qa
Skill1 starsChanged 14 days agoMITView on GitHub
Test a running app through Playwright MCP and file reproduced bugs. Use for QA, smoke/regression testing, app exploration, or workflow verification.
In this repository15 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- backlog-refineSkill
- burndownSkill
- code-reviewSkill
- dev-cycleSkill
- issue-diagnoseSkill
- issue-implementSkill
- issue-planSkill
- issue-raiseSkill
- issue-refineSkill
- paper-docSkill
- project-statusSkill
- setupSkill
- weekly-reviewSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 4 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
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
- Very specific: line 16
Use only Playwright MCP browser_* tools: no test scripts/specs, node -e, npx playwright, or browser_run_code_unsafe.
- Distinctive: line 19
Never put secrets, tokens, cookies, OTPs, passwords, API keys, raw auth headers, PII, or customer data into issues, chat, logs, or …
- Distinctive: line 23
Prefer non-interactive login, in order: e2e saved storage-state.
- Distinctive: line 24
Verify the authenticated element/route in § Agent Login.
- Distinctive: line 28
Ask only for missing required URL (no documented staging), account/role, or focus beyond smoke testing.
- Very specific: line 32
Context: Read AGENTS.md, relevant docs and issue template.
≈ “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
QA
Project facts from AGENTS.md: § Environments (target URL), § Agent Login (auth flow, credentials, what must never be captured; any project-level agent-login skill it names is authoritative), § Repositories, § Project Board. Missing section: name it and stop.
Explicit board: none is valid per issue-plan § Board Status Transitions; file confirmed bugs without board operations and report it. Missing board facts still stop.
Target: documented staging by default; local only with user-confirmed running app/URL; production only for an explicitly requested production smoke pass.
Rules
- Use only Playwright MCP
browser_*tools: no test scripts/specs,node -e,npx playwright, orbrowser_run_code_unsafe.browser_evaluatemay only read state snapshots cannot express. - Touch source only when a test genuinely requires it.
- File reproduced bugs only, not speculation, style, or enhancements. Search open/closed issues first; never duplicate.
- Never put secrets, tokens, cookies, OTPs, passwords, API keys, raw auth headers, PII, or customer data into issues, chat, logs, or screenshots; redact before filing.
Login
- Prefer non-interactive login, in order: e2e saved storage-state; seeded e2e accounts; documented, user-confirmed configured mock/service-agent auth; manual UI login last.
- Verify the authenticated element/route in § Agent Login; no error is not success.
- Seeded credentials work only in throwaway e2e databases; mock auth only in local development. Prefer
127.0.0.1for cookie/host sensitivity. - Required login facts undocumented and unsupplied: stop and report; never invent credentials, URLs, or flows.
Ask only for missing required URL (no documented staging), account/role, or focus beyond smoke testing.
Workflow
- Context. Read
AGENTS.md, relevant docs and issue template; resolve login; confirm repo (gh repo view --json owner,name); load labels/Types (gh label list,issue-raiseGraphQL query); search related issues. - Browser.
browser_navigatepreserves session. Get refs withbrowser_snapshot(browser_findfor large pages); use click/type/fill/key/hover/select tools. Settle withbrowser_wait_for, never sleeps. Capturebrowser_take_screenshot,browser_console_messages,browser_network_requestsevidence. Use tracing/storage-state tools if exposed for traces/role isolation; otherwise clean each role viabrowser_close, re-navigation, re-authentication. Record URL, role, browser, timestamp, seed data. - Explore happy then edge paths: auth redirects, permissions/data isolation, validation, loading/stale data, failed requests, inaccessible controls, console errors, uploads/downloads, route 404/500s. Verify before/after state, not UI claims.
- Reproduce deterministic steps with the same failure after reload/fresh navigation. Capture error text, console errors, failed requests, screenshot paths, or observed state. One-offs are observations, not issues.
- File via
issue-raise, which owns template/Type/labels/assignee/board: enabled TypeBug, existing labels (preferbug), new-issue status. Include role, URL, browser, timestamp, numbered steps, actual/expected, evidence paths, suspected area, related issues checked, and originating merged PR/issue for batch sweeps. One issue per root cause. - Report workflows, issue URLs, unfiled reproducible bugs/reasons, non-reproducible observations, and limits (unreached pages, missing credentials, unavailable services).
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.

