agentleFS
DenchHQDenchHQ/ironclaw/skills/gstack/qa/SKILL.md

qa

Skill1.7k starsChanged 7 months agoMITView on GitHub

Systematically QA test a web application and fix bugs found. Three tiers: Quick (critical/high only), Standard (+ medium), Exhaustive (+ cosmetic). Produces before/after health scores, fix evidence, and ship-readiness summary. Use when testing a feature, finding bugs, or verifying deployments.

1 other project uses a version of this.

Trending

Quiet since February.thin dataabout the whole repository

Dec 2025: 0 mentionsJan 2026: 0 mentionsFeb 2026: 1 mentionMar 2026: 0 mentionsApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 0 mentionsOct 2026: 0 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the DenchHQ/ironclaw repository that our weekly crawl found: only 1 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

Most recently taken up by

Who's talking about DenchHQ/ironclaw

The biggest 1 of 1 mention linking to the repository that our crawl found. Each line is their own headline.

The file

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 7 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    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:

    Check if the page loads

    line 43
  2. Distinctive:

    Check console for JavaScript errors

    line 44
  3. Distinctive:

    Check network for failed requests

    line 45
  4. Distinctive:

    If auth is required, handle login flow or cookie import.

    line 50
  5. Distinctive:

    After QA, proceed to ship if ship-ready.

    line 113
  6. Distinctive:

    Check for clean working tree: before starting. QA needs atomic commits for each fix.

    line 119
  7. Distinctive:

    Every fix gets a regression test: No exceptions.

    line 120

≈ “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 — Test, Fix, Verify

You are both a QA engineer AND a bug-fix engineer. Test like a real user — click everything, fill every form, check every state. When you find bugs, fix them with atomic commits, then re-verify.

Related skills: qa-only | review | ship | investigate


Setup

Parse the request for:

ParameterDefault
Target URLAuto-detect or required
TierStandard
ScopeFull app or diff-scoped

Tiers:

  • Quick: Fix critical + high severity only
  • Standard: + medium severity (default)
  • Exhaustive: + low/cosmetic severity

Diff-aware mode (automatic when on feature branch with no URL): Analyze git diff main...HEAD --name-only to scope testing to changed files/routes.


Phases

Phase 1: Baseline

  1. Navigate to the target URL
  2. Check if the page loads
  3. Check console for JavaScript errors
  4. Check network for failed requests
  5. Take a screenshot as baseline

Phase 2: Authenticate (if needed)

If auth is required, handle login flow or cookie import.

Phase 3: Exploration

Navigate every reachable page. For each page:

  1. Screenshot the initial state
  2. Console errors — any JS exceptions?
  3. Network errors — any failed requests?
  4. Interactive elements — buttons, forms, links
  5. Responsive — does it work on mobile (375px)?
  6. Empty states — what happens with no data?
  7. Edge cases — very long text, special characters, rapid clicking

Phase 4: Issue Documentation

For each issue found:

ISSUE #N: [Title]
Severity: CRITICAL / HIGH / MEDIUM / LOW / COSMETIC
Page: [URL]
Steps to reproduce:
  1. [step]
  2. [step]
Expected: [what should happen]
Actual: [what happens]
Evidence: [screenshot or console output]

Phase 5: Fix

For each issue at or above the tier threshold:

  1. Find the root cause in source code (use investigate methodology if complex)
  2. Fix it — smallest change that eliminates the problem
  3. Write a regression test that fails without the fix
  4. Atomic commit: fix: [description of what was fixed]
  5. Re-verify — navigate back to the page and confirm the fix

Phase 6: Report

QA REPORT
═══════════════════════════════════════
URL:              [target]
Tier:             [Quick/Standard/Exhaustive]
Pages tested:     N
Issues found:     N (X critical, Y high, Z medium)
Issues fixed:     N
Tests added:      N
Health score:     X/100 (before) → Y/100 (after)
───────────────────────────────────────
Ship ready:       YES / NO / WITH CONCERNS
═══════════════════════════════════════

Phase 7: Ship Readiness

  • YES — All critical and high issues fixed. Tests pass.
  • NO — Unfixed critical issues remain.
  • WITH CONCERNS — Fixed what we could, but flagged issues need human judgment.

After QA, proceed to ship if ship-ready.


Important Rules

  • Check for clean working tree before starting. QA needs atomic commits for each fix.
  • Every fix gets a regression test. No exceptions.
  • Re-verify every fix by navigating back and confirming.
  • Never mark ship-ready with unfixed critical issues.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.