247a51eb1The line at the top of this page pins the label git:20260926.71e9bd2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_yquhoe24kflrnese)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 11, 2026 and Sep 26, 2026, about one every 108 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260926.71e9bd2 latest | 2026-09-26 | 71e9bd2 | 17,051 B | A | view · diff |
| git:20260611.bc2fd87 | 2026-06-11 | bc2fd87 | 15,840 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17051 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
adriannoes/awesome-agentic-ai · 69 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_yquhoe24kflrnese GET https://markdownregistry.com/api/v1/resolve?ref=adriannoes/awesome-agentic-ai/autoresearch GET https://markdownregistry.com/api/v1/blob/522819a247a51eb1bacb765c293cd556c1401bfae9790ac6a1639d72b503de70
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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