autoresearch
autoresearch is an Execution & autonomous loops skill for AI agents, published by grandamenium in the cortextos repository on GitHub. Skillspace rates autoresearch D (65/100) and it passed the safety scan; the rating is based on static analysis only.
The analyst has assigned you a research cycle, or you have identified a metric you want to improve through systematic experimentation. You will form a hypothesis, make a targeted change, measure the outcome against a baseline, and decide whether to keep or discard the change. You repeat this loop until the metric improves or you exhaust viable hypotheses. This is not ad-hoc research — it is structured scientific iteration with a defined metric, a hypothesis, and a measurable result.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 78
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked 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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