check
Skill14 starsChanged 36 days agoApache-2.0View on GitHub
Run the hub coherence linter (validate-hub) and report any documentation-graph violations — broken links, orphan docs, or agents missing from the routing table.
80 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- ribato22/vibechecktheir own version, first seen Nov 8, 2026
- vvs1off/fabric-skillstheir own version, first seen Nov 8, 2026
- pche-broken-artist/forge-of-thoughttheir own version, first seen Nov 6, 2026
- cykedev/vereinsheimtheir own version, first seen Nov 3, 2026
- arunendapally/portfolio-copilottheir own version, first seen Nov 1, 2026
- therealtinhtute/mono-harnesstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use daily-arxiv, exp-eval and 10 more.
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.
LambenthanSkilldaily-arxiv
每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新
Also in 5 projects that use this
LambenthanSkillexp-eval
实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges
Also in 5 projects that use this
JuliusBrusseeSkillbackprop
Bug → spec protocol. When a bug is found or a test fails, trace the cause, decide whether a new §V invariant would catch recurrence, append to §B. This is the one non-obvious thing SDD does that plan-then-execute doesn't. Triggers on test failure, bug report, post-mortem, or explicit user ask.
Also in 4 projects that use this
skyllwtSkillexp-pilot-eval
Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.
Also in 4 projects that use this
skyllwtSkillexp-pilot-run
Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.
Also in 4 projects that use this
- +6 more from Lambenthan
- +1 more from skyllwt
Other versions80 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- steepy-it/steepy-formula★ 525% same
Wrote their own version · 79
- tw93/claude-health★ 7.5ksame name
- tw93/Waza★ 7.5ksame name
- katanemo/archgw★ 7.1ksame name
- katanemo/plano★ 7.1ksame name
- tokio-rs/topcoat★ 6.4ksame name
- Giskard-AI/giskard-oss★ 5.9ksame name
- VibiumDev/vibium★ 3ksame name
- skyllwt/OmegaWiki★ 1.7ksame name
- DAIR-AutoResearch/AutoSci★ 1.7ksame name
- PKU-DAIR/AutoSci★ 1.7ksame name
69 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 repository14 other files it gives its agents.
- AGENTS.mdAGENTS.md
- templates/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- steepy-apex-bootstrapSkill
- steepy-apex-bootstrapSkill
- brainstormSkill
- discoverySkill
- implementSkill
- inceptionSkill
- initSkill
- loop-engineerSkill
- new-surfaceSkill
- planSkill
- reviewSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 2 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 69 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Run the hub linter from the repo root and report any violations.
- Very specific: line 23
If the output is steepy validate-hub: OK, report that the doc graph is coherent.
- Very specific: line 24
If the output is steepy validate-hub: no .apex hub found …, the repo has not opted into steepy yet — tell the user to run the init skill …
- Very specific: line 25
If there are violations, list each one clearly and suggest how to fix it (broken links, orphan docs not linked from _INDEX.md, agents not …
- Distinctive: line 29
After the validate-hub report, run the model-mapping freshness verifier:
“Common” is measured: kept by at least 6 in 10 of the 69 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
check
Run the hub linter from the repo root and report any violations.
Engine root: this skill's base directory is
<engine-root>/skills/check/; engine scripts live two levels up, at<engine-root>/scripts/. Resolve them relative to the base directory your harness reports for this skill.
Procedure
Run the linter:
node <engine-root>/scripts/validate-hub.mjs .- If the output is
steepy validate-hub: OK, report that the doc graph is coherent. - If the output is
steepy validate-hub: no .apex hub found …, the repo has not opted into steepy yet — tell the user to run theinitskill (invoke it the way your harness invokes skills) to create the hub instead of reporting a coherent graph. - If there are violations, list each one clearly and suggest how to fix it (broken links, orphan docs not linked from
_INDEX.md, agents not referenced in the routing table).
Model-mapping freshness
After the validate-hub report, run the model-mapping freshness verifier:
node <engine-root>/scripts/verify-model-mappings.mjs- Include the per-row verdicts (
OK | STALE | UNKNOWN) in the report. STALEmeans the live source shows drift: a human-ratified table patch is needed — the script prints the prepared patch, so surface it in the report for a human to ratify and apply.UNKNOWNis informational (source unreachable — offline degradation): report it as declared, never as a failure.
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.

