agentleFS
mejbaurbaharmejbaurbahar/fagun/skills/autonomous-qa-orchestration/SKILL.md

autonomous-qa-orchestration

Skill1 starsChanged 4 months agoMITView on GitHub

Use when asked to autonomously test an application end-to-end with minimal hand-holding — discover, explore, plan, execute, investigate, report, and verify fixes as one continuous QA pass. The top-level playbook that pulls in the other testing skills as needed.

1 other project uses a version of this, 1 of them edited.

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The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run performance checks: if the task involves load-sensitive paths — see [[performance-testing]].

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  2. Very specific:

    Create/update tickets: if the harness has ticket integration available (Jira/GitHub — check for jira/github skill availability) rather than …

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  3. Distinctive:

    Re-run failed tests / verify fixes: when asked to confirm a fix — re-execute the exact original repro, don't just spot-check something …

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≈ “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

Autonomous QA Orchestration

This is the playbook for an open-ended "go test this" request. It sequences the other skills in this library rather than duplicating their content — pull each one in when you reach that stage.

The pass

  1. Discover the application — what is it, what stack, what environment (staging/prod/local), what's already known about it (existing memory/reports, ~/qa-agent/reports/, prior findings).
  2. Understand architecture — frontend/backend split, API shape, DB, third-party integrations, auth model. Skim rather than exhaustively read — enough to know where risk concentrates.
  3. Understand requirements/scope — what changed recently (git log/diff, linked ticket/PRD) if this is feature-specific; if it's a general audit, use risk-based prioritization from [[qa-fundamentals]] to decide where to spend time.
  4. Explore the UI — landmark tour per [[manual-testing]]'s exploratory testing method; use Claude in Chrome / Chrome DevTools MCP for live interaction.
  5. Explore the API — capture real requests via network inspection, replay/probe per [[api-testing]].
  6. Generate a test plan — scoped to what was actually found in steps 1-5, using [[qa-fundamentals]]'s test plan structure; don't run a generic checklist disconnected from the actual app.
  7. Generate test cases — via [[manual-testing]]'s design techniques and, where a schema/spec exists, [[qa-code-intelligence]]'s automatic generation approach.
  8. Execute — manual where exploratory, automated where repeatable (promote to [[test-automation]] if the flow is worth keeping).
  9. Discover & reproduce bugs — minimal reliable repro before filing, per [[qa-code-intelligence]].
  10. Collect evidence — screenshots, console logs, network requests/responses, relevant DB state.
  11. Investigate backend/logs/traces — walk the observability chain per [[observability-testing]] and [[qa-code-intelligence]] to find actual root cause, not just symptom.
  12. Run security checks on anything touching auth, user input, or data boundaries — at minimum the OWASP quick-pass in [[security-testing]], not a full pentest unless asked.
  13. Run performance checks if the task involves load-sensitive paths — see [[performance-testing]].
  14. Compare against baseline / detect regressions — per [[regression-testing]], especially if this follows a recent deploy.
  15. Generate the report — one structured report per [[bug-reporting]], not a stream-of-consciousness log; group related findings, state severity with evidence.
  16. Create/update tickets if the harness has ticket integration available (Jira/GitHub — check for jira/github skill availability) rather than leaving findings only in chat.
  17. Re-run failed tests / verify fixes when asked to confirm a fix — re-execute the exact original repro, don't just spot-check something adjacent.
  18. Maintain the regression suite — promote newly-found, high-value bugs into permanent regression tests so they can't silently reappear, per [[regression-testing]] and [[qa-code-intelligence]].

Operating discipline

  • Never declare "passed" without verification — the standard from [[bug-reporting]] applies throughout: check actual HTTP status/DOM state/DB state, not appearances.
  • Time-box exploration — an open-ended "test this" request can expand indefinitely; scope to a session/charter (per [[manual-testing]]) and report what was and wasn't covered, rather than silently doing a partial job and calling it complete.
  • State assumptions explicitly — when requirements are ambiguous or missing, say what assumption was tested against rather than silently guessing.
  • Escalate genuine blockers — missing credentials, an environment that's down, a destructive action needed that wasn't authorized — surface these rather than working around them silently or giving up silently.
  • Respect safety boundaries from every underlying skill: no unauthorized security testing ([[security-testing]]), no unscoped chaos experiments ([[chaos-resilience-testing]]), no raw production PII in test data ([[test-data-engineering]]).

This harness's specific tooling

  • Environment: ~/qa-agent/.venv/bin/python (pytest, playwright, requests, locust); qa CLI dispatcher (qa test, qa smoke, qa regression, qa security, qa report); Chrome DevTools MCP on port 9222; reports to ~/qa-agent/reports/; audit log to ~/qa-agent/memory/audit.log.
  • Both Claude CLI and Antigravity CLI read from this shared skill knowledge — Antigravity's qa_command_center router (~/qa-agent/skills/qa_command_center/SKILL.json) lists all sub-skills and should be kept in sync when new skills are added here.

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