meta-harness
meta-harness is a Session review & learning skill for AI agents, published by unicity-aos in the aos-ce repository on GitHub. Skillspace rates meta-harness D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Proactively improve an agent's user-space world on Unicity AOS. Use when work reveals a missing capability, recurring friction, useful memory or skill, context or harness improvement, platform integration, or an opportunity to learn from traces; decide whether to reuse, compose, configure, remember, create, or build with Forge now or for future work.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 8,461
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
- Not declared. Check the repository before reusing it.
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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