maintain-verification-skill
Periodic pass that keeps a project's verification skill and feature map honest: parallel source readers per feature, one live session driving every feature…
Skill by birwin93
Chalk Labs
Need help deploying maintain-verification-skill?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/birwin93-maintain-verification-skill
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
maintain-verification-skill- Description
- 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".
- License
- MIT
- Instructions
- 35 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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 0. **Locate the target.** Find the verification skill to maintain: the project-local skill whose body has launch/drive sections and a feature map (usually `.agents/skills/verify-*/`). Several candidates → ask which one; none → stop and point at `/create-verification-skill` instead of inventing a target. 1. **Index hygiene.** Read the feature map README and glob its sibling files. Fix missing, extra, duplicate, or dead entries. Lightweight; no generated inventory. 2. **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. 3. **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. 4. **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). 5. **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. 6. **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.
From birwin93/bstack, MIT.
More from birwin93/bstack
- 0.567score
bstack-runtime
birwin93
Internal runtime contract for bstack skills.
SkillAFreshness: AClaude Code +9 - 0.567score
pstack-sync
birwin93
Review upstream pstack changes, propose adaptations, track review coverage, and preview or apply explicitly approved ports.
SkillAFreshness: AClaude Code +9 - 0.565score
maintain-formal-verification-skill
birwin93
Bring a project's formal verification back in line with the code after the code changes.
SkillAFreshness: AClaude Code +9 - 0.561score
correct
birwin93
Find repeated agent mistakes in authorized repository and current-task evidence, then prevent them with architecture, types, lint or CI, behavior tests, and…
SkillAFreshness: AClaude Code +9 - 0.561score
benchmark-checklist
birwin93
Vet measured performance before reporting or acting on a speedup, regression, throughput, latency, or benchmark comparison.
SkillAFreshness: AClaude Code +9 - 0.561score
ketchup
birwin93
Catch up on this chat since your previous human message, with verified status and decisions waiting on you.
SkillAFreshness: AClaude Code +9 - 0.561score
grill-me
birwin93
Interview the user relentlessly, in rounds of numbered questions with recommended answers, until a plan, design or decision is fully settled.
SkillAFreshness: AClaude Code +9 - 0.541score
architect
birwin93
Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in.
SkillAFreshness: AClaude Code +9 - 0.541score
create-verification-skill
birwin93
Generate a project-local verification skill that drives your app the way a user does — any language, framework, or platform.
SkillAFreshness: AClaude Code +9 - 0.541score
how
birwin93
Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which…
SkillAFreshness: AClaude Code +9 - 0.541score
interrogate
birwin93
Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".
SkillAFreshness: AClaude Code +9 - 0.539score
create-formal-verification-skill
birwin93
Generate a project-local skill that formally verifies the code where a bug costs the most and tests reach the least, in any language, with whichever…
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 1, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/birwin93/bstack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from birwin93
- 0.567score
pstack-sync
birwin93
Review upstream pstack changes, propose adaptations, track review coverage, and preview or apply explicitly approved ports.
SkillAFreshness: AClaude Code +9 - 0.567score
bstack-runtime
birwin93
Internal runtime contract for bstack skills.
SkillAFreshness: AClaude Code +9 - 0.565score
maintain-formal-verification-skill
birwin93
Bring a project's formal verification back in line with the code after the code changes.
SkillAFreshness: AClaude Code +9 - 0.561score
grill-me
birwin93
Interview the user relentlessly, in rounds of numbered questions with recommended answers, until a plan, design or decision is fully settled.
SkillAFreshness: AClaude Code +9 - 0.561score
benchmark-checklist
birwin93
Vet measured performance before reporting or acting on a speedup, regression, throughput, latency, or benchmark comparison.
SkillAFreshness: AClaude Code +9 - 0.561score
correct
birwin93
Find repeated agent mistakes in authorized repository and current-task evidence, then prevent them with architecture, types, lint or CI, behavior tests, and…
SkillAFreshness: AClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get maintain-verification-skill running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
maintain-verification-skill. Agent Mart. https://agentmart.dev/skills/birwin93-maintain-verification-skill (last updated 2026-10-24)