verification
Skill0 starsChanged 5 days agoMITView on GitHub
Use when the user asks to verify or prove a change works, to write or add tests, to run all repository tests, or to prove the running app, a migration, an endpoint, or a job works, or when a build skill reaches its verification gate. Proposes e2e and integration tests worth keeping.
47 other projects use a version of this.
Adopted by
Most recently taken up by
- neuraforge-cl-es/adaptive-engineeringtheir own version, first seen Nov 8, 2026
- facebook/docusaurustheir own version, first seen Nov 8, 2026
- maideps/ai-harness-frameworktheir own version, first seen Nov 8, 2026
- Lanqiao-Luca/ai-java-workflowtheir own version, first seen Nov 8, 2026
- Gabriel-Lafrance/Skillsword for word, first seen Nov 6, 2026
- the-inconvenience-store/skillstheir own version, first seen Nov 6, 2026
Used with
Projects with it also use evidence-driven-writing, experiment-results-planning 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.
Norman-burySkillevidence-driven-writing
Use when writing or revising Introduction, Related Work, background, literature synthesis, or any section where references must drive claims
Also in 3 projects that use this
Norman-burySkillexperiment-results-planning
Use when designing experiments, result tables, mock planning data, evaluation protocols, or results sections before real data are final
Also in 3 projects that use this
- +10 more from Norman-bury
Other versions47 projects use a version of this.
Word for word · 1
- Gabriel-Lafrance/Skills★ 0100% same
Edited · 0
None found.
Wrote their own version · 46
- facebook/docusaurus★ 67ksame name
- open-metadata/OpenMetadata★ 16ksame name
- openai/plugins★ 7.8ksame name
- hi-godot/godot-ai★ 3.4ksame name
- Norman-bury/research-writing-skill★ 3.4ksame name
- Norman-bury/articlewriting-skill★ 3.4ksame name
- forcedotcom/salesforcedx-vscode★ 1ksame name
- vercel/vercel-plugin★ 328same name
- s3s-project/s3s★ 315same name
- project-numina/numina-lean-agent★ 279same name
36 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 repository18 other files it gives its agents.
- AGENTS.mdAGENTS.md
- analyzeSkill
- ask-gabrielSkill
- babysit-prSkill
- councilSkill
- gabriel-modeSkill
- grill-meSkill
- hillclimbSkill
- howSkill
- review-loopSkill
- reviewSkill
- rulesSkill
- setup-gabriel-skillsSkill
- takeover-prSkill
- taskSkill
- test-auditSkill
- whySkill
- write-ticketSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 7 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 38 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
Before asking the user anything: Asking the user.
- Distinctive: line 26
Started by an execution skill: use the parent's pinned revision/diff, Done when, rules that must stay true, slices, and test decisions.
- Distinctive: line 29
Use Git sync only for operational synchronization.
- Very specific: line 34
Recipe: Read docs/verification.md if it exists.
- Distinctive: line 36
Doctor: Before a live drive and after any surprise, check its prerequisites read-only: process up, right build, owned port, and seed …
- Distinctive: line 38
Drive: Run each live check through the real path a user or system takes: the UI flow in a browser, the HTTP call, the CLI command, the job …
- Distinctive: line 39
If an execution skill started this run as an independent subagent, drive here.
- Distinctive: line 43
Cleanup: Stop only what this run started.
- Very specific: line 44
Recipe upkeep: If the run inferred launch or test commands that worked, or found docs/verification.md wrong or missing a feature, list the …
“Common” is measured: kept by at least 6 in 10 of the 38 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
Verification
/review reads the diff and asks "is the code right?". /verification runs the work and asks "does it do what was asked?". It selects tests and real-path checks by verification scope. A passing suite alone does not prove a changed user flow works.
It also owns writing tests. A test is a verification step written as code, so the checks worth repeating become tests: end to end first, integration next, unit only in rare cases (testing.md).
Proof standards and the recipe shape are adapted from pstack's create-verification-skill, maintain-verification-skill, and prove-it-works (MIT). The no-fallback rule and the saved recipe follow Claude Code's /verify.
