autoresearch
autoresearch is a Model training & evaluation skill for AI agents, published by companion-inc in the feynman repository on GitHub. Skillspace rates autoresearch D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Bounded research experiment loop that tries hypotheses, measures benchmark evidence, keeps what works, and records what fails. Use when the user asks to optimize a research metric, run an experiment loop, improve model/retrieval/evaluation performance iteratively, or benchmark a research hypothesis.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 8,301
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic hypothesis-benchmark experiment loop; falls back to plain shell
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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