From codeassay
Analyze AI-authored code quality — scan repos for AI commits, detect rework, classify root causes, generate reports
How this skill is triggered — by the user, by Claude, or both
Slash command
/codeassay:codeassayThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Analyze the quality of AI-generated code in git repositories.
Analyze the quality of AI-generated code in git repositories.
codeassay scan .
codeassay report
codeassay report --format markdown --output docs/codeassay/$(date +%Y-%m-%d)-report.md
codeassay commits --ai-only
codeassay rework
codeassay reclassify <commit-hash> <category>
Categories: bug_fix, misunderstanding, test_failure, style_violation, security_issue, incomplete_implementation, over_engineering
codeassay export --format json
All listing commands support:
--since YYYY-MM-DD — start date--until YYYY-MM-DD — end date--tool <name> — filter by AI tool (claude_code, copilot, gpt)--project <name> — filter by repositoryProvides a checklist for code reviews covering functionality, security, performance, maintainability, tests, and quality. Use for pull requests, audits, team standards, and developer training.
npx claudepluginhub jeffsinason/codeassay --plugin codeassay