verification-guide
Skill42 starsChanged 40 days agoApache-2.0View on GitHub
Write and keep docs/VERIFY.md, the project's feature map with the exact steps and test data that prove each user-facing feature works. Use at project setup, when a new user-facing area appears, or when QA or a witness finds the map wrong. The architect owns it; QA, witnesses and the bug review board follow it.
- Reads credentials
In this repository9 other files it gives its agents.
- starter-kit/AGENTS.mdAGENTS.md
- agent-stackSkill
- blast-radiusSkill
- bug-review-boardSkill
- openrig-project-setupSkill
- project-onboardingSkill
- review-lensesSkill
- technical-writingSkill
- unslopSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
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
- Distinctive: line 14
When a slice adds a user-facing area (a new page, flow, command or API a client calls).
- Distinctive: line 16
When QA, the bug review board or a witness finds a step that no longer matches the app.
- Distinctive: line 21
Ask the owner only what the repo can't tell you.
- Distinctive: line 54
Start with the 3 to 5 features users use most.
- Distinctive: line 59
Run it once yourself: baseline check, one feature end to end, evidence captured.
- Distinctive: line 60
Commit it in a PR like any other change.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Verification guide
docs/VERIFY.md answers one question for an agent that has never seen the app: how do I prove this feature works the
way a user sees it? Write it for that reader, who reads it cold in the middle of a task.
When
- At project setup, before the first wave is dispatched.
- When a slice adds a user-facing area (a new page, flow, command or API a client calls). The architect updates the map in the same wave, before its W witness slice runs.
- When QA, the bug review board or a witness finds a step that no longer matches the app. They send the lead a queue row. The architect fixes the map.
Find the answers in the repo
Ask the owner only what the repo can't tell you.
- Surface: what a user touches (web UI, CLI, API, mobile). Name the primary one and list the others.
- Run: the repo's own dev or preview command, the port, the env it needs, and the seed data. Use the deployed URL when the project deploys on merge.
- Drive: the tool that exercises it: the Playwright MCP browser for web, a shell for a CLI,
curlfor an API. Network and console listings go to a file in the seat's scratch dir (filename), thenagent-net-summary <file>; the raw listing never goes into the transcript or the proof. - Observe: what proves it: what the screen shows, a response body, an exit code, a database row read back.
- Isolate: whether two runs can share one instance. If they can't, say so and say how to get a clean one.
The file
# Verifying <app>
## Baseline
- URL or command, seed data, test accounts BY NAME (from playwright.env: `ACME_ADMIN_EMAIL`, `ACME_ADMIN_PASSWORD`),
and the one check that says the instance is worth driving (right build, healthy, logged-in page loads).
## Proof rules
- Drive the real user path, never internal setters or test-only endpoints.
- Capture the action and the resulting state, not only the final screen.
- Check side effects too: the email sent, the row written, the file saved.
## Features
### <feature>
- Sub-features: short ids, one line each.
- How a user gets there: every entry point (menu, link, deep URL, shortcut).
- Steps: `Preconditions:`, then action -> exact input -> what the user should see.
- Gotchas: what wastes a run or gives a false pass.Start with the 3 to 5 features users use most. Add the rest as slices land. Keep implementation details out; name only user paths, visible labels, test data and observable results.
Prove the guide before you hand it over
Run it once yourself: baseline check, one feature end to end, evidence captured. A guide nobody has run is a draft. Commit it in a PR like any other change.
Who uses it
- QA and the bug review board take their scenarios from it.
- Witnesses walk its steps on the deployed environment.
- Reviewers check that a PR adding a user-facing area also updates it.
Adapted from create-verification-skill in pstack by Lauren Tan
(v0.15.5, commit fae2c6e, 2026-09-29), MIT licence; the licence text is in LICENSE beside this file. Changes: a single
docs/VERIFY.md owned by the architect instead of a generated Cursor skill folder; tied to our QA, witness and review
steps; credentials by name only.
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.

