autoresearch skillA
autoresearch is agent-read markdown (skill) from naveedharri/benai-skills: Autonomous goal-directed iteration loop that continuously improves prompts, templates, configs, or code. Two evaluation modes — deterministic (eval.py with proxy heuristics) or AI judge (LLM rubric scoring). Uses four-way separation in both modes. Inspired by Karpathy's autoresearch..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# AutoResearch — Autonomous Optimization Loop USE WHEN the user runs `/autoresearch`, says "autoresearch", "optimize this prompt", "improve this overnight", "run an optimization loop", "iterate on this", "auto-improve", or wants to autonomously refine a file against measurable criteria. --- ## Architecture: Separation of Roles This skill supports two mutually exclusive evaluation modes. Both maintain four-way separation. ### Deterministic Mode (default) — Four-Way Separation | Role | Who | Knows Eval Code? | Knows Prompt History? | |------|-----|-----------------|----------------------| | **Main Agent** | You (optimizer) | **NO** — reads metric number only | Yes — reads logs, plans changes | | **Eval Agent** | `autoresearch-eval-agent` sub-agent | Yes — writes eval.py | No | | **Test Runner** | `autoresearch-test-runner` sub-agent | **NO** — fresh context | **NO** | | **Judge Script** | `eval.py` (deterministic Python) | IS the eval | No | Metric: `pass_rate`. Best for tasks with clear, mechanical quality checks (word count, format, keywords, structure). ### AI Judge Mode (opt-in) — Four-Way Separation | Role | Who | Knows Rubric? | Knows Prompt History? | …
Read the whole file at its exact version.
How to install
mdr add naveedharri/benai-skills/autoresearch@git:20260916.a3b1e15mdr add naveedharri/benai-skills/autoresearch@sha256:6722f11a72301365Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_qsu3sjl3idkl5v66)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260916.a3b1e15 latest | 2026-09-16 | a3b1e15 | 22,432 B | A | view · diff |
| git:20260407.4ef8f01 | 2026-04-07 | 4ef8f01 | 22,401 B | A | view · diff |
| git:20260402.1995542 | 2026-04-02 | 1995542 | 19,671 B | A | view · diff |
| git:20260402.848e70e | 2026-04-02 | 848e70e | 19,011 B | A | view · diff |
| git:20260401.c80bab1 | 2026-04-01 | c80bab1 | 13,896 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 (22432 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
naveedharri/benai-skills · 65 stars · license MIT · pushed 2026-09-16 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_qsu3sjl3idkl5v66 GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/autoresearch GET https://markdownregistry.com/api/v1/blob/6722f11a72301365a36997ab879f1cbe60aefec668167fef7756f69750eddb98
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