health-check
Skill2 starsChanged 5 months agoMITView on GitHub
Run a full self-diagnostic of the Forge plugin — executes hook unit
21 other projects use a version of this.
Adopted by
Most recently taken up by
- codewithmukesh/dotnet-claude-kittheir own version, first seen Nov 8, 2026
- telerik/observability-skillstheir own version, first seen Oct 22, 2026
- allanninal/claude-code-skillstheir own version, first seen Oct 17, 2026
- hosaypeng/claude-skillstheir own version, first seen Oct 13, 2026
- Resgrid/Coretheir own version, first seen Oct 8, 2026
- kubehan/PromAItheir own version, first seen Oct 8, 2026
Used with
Projects with it also use testing.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
NVIDIASkilltesting
Run Python and Rust tests for physicsnemo-curator using uv + pytest with coverage reporting via pytest-cov, and cargo-nextest for Rust tests. Includes benchmark workflows with pytest-benchmark and criterion.
Also in 3 projects that use this
Other versions21 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 21
- zylos-ai/zylos-core★ 1.2ksame name
- codewithmukesh/dotnet-claude-kit★ 808same name
- bitwize-music-studio/claude-ai-music-skills★ 589same name
- Resgrid/Core★ 238same name
- kubehan/PromAI★ 129same name
- hoangsonww/AI-Agents-Orchestrator★ 83same name
- fagemx/edda★ 36same name
- weklund/fiduciary★ 10same name
- aws-samples/sample-aws-ops-skills-for-agents★ 8same name
- link7373/agentic-bi-team★ 4same name
11 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository46 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- forge-opencode/CLAUDE.mdCLAUDE.md
- forge-adoptSkill
- forge-arch-proSkill
- forge-archSkill
- forge-autopilotSkill
- forge-autopilot-stopSkill
- forge-build-proSkill
- forge-buildSkill
- forge-deploySkill
- forge-doctorSkill
- dreamer-runSkill
- forge-evalSkill
- forge-feedbackSkill
- flowSkill
- forge-force-advanceSkill
- graduateSkill
- forge-initSkill
- forge-monitorSkill
- forge-orchestrateSkill
- forge-plan-proSkill
- forge-planSkill
- preflightSkill
- forge-product-proSkill
- forge-productSkill
- forge-releaseSkill
- forge-resolveSkill
- forge-resumeSkill
- forge-retroSkill
- forge-reviewSkill
- forge-rulesSkill
- forge-set-profileSkill
- skill-creatorSkill
- forge-spec-proSkill
- forge-specSkill
- forge-sprint-proSkill
- forge-sprintSkill
- forge-srs-proSkill
- forge-srsSkill
- forge-statusSkill
- forge-trace-matrixSkill
- forge-uninstallSkill
- forge-validateSkill
- watchSkill
- watch-stopSkill
- forge-whySkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 16 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
After a session where hooks behaved unexpectedly.
- Distinctive: line 24
Before a release to verify the plugin is in good shape.
- Distinctive: line 33
Run the health check:
- Very specific: line 48
If FAILING and auto-disable fired (policy was true):
“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Forge Health Check
Runs the Health daemon (REQ-F-022..026). Executes hook unit tests as a subprocess,
checks .forge/lessons.yaml for structural integrity, and produces a markdown health
report. Overall status is healthy, degraded, or failing based on clear rules.
Auto-disable of hooks is gated on explicit policy and is never silent.
When to Use
- User types
/forge:health-checkor asks to check if the plugin/hooks are working. - After a session where hooks behaved unexpectedly.
- Before a release to verify the plugin is in good shape.
When NOT to Use
- The user wants to run the full test suite — use
pytest tests/directly. - The user wants pipeline status (stage gates) — that is
/forge:status.
Steps
- Run the health check:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/health_check.py --run --cwd "$(pwd)" - Present the full markdown report verbatim. The report covers:
- Hook tests: pass/fail counts from hook-focused pytest run.
- Lesson store: any integrity issues in
.forge/lessons.yaml(missing fields, out-of-range confidence, broken[[xref]]cross-references, malformed YAML). - Status summary:
HEALTHY,DEGRADED, orFAILING.
- Interpret the status for the user:
- HEALTHY — all hooks pass and lesson store is clean. No action needed.
- DEGRADED — hooks pass but lesson store has issues. Recommend reviewing
.forge/lessons.yamland fixing flagged entries. - FAILING — hook tests failed. Show the failing detail and suggest running
pytest tests/unit -k "hook or session_start"directly for full output.
- If
FAILINGand auto-disable fired (policy wastrue):- Tell the user that
.forge/health-surface.txthas been written and will surface at the next session start. - Tell the user that
.forge/events.jsonlhas the audit record. - Emphasise this was NOT silent — the policy was explicitly opted into.
- Tell the user that
Verification
- Exit code 0 = healthy, non-zero = degraded or failing.
- Re-running
/forge:health-checkafter fixing tests should flip status toHEALTHY.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

