agent-self-review
agent-self-review is a Plan & work review gates skill for AI agents, published by synthesisengineering in the ragbot repository on GitHub. Skillspace rates agent-self-review C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Score the agent's previous turn against an explicit rubric covering groundedness, completeness, safety, and format. Surface failures the agent can fix before the user has to flag them. Use when asked to: self review, audit your response, check your previous answer, score this turn, was that grounded, did you cover everything, post-response review.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 33
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks like a template or a stub that was never filled in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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 0 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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