Individual skill
agent-self-evaluation
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.
pi/core/skills/agent-self-evaluation/SKILL.md
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SKILL.mdcore · 7,625 bytesexamples/high-score-example.mddoc · 3,545 bytesexamples/low-score-example.mddoc · 3,702 bytesreferences/evaluation-criteria.mddoc · 5,820 bytesreferences/hook-integration.mddoc · 2,500 bytesscripts/evaluate.pyruns · 15,334 bytestemplates/evaluation-report.mddoc · 3,485 bytes
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# Agent Self-Evaluation
After completing a complex task, the agent pauses to rate its own output against a structured 5-axis rubric. This is NOT a pass/fail gate — it's a deliberate reflection step that catches omissions, flags overconfidence, and surface areas for improvement before the user has to.
## When to Activate
- After writing code that spans 3+ files or 50+ lines
- After completing a multi-step workflow (implement → test → review)
- After a debugging session that involved 3+ attempts
- After producing a design document, architecture decision, or written analysis
- When the user asks "how good was that?" or "rate yourself"
- At the end of any session Stop hook (if configured — see `references/hook-integration.md`)
## Core Concepts