Audit Claude Code agents, skills, and commands for quality and production readiness. Use when evaluating skill quality, checking production readiness scores, or comparing agents against best-practice templates.
日本語の概要は準備中です。原文の説明を表示しています。
Use when checking whether a Proofpack release candidate has complete local evidence before packaging.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Work from the Proofpack project root. Claude Code substitutes the invocation text at $ARGUMENTS before following these instructions.
$ARGUMENTS is empty, set the candidate path to fixtures/release-ready.json.$ARGUMENTS value as one filesystem path. Do not evaluate it as a shell expression.node src/cli.mjs verify "<resolved-candidate-path>" with that literal path as one quoted argument.ISSUE.md and CLAUDE.md.npm test.npm run package:check only when tests and candidate verification pass.git rev-parse HEAD and git status --short. Compare that source state, the observed commands, exit statuses, and runtime version with evidence/PROOF-LOG.md.PASS, FAIL, or UNKNOWN. Name any check that did not run or any worktree change not covered by the recorded fingerprint.Do not run npm publish, docker push, or change the proof log. Package inspection is local. Publication requires a separate user decision and destination credentials.
Return this record:
RELEASE VERIFICATION
Candidate: <path>
Revision: <commit or UNKNOWN>
Tests: PASS | FAIL | UNKNOWN
Candidate contract: PASS | FAIL | UNKNOWN
Package dry run: PASS | FAIL | UNKNOWN
Evidence log match: PASS | FAIL | UNKNOWN
Final status: PASS | FAIL | UNKNOWN
Limits: <unverified runtime or external behavior>
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Audit Claude Code agents, skills, and commands for quality and production readiness. Use when evaluating skill quality, checking production readiness scores, or comparing agents against best-practice templates.
日本語の概要は準備中です。原文の説明を表示しています。
Codebase health audit scoring 7 categories with progression plan
日本語の概要は準備中です。原文の説明を表示しています。
Autonomous improvement loop: scan codebase metrics, scaffold experiment files, run agent-driven iterations until metric improves
日本語の概要は準備中です。原文の説明を表示しています。
Generate bounded independent candidates, score them against a frozen rubric, and verify the selected result with a proof log.
日本語の概要は準備中です。原文の説明を表示しています。
Post-deploy monitoring: watch production after a deploy and alert on regressions
日本語の概要は準備中です。原文の説明を表示しています。
Restore context after /clear by summarizing recent work and project state
日本語の概要は準備中です。原文の説明を表示しています。