agentleFS
epamepam/ketcher/.agents/skills/maintain-verification-skill/SKILL.md

maintain-verification-skill

Skill927 starsChanged 2 days agoApache-2.0View on GitHub

Periodic pass that keeps a project''s verification skill and feature map honest: parallel source readers per feature, one live session driving every feature, at most one PR of proven corrections. Use for /maintain-verification-skill or "audit the verify skill".

We split this skill into the rules it gives an agent

3 rules. 3 are common, 0 are distinctive, and 0 are very specific to this project.

  • 3

    Common

    Most of the 66 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Common:

    Index hygiene: Read the feature map README and glob its sibling files.

    line 33
  2. Common:

    Reconcile: Every feature file has a returned summary.

    line 37
  3. Common:

    Keep concise run notes (features covered, unreachable prerequisites, confirmed drift, outcome) in a scratch location.

    line 45

“Common” is measured: kept by at least 6 in 10 of the 66 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Maintain a verification skill

A feature map rots the moment the app changes. This skill is the upkeep loop for a skill generated by /create-verification-skill (or any project-local verification skill with a feature map). The unit of rigor is the feature, not every sentence: cover every feature file from source and exercise every feature live, without terminalising every bullet.

Outcomes

Pick one, and say which:

  • clean — every feature got source and live coverage; nothing worth shipping. No branch, no PR.
  • changed — one PR ships proven doc, harness, or map corrections.
  • blocked — coverage could not finish or a proven fix could not ship safely. Say exactly what blocked it.

Edit scope

Only edit the verification skill's own directory (its SKILL.md, features/, and any harness scripts it owns). Never edit product code during a run: a behavior the map describes that the app no longer does is either doc drift (fix the map) or a product regression (report it, don't paper over it in docs).

Pass

  1. Locate the target. Find the verification skill to maintain: the project-local skill whose body has launch/drive sections and a feature map (usually a verify-* folder in .agents/skills/). Several candidates → ask which one; none → stop and point at /create-verification-skill instead of inventing a target.
  2. Index hygiene. Read the feature map README and glob its sibling files. Fix missing, extra, duplicate, or dead entries. Lightweight; no generated inventory.
  3. Source wave. One read-only subagent per feature file, launched concurrently. Each explains "how does this user-facing feature work?" from source, flags likely doc drift with citations, and returns one concise live-verification recipe. Children never drive the app and never edit files. Return shape: feature summary / source entry points / likely drift or none / one recipe.
  4. Reconcile. Every feature file has a returned summary. Merge overlapping recipes into as few app states as practical. Spot-check cited drift; don't re-prove clean claims. Sweep recent churn for user-facing surfaces missing from the map — require a concrete source path before calling one missing.
  5. Live pass. Required even when source looks clean. The coordinator owns all driving; follow the verification skill's own launch model — one long-lived instance driven serially for servers and UIs, or a fresh isolated session per drive for short-lived CLIs (the skill's Launch section decides, not this one). Exercise every feature at least once, and hold three invariants the whole pass, whatever the failure: (1) never drive an instance you haven't health-checked since it last did something surprising — doctor before first drive, doctor on each fresh session where sessions are the unit, doctor again after any failed drive, and where doctor can't see the failure (a wedged UI state on a healthy process), reset to a known state or relaunch rather than hoping; (2) evidence captured so far survives every cleanup, checked at its named location, not assumed; (3) nothing a drive started outlives that drive's usefulness — failed-iteration residue is cleaned whether the session is stuck, exited, or shared (for a shared instance, clean the residue, not the instance). A doctor failure caused by skill drift is drift: fix it under edit scope and retry once — restart whatever the fix invalidated, nothing more — before calling the pass blocked. A feature that can't be reached is verified-unreachable only with the concrete prerequisite (auth, entitlement, OS, external state) and the route attempted; if the map omits that prerequisite, that's drift. Any harness fix from triage gets re-driven live before it ships. Final teardown happens after the last drive of the run — including those re-proofs — so nothing outlives the run (evidence stays, per the skill).
  6. Triage. Wrong or missing user-POV description → doc drift, fix it. Working behavior the harness can't drive → harness gap, fix it; a harness fix follows the same helpers rule as generation (scripts executable, invocation documented in the skill body). App behavior that's actually broken → product gap; record it for the user, keep it out of this PR.
  7. Ship or stop. For changed: one PR of proven corrections, re-read every changed file first. For clean or blocked: no PR, report the outcome and the coverage honestly.

Keep concise run notes (features covered, unreachable prerequisites, confirmed drift, outcome) in a scratch location; don't commit them.

Download now (ZIP)

  • Other versions66 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 59

    1. backnotprop/pstack★ 3.3k97% same
    2. deadlock-mod-manager/deadlock-mod-manager★ 55995% same
    3. openwong2kim/wmux★ 44058% same
    4. jtaroreh/agystack★ 12876% same
    5. uzairansaruzi/p3-stack★ 12690% same
    6. Dimon94/dverity★ 10799% same
    7. Dimon94/skills★ 10799% same
    8. dsebban/skills★ 7192% same
    9. The-AIE/the-gibson★ 4397% same
    10. Scino/fstack★ 1887% same

    49 more not listed

    Wrote their own version · 7

    1. paperclipai/paperclip★ 110ksame name
    2. TheOnlyFusionCube/potetos-for-everyone★ 18same name
    3. kenxle/live-agentic-html-editor★ 5same name
    4. malinskibeniamin/skills★ 4same name
    5. matiopala/skills★ 2same name
    6. woodbeary/later-dog★ 2same name
    7. 3metaJun/mstack★ 0same name

    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.

  • Used alongsideProjects with it also use in-your-own-words, poteto-help and 9 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.
    • alexnthnzSkill

      in-your-own-words

      Restate in your own words what you think the user's goals are and what problem they're trying to solve. Use for /keel:in-your-own-words.

      Also in 9 projects that use this

    • ianclearySkill

      poteto-help

      Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.

      Also in 9 projects that use this

    • jtarorehSkill

      poteto-mode

      poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or requests to work in this style.

      Also in 5 projects that use this

    • bnemaSkill

      setup-pstack

      Configure which Pi models pstack uses per role. Detects available provider/model specs and writes pstack's user configuration. Use for /setup-pstack, "configure pstack models", or changing pstack model choices.

      Also in 23 projects that use this

    • Xia-AtaraxiaSkill

      make-bot-ui

      Builds a small web page whose buttons wake an agent over a webhook: a local server keeps the sender key server-side and POSTs JSON to a webhook-triggered routine, and the page is exposed on the existing Tailscale node. Use for \"make a bot UI\", \"a dashboard with buttons that trigger the agent\", \"wake the bot from a page\", handing a webhook sender key to the server without pasting it in chat, or putting that UI on the tailnet. Not for general frontend work - use principle-frontend; not for tailnet health or reachability - use tailscale.

      Also in 16 projects that use this

    • Xia-AtaraxiaSkill

      benchmark-checklist

      Vets performance measurements for the limiter, tuning, physical limits, errors, repeatability, relevance, and proof that timed work happened. It applies to 'check this benchmark', 'report this speedup', measured regressions, and choosing a library or configuration from numbers. It reports spread and gaps before drawing a conclusion. Not for general testing policy or choosing test oracles - use principle-testing.

      Also in 17 projects that use this

  • In this repository24 other files it gives its agents.

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.