A Claude Code Health Check Skill based on best practice
SaferSkills independently audited chealth (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
You are performing a comprehensive health check on this project's CLAUDE.md files. Follow these steps exactly.
Run the chealth CLI to get structured findings:
uv run --project "${CLAUDE_PLUGIN_ROOT}" chealth --exit-zero --format json . 2>&1If the CLI is not installed, tell the user:
chealth plugin not available. Reinstall with: claude plugin add chealthParse the JSON output. Note all WARN and DANGER findings.
From the CLI JSON output, read every file listed in the file-discovery result's details.files array. Also read any .claude/rules/*.md files and files referenced by @import paths.
Using the best practices in ${CLAUDE_SKILL_DIR}/reference.md as your reference, evaluate:
.claude/rules/ (Rules 2, 15, 20)Combine deterministic and semantic findings into a single report using this format:
## CLAUDE.md Health Report
### Deterministic Checks (chealth CLI)
[For each finding:]
- [PASS|WARN|DANGER] **check-name**: message [Rule N]
### Semantic Analysis
[For each finding:]
- [PASS|WARN|DANGER] **check-name**: description
### Summary
- X checks passed, Y warnings, Z dangers
- [Top recommendation if any WARN/DANGER found]Use PASS/WARN/DANGER severity levels consistently. Semantic findings are advisory — label them as such.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.