test-automation
Skill1 starsChanged 4 months agoMITView on GitHub
Use when writing, structuring, or debugging automated tests — Playwright/Selenium E2E suites, pytest test design, page object models, CI test integration, and deciding what's worth automating.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- AxlZero21/Skillstheir own version, first seen Nov 8, 2026
- upex-galaxy/agentic-qa-boilerplatetheir own version, first seen Nov 7, 2026
- Marina-Gajego/qa-skillstheir own version, first seen Nov 1, 2026
- mejbaurbahar/software-tester-skillstheir own version, first seen Oct 13, 2026
- StephanSergio/vibe-stacktheir own version, first seen Jun 20, 2026
Used with
Projects with it also use exploratory-testing.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
testified-ossSkillexploratory-testing
Guide exploratory testing sessions including charter creation, session-based testing, heuristics application, and finding documentation. Use when planning exploratory testing, conducting test sessions, or documenting discoveries.
Also in 3 projects that use this
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- upex-galaxy/agentic-qa-boilerplate★ 26same name
- Marina-Gajego/qa-skills★ 5same name
- AxlZero21/Skills★ 1same name
- mejbaurbahar/software-tester-skills★ 1same name
- StephanSergio/vibe-stack★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository24 other files it gives its agents.
- accessibility-testingSkill
- ai-ml-testingSkill
- api-testingSkill
- autonomous-qa-orchestrationSkill
- bug-reportingSkill
- chaos-resilience-testingSkill
- chatbot-voice-agent-testingSkill
- cicd-testingSkill
- cloud-infrastructure-testingSkill
- contract-testingSkill
- database-testingSkill
- fagunSkill
- functional-testingSkill
- llm-testingSkill
- manual-testingSkill
- mobile-testingSkill
- observability-testingSkill
- performance-testingSkill
- qa-code-intelligenceSkill
- qa-fundamentalsSkill
- regression-testingSkill
- security-testingSkill
- test-data-engineeringSkill
- visual-testingSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 4 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Don't automate (or automate last):
- Very specific: line 26
Locators: prefer role/text/testid locators over CSS/XPath — they survive markup churn.
- Very specific: line 27
Waits: never use hard sleep(). Use Playwright's auto-waiting or explicit wait_for_selector / wait_for_load_state("networkidle").
- Very specific: line 35
Use pytest -x --tb=short while iterating.
- Very specific: line 39
Run it 5–10x locally (pytest --count=10 or a loop) to confirm flakiness vs.
- Distinctive: line 40
Check for hard waits/timing assumptions, unseeded random data, shared state between tests, animation transitions not waited on.
- Distinctive: line 41
If it's revealing a real race condition in the app, that's a product bug — report it, don't just harden the test to hide it.
- Distinctive: line 45
Keep smoke suite under a few minutes.
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Test Automation
Environment (this machine)
- Python venv:
~/qa-agent/.venv/bin/python— has pytest, playwright, requests, locust. - Dispatcher:
qaCLI (qa test,qa smoke,qa regression,qa security,qa report). - Chrome MCP tools are available for live-browser automation/inspection alongside scripted Playwright.
What to automate (and what not to)
Automate:
- Regression-prone flows run repeatedly (login, checkout, core CRUD).
- Anything that gates a release (smoke suite).
- API contract checks — cheap to write, fast to run, high signal.
Don't automate (or automate last):
- One-off exploratory checks.
- Highly visual/subjