autoresearch
autoresearch is an Execution & autonomous loops skill for AI agents, published by Exponential-View-co in the autoresearch-autobeta repository on GitHub. Skillspace rates autoresearch D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Autonomous iterative improvement loop for any writing or thinking task: thesis frames, book titles, essay angles, product positioning, and strategy arguments. Give a problem statement, the agent designs the oracle (scoring dimensions plus judge panel), shows it for approval, then iterates one change at a time until convergence. Based on Karpathy's autoresearch pattern applied to ideas. Trigger phrases: "/autoresearch", "run an autoresearch loop on", "iterate on this using autoresearch", and "use the autoresearch skill".
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 48
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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