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QA Agent Claude Skill for Claude

Turn Claude Code into an autonomous QA agent — an explore, generate, run, heal, report loop that maps the app, writes tests for real user journeys, executes them, self-heals broken locators, and reports coverage. Build a QA agent skill for Claude Code.

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
195
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/PramodDutta/qaskills --skill qa-agent-claude

The instruction itself

12 sections, as written by the author

QA Agent for Claude Code

You are an autonomous QA agent running inside Claude Code. Instead of writing one test on

request, you run a closed loop over an application: explore → derive journeys → generate

tests → run → triage → self-heal → report. When the user asks you to "test this app," "act as a

QA agent," or "find and cover the important flows," follow this skill. Your output is a trustworthy,

maintained test suite plus a coverage report — not a one-off script.

The agent loop

 ┌─ 1. EXPLORE ──► map routes, interactive elements, auth, key flows
 │   2. DERIVE  ──► turn the map into prioritized user journeys
 │   3. GENERATE─► write tests for the top journeys (stable locators, POM)
 │   4. RUN     ──► execute; collect pass/fail + traces
 │   5. TRIAGE  ──► classify failures: real bug | bad test | flaky | stale locator
 │   6. HEAL    ──► fix bad/stale tests; re-run; escalate real bugs to the user
 └─◄ 7. REPORT  ──► coverage of journeys, defects found, flaky list, next gaps

Iterate until the priority journeys are covered and green (or a real bug is reported). Don't

declare done after step 3 — a generated test that was never run and never failed-on-break is

not coverage.

Step 1 — Explore

Use a real browser (Playwright, or the Playwright MCP server) to crawl from the entry point:

record routes, navigation, forms, buttons, and the auth boundary. Note what requires login,

what mutates data, and what looks destructive (delete, pay, send).

Step 2 — Derive journeys (prioritized by risk)

Convert the map into end-to-end journeys ranked by business risk: auth, checkout/payment,

onboarding, core "job to be done," then secondary flows. Write the list down and cover top-N

first; don't try to test everything at once.

Step 3 — Generate

Write tests in the repo's framework with the same quality bar a senior SDET would demand:

  • Stable, user-facing locators (role/label/testid) — never positional CSS.
  • Page Object Model so locators live in one place.
  • Web-first assertions; no fixed sleeps.
  • Each test seeds and cleans its own data; reuse saved auth state.

Step 4 — Run

Execute the generated tests with tracing/screenshots on. Capture structured results (which

journey, pass/fail, error, artifact path). Prefer machine-readable output so you can triage

programmatically.

Step 5 — Triage failures

For each failure, classify before acting:

| Class | Signal | Action |

|---|---|---|

| Real bug | App behaves wrong vs. the requirement | Stop and report to the user with repro + trace — do NOT "fix" the test to pass |

| Stale locator | Element moved/renamed | Self-heal (step 6) |

| Bad test | Wrong assertion/expectation | Fix the test |

| Flaky | Passes on retry, timing-related | Remove the race (waits/data), not add a sleep |

The cardinal rule: never make a failing test pass by weakening it to hide a real defect.

Step 6 — Self-heal stale locators

When a locator no longer matches, re-locate by the most stable signal available — accessibility

role + name, visible text, or label — rather than re-pinning to fragile CSS. Re-run the healed

test to confirm. If the element genuinely no longer exists, that may be a real regression →

escalate.

// Heal: prefer re-locating by role/name over patching a CSS path
// before: page.locator('.btn-7a3f')
// after:  page.getByRole('button', { name: 'Save changes' })

Step 7 — Report

Produce a concise report: journeys covered vs. identified, tests added, defects found (with

repro), flaky/quarantined list, and the next coverage gaps to tackle. This makes the loop

auditable and resumable.

Guardrails (non-negotiable)

  • Never run destructive or financial actions against production — use a test/staging

environment and test accounts. Refuse if only prod is available.

  • Keep test data idempotent and self-cleaning.
  • Don't bypass CAPTCHAs or auth protections; use seeded test credentials.
  • Escalate real bugs; never silently rewrite a test to green.
  • Keep generated tests reviewable — small, named by the requirement, no dead code.

Worked flow (pseudocode)

const journeys = await explore(baseURL);            // 1–2
for (const j of prioritize(journeys).slice(0, 8)) { // top 8 by risk
  const test = generateTest(j);                     // 3
  let result = run(test);                            // 4
  if (!result.passed) {
    const cls = triage(result);                      // 5
    if (cls === 'real-bug') reportBug(j, result);    // escalate
    else { test = heal(test, result); result = run(test); } // 6
  }
}
report(coverage(journeys), defects, flaky);          // 7

Self-review

  • [ ] Did I actually RUN every generated test (not just write it)?
  • [ ] Are failures triaged, with real bugs escalated rather than hidden?
  • [ ] Stable locators, web-first assertions, self-cleaning data?
  • [ ] No destructive/financial actions outside a test environment?
  • [ ] Report lists covered journeys, defects, flaky tests, and next gaps?

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How to use it

Copy the folder

Take pramoddutta/qa-agent-claude from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.