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Review the agent's own recent outputs for quality and accuracy
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is unreliable across sessions — forgets context, drifts out of scope, claims "done" before tests pass, or starts each session inconsistently — or when creating or assessing AGENTS.md, CLAUDE.md, feature_list.json, init.sh, progress.md, or session-handoff files. Reach for it even if the user never says the word "harness."
Generate a consolidated digest from multiple information sources
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Implement features on branches from issue descriptions
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| name | self-review |
| description | Review the agent's own recent outputs for quality and accuracy |
| metadata | {"sources":[{"kind":"github-file","repo":"aaronjmars/aeon","path":"skills/self-review/SKILL.md","commit":"b14a3f89082dada4e1aba1838cda08ec6555eeba","attribution":"aaronjmars","usage":"referenced"}]} |
Self-review skill that evaluates recent agent outputs for quality, accuracy, and consistency.