agentleFS
odytriceodytrice/metaskills/skills/qa/SKILL.md

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.

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
  1. Very specific:

    Use only Playwright MCP browser_* tools: no test scripts/specs, node -e, npx playwright, or browser_run_code_unsafe.

    line 16
  2. Distinctive:

    Never put secrets, tokens, cookies, OTPs, passwords, API keys, raw auth headers, PII, or customer data into issues, chat, logs, or …

    line 19
  3. Distinctive:

    Prefer non-interactive login, in order: e2e saved storage-state.

    line 23
  4. Distinctive:

    Verify the authenticated element/route in § Agent Login.

    line 24
  5. Distinctive:

    Ask only for missing required URL (no documented staging), account/role, or focus beyond smoke testing.

    line 28
  6. Very specific:

    Context: Read AGENTS.md, relevant docs and issue template.

    line 32

≈ “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.

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

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, or browser_run_code_unsafe. browser_evaluate may 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 127.0.0.1 for 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

  1. 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-raise GraphQL query); search related issues.
  2. Browser. browser_navigate preserves session. Get refs with browser_snapshot (browser_find for large pages); use click/type/fill/key/hover/select tools. Settle with browser_wait_for, never sleeps. Capture browser_take_screenshot, browser_console_messages, browser_network_requests evidence. Use tracing/storage-state tools if exposed for traces/role isolation; otherwise clean each role via browser_close, re-navigation, re-authentication. Record URL, role, browser, timestamp, seed data.
  3. 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.
  4. 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.
  5. File via issue-raise, which owns template/Type/labels/assignee/board: enabled Type Bug, existing labels (prefer bug), 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.
  6. Report workflows, issue URLs, unfiled reproducible bugs/reasons, non-reproducible observations, and limits (unreached pages, missing credentials, unavailable services).

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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.