agent-self-evaluation
agent-self-evaluation is an Agent behaviour & coding discipline skill for AI agents, published by affaan-m in the ECC repository on GitHub. Skillspace rates agent-self-evaluation D (65/100) and it passed the safety scan; a judge model has also reviewed it.
Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 255,679
Placed #3 of 6 in the judged category final for Agent behaviour & coding discipline.
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for Agent behaviour & coding discipline.
- Trigger
82 82 - Instructions
85 85 - Specificity
85 85 - Safety
85 85 - Disclosure
80 80 - Maintenance
76 76
A disciplined 5-axis self-rating rubric with an evidence requirement and fully worked good/weak examples.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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