agent-introspection-debugging
agent-introspection-debugging is an Agent behaviour & coding discipline skill for AI agents, published by affaan-m in the ECC repository on GitHub. Skillspace rates agent-introspection-debugging D (64/100) and it passed the safety scan; a judge model has also reviewed it.
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 255,679
Placed #4 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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Agent behaviour & coding discipline.
- Trigger
75 75 - Instructions
85 85 - Specificity
82 82 - Safety
85 85 - Disclosure
72 72 - Maintenance
75 75
A clear four-phase capture-diagnose-recover-report loop with a concrete failure-pattern table and an explicit ban on claiming unverified auto-healing actions.
What the scanner flagged
- mentions secrets in text
Not checked 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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