Skills for Real Engineers. Straight from my .agents directory.
marketplace-health-check
Agent skill fromdaymade/claude-code-skills
Runs an evidence-based health audit of this skills marketplace repo — code safety, docs/SSOT, security/PII, PR/issue triage, manifest integrity — via a parallel workflow, then verifies findings by priority. Use for 全面体检 / 检查仓库状态 / 审计一下仓库, a pre-release sweep, or "is this repo OK" even without saying "workflow". Not for building marketplace.json (use marketplace-dev) or cache drift (use skill-governance).
How to install marketplace-health-check
npx skills add daymade/claude-code-skills# or add only this skill to Claude Code: copy the folder
marketplace-health-check/
# into
~/.claude/skills/marketplace-health-check/ (all projects)
.claude/skills/marketplace-health-check/ (one project)
1# Marketplace Health Check23Run a comprehensive, evidence-based health check of this Claude Code skills marketplace repo using a parallel fan-out Dynamic Workflow. Use independent inspectors to cover these dimensions in parallel:451. **Code & script safety** — dangerous deletes, NO-FALLBACK secret leaks, hardcoded real paths, bare `except`, injection, missing shebangs62. **Documentation / SSOT consistency** — authoritative documentation checks, release-policy consistency, broken references, derived-value drift73. **Security / PII** — keyword-free leaks gitleaks can't catch (real names, private domains), generic secret scans, case-file audits84. **Open-PR triage** — classify every PR (worth-merging / needs-changes / decline-as-promotion)95. **Open-issue triage** — real bugs vs skill-requests vs promotion, plus the broken-install-command bug class106. **Marketplace-manifest integrity** — `check_marketplace.sh` + `check_doc_skill_lists.py`, orphans, suite registration1112Then YOU verify the serious findings and report by priority. Use the bundled script (`scripts/repo-health-check.workflow.js`) for orchestration; this file is how to run and interpret it.1314## Why a workflow — and why it MUST run inline1516The dimensions are independent, so fanning them out across parallel agents is far faster than one agent sweeping serially, and each inspector stays focused on one concern with its own structured output.17…
Excerpt shown under the repository's MIT license.
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