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itsofficialadiitsofficialadi/boundiff/.agents/skills/acceptance-qa/SKILL.md

acceptance-qa

Skill0 starsChanged 24 days agoMITView on GitHub

Check user-visible behavior against acceptance criteria using an available local app, staging system, API, or CLI. Prefer read-only smoke tests; never mutate production or external data without authorization.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    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
  1. Distinctive:

    Use disposable accounts and test data where possible.

    line 13

≈ “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

Acceptance QA

Tests can pass while the workflow is broken. Exercise the behavior as a user would, with evidence from the environment actually available.

  1. Confirm the build/version, target URL or local process, environment, credentials policy, and acceptance criteria. If the target is unclear, do not guess a production endpoint.
  2. Map the shortest happy path, one meaningful failure path, and a recovery or retry path when applicable. Prefer high-signal cases to broad click tours.
  3. Select available tools: browser automation, HTTP client, CLI, or a manual checklist. Do not claim a browser test was performed if no browser is available.
  4. Use disposable accounts and test data where possible. Navigation and observation are safe defaults; writes, emails, payments, account creation, destructive actions, and production interactions require appropriate authorization.
  5. For each case record action, expected outcome, observed result, environment, and evidence (log, response, screenshot, or exact output when available).
  6. Classify failures as reproduced defects, environment blockers, or unverified assumptions. Do not silently repair during QA; hand off reproducible findings to $bug-fix-verification.

Output

A short pass/fail/not-run matrix, build identity, environment, findings with reproduction steps, and untested paths. A local pass is not production validation.

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Your trail

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