Read when
- Every run: doctrine.md.
- Picking checks: the ways to verify. Finding and running suites: repository test suites. Writing or updating the app recipe: the recipe template.
- UI checks: user-experience.md and
docs/design.md(ux:source-of-truth,ux:quality-floor). - Proposing or writing a test: testing.md and no-unrequested-tests.md.
- Reading terminals and logs: Verify terminals first.
- Before asking the user anything: Asking the user. Write reports in plain language.
Pick the target
- Started by an execution skill: use the parent's pinned revision/diff, Done when, rules that must stay true, slices, and test decisions. Follow that skill's review/verification ordering and return the handoff to that parent.
- Started by the user: verify the current work, a branch, or a PR checkout. Take Done when from the user, then the ticket or PR, then the diff. If none exists, ask once. A request to write tests accepts the tests it names; verify the behavior first, then code those checks.
Use Git sync only for operational synchronization. Otherwise size checks to the affected behavior and risk (scope); honor explicit full-verification requests.
Process
- Checks. Identify changed behavior, dependencies, Done when, and risk. Select the relevant repository test suites, lint/type/consuming checks, and ways to verify. Record a compact scope and reason, valid reused evidence, and meaningful exclusions. For full verification, inventory every configured suite.
- Recipe. Read
docs/verification.mdif it exists. Otherwise infer the launch and test commands from running terminals, workspace manifests, CI configuration, runner configuration, the README,Makefile,docker-compose, and env examples. - Launch or reuse. When selected checks need a running process, reuse the dev server,
convex dev, or worker shown in the terminals. For web startup/debugging, apply development-server logs before launch. Start only what those checks need, on a local or disposable environment (safe targets). Docs or Git checks need no app launch. - Doctor. Before a live drive and after any surprise, check its prerequisites read-only: process up, right build, owned port, and seed sign-in when applicable. Checks without a live process need no app doctor.
- Suites. Run selected checks with supported scoped commands, or full commands for broad/full verification. Avoid duplicate runs and reuse valid evidence. Use isolated runners only for independent expensive checks; otherwise run directly. Keep data local/disposable; record commands, exit status, counts, failures, unavailable checks, and scope not selected. Broaden for newly discovered impact or failures.
- Drive. Run each live check through the real path a user or system takes: the UI flow in a browser, the HTTP call, the CLI command, the job trigger.
- If an execution skill started this run as an independent subagent, drive here. This subagent did not write the code.
- For substantial or high-risk changes authored here, hand the drive to a fresh subagent with the selected checks and recipe when available. Focused low-risk checks can run here. Ask for evidence per check, not a summary; preserve an explicitly requested independent workflow.
- Judge. Reconcile every suite and live check against the inventory and pinned target, then mark each verified, failed, or inconclusive (outcomes). Read delegated evidence yourself. A missing, stale, or blocked check is not a pass.
- Code what is worth keeping. For each verified check that guards a rule likely to break silently and has no test yet, add it to the proposal, end to end first. Write only the tests the user named or asked for, following testing.md; otherwise propose and keep going.
- Cleanup. Stop only what this run started. Evidence survives cleanup.
- Recipe upkeep. If the run inferred launch or test commands that worked, or found
docs/verification.mdwrong or missing a feature, list the exact edits in the report and keep going. Write them when the user replies. - Hand off with the handoff.
If a parent already owns the next step
Return the handoff. The parent puts failed checks in the Fix backlog next to the /review findings and owns remediation. The parent carries the test proposal and recipe edits into its final report.
Anti-patterns
- Using a green test, type check, build, or diff as the only proof of a changed live flow
- Narrowing checks despite shared/high-risk impact or an explicit full-verification request
- Treating a skipped or blocked suite as passed
- Accepting a drive subagent's verdict without reading its evidence
- Driving unrelated live layers to make the manual pass look thorough
- Committing screenshots, traces, or scratch scripts
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.

