Install
$ agentstack add skill-mdproctor-cc-praxis-project-health ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Project Health
Answer the question: is this project correct, complete, and consistent?
Runs universal quality checks that apply to every project type, then runs type-specific health checks inline based on the project type declared in CLAUDE.md.
Step 0 — Read Project Type
Before any checks run, read the project type:
python3 ~/.claude/skills/project-init/ctx.py
Read PROJECT_TYPE from the output.
Extract the type: skills | java | blog | custom | generic
If PROJECT_TYPE is empty, treat as generic and note it as a config finding.
Store the type — type-aware checks (primary-doc, artifacts, conventions, framework) use it throughout this skill.
Step 1 — Determine Tier
Parse flags from the invocation:
| Flag | Tier | What runs | |------|------|-----------| | --commit | 1 | validate_all.py --tier commit only | | --standard | 2 | Universal quality checks | | --prerelease | 3 | Universal + type-specific quality checks | | --deep | 4 | All of tier 3 + refinement questions | | --tier N | N | Explicit tier (1–4) |
If no tier flag is given, prompt:
> How thorough should this check be? > > 1 — Quick — validators only (~30s) > 2 — Standard — universal quality checks (~5 min) > 3 — Full — universal + type-specific quality (~15 min) > 4 — Deep — everything + refinement questions (~30 min) > > Enter 1–4 (default: 2):
Wait for response. If no response, use tier 2.
Also parse:
--save→ write report toYYYY-MM-DD-health-report.mdafter output- Category names (e.g.
docs-sync consistency) → run only those categories - If categories specified without
--tier, run at tier 2
Step 2 — Tier 1: Run Automated Validators
Always run first (all tiers include this):
python scripts/validate_all.py --tier commit
If this script doesn't exist, note it as a config finding and skip.
Report output. If CRITICAL findings from validators → flag them.
For tier 1, stop here. Present findings and exit.
Step 3 — Build Document Scan List
For tier 2+, build the scan scope before running checks.
Always included:
- All
.mdfiles (recursive) underdoc/,docs/,documentation/(case-insensitive) - Root-level
.mdfiles matching:readme,overview,summary,index,contributing,
governance, code_of_conduct, changelog, history, release, architecture, design, decisions, vision, philosophy, principles, api, schema, glossary, security, deployment, install, usage, troubleshooting, roadmap, spec, requirements, quality (case-insensitive match on filename stem)
- Any root
.mdnot on the list is still scanned - Any
README.md,CHANGELOG.md,CONTRIBUTING.md,ARCHITECTURE.mdanywhere in the tree
Type-specific additions (use detected type from Step 0):
skills→ allSKILL.mdfiles in direct subdirectoriesjava→pom.xml,build.gradle, Javadoc comments insrc/blog→_config.yml,_posts/,_layouts/,_includes/custom→ primary document path declared in CLAUDE.md
User-configured additions: Read ## Health Check Configuration from CLAUDE.md:
Additional doc paths: wiki/, design/
Add any listed paths to the scan scope.
Step 4 — Read CLAUDE.md Health Configuration
grep -A 10 "## Health Check Configuration" CLAUDE.md 2>/dev/null
Parse:
Default checks:→ limit to these categories if no categories specified on invocationSkip:→ exclude these categories even if requestedAdditional doc paths:→ already applied in Step 3
If no configuration section, use built-in defaults: run all universal categories.
Step 5 — Run Universal Checks
Run the applicable check categories at the requested tier. Skip categories listed in Skip: from CLAUDE.md. If specific categories were requested, run only those.
For tier 2: quality items only (pass/fail checks). For tier 4: quality items + refinement questions (judgment items).
Read [check-categories.md](check-categories.md) for the full quality and refinement checklists for all 12 universal categories before running checks: docs-sync, consistency, logic, config, security, release, user-journey, git, primary-doc, artifacts, conventions, framework.
Step 6 — Run Type-Specific Checks (Tier 3+)
At tier 3 and 4, after universal checks complete, read the type-specific content file and execute the checks it describes. Type-specific findings are prefixed with [type] (e.g. [java]).
| Project type | File to read | |---|---| | skills | ~/.claude/skills/project-health/skills-repo.md | | java | ~/.claude/skills/project-health/java.md | | blog | ~/.claude/skills/project-health/blog.md | | custom | ~/.claude/skills/project-health/custom.md | | python | ~/.claude/skills/project-health/python.md | | ts / TypeScript detected | ~/.claude/skills/project-health/typescript.md | | generic | Skip — universal checks only |
Read the file, then execute the checks described in it.
If the project type is generic but TypeScript or Python files are found, suggest running the relevant section manually.
Step 7 — Present Report
## project-health report — [categories run] — tier [N]
### CRITICAL (must fix)
- [category] finding description
### HIGH (should fix)
- [category] finding description
### MEDIUM (worth fixing)
- [category] finding description
### LOW (nice to fix)
- [category] finding description
### PASS
✅ category1, category2, ...
Universal findings have no extra prefix. Type-specific findings are prefixed with [type] (e.g. [java]). If no findings in a severity level, omit that section.
Step 8 — Offer Auto-Fix (Mechanical Issues Only)
For mechanical findings (wrong count in README, stale version number, missing commands/.md), offer:
> Auto-fixable findings detected. > > Would you like me to apply mechanical fixes now? > - [list of specific fixes] > > (YES / NO — judgment calls are never auto-applied)
Wait for response. Apply only on YES. Never auto-apply.
Step 9 — Save Report (if --save)
If --save was passed, write findings to a date-prefixed file:
# Format: YYYY-MM-DD-health-report.md
Tell user: > Report saved to YYYY-MM-DD-health-report.md. This file is gitignored by default.
Verify .gitignore includes *-health-report.md or similar. If not, suggest adding it.
Common Pitfalls
| Mistake | Why It's Wrong | Fix | |---------|----------------|-----| | Running type-specific checks before reading project type | Checks have no context | Always read project type in Step 0 first | | Reporting "plans to implement" as bugs | Intentional design language | Distinguish docs describing intent vs. describing current state | | Auto-fixing judgment findings | Judgment calls require human decision | Only auto-fix mechanical findings, always with YES confirmation | | Skipping type-specific section at tier 3+ | Incomplete health picture | Run the type-specific section — it's mandatory at tier 3+ unless type is generic | | Treating all findings as equal | CRITICAL blocks release, LOW does not | Use severity consistently | | Running docs-sync without reading the actual source files | Can't verify claims without reading | Read code and docs together |
Success Criteria
Health check is complete when:
- ✅ Project type read from CLAUDE.md before any checks ran
- ✅ Tier confirmed (via flag or prompt)
- ✅ All applicable universal categories checked at the requested tier
- ✅ Type-specific section run at tier 3+ (or skipped for generic)
- ✅ Report presented with findings grouped by severity
- ✅ Mechanical auto-fix offered (not applied without YES)
- ✅ Report saved if
--savewas passed
Not complete until all applicable categories checked and report presented.
Skill Chaining
Invoked by:
- User says "health check", "is the project healthy", "pre-release check", or invokes
/project-health - Other skills (e.g.
git-commit) can suggest/project-health --commitafter significant changes
Companion skill:
- [
project-refine] — once health is green, use project-refine for improvement opportunities (bloat, structure, deduplication). They share the same CLAUDE.md Health Check Configuration section.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: mdproctor
- Source: mdproctor/cc-praxis
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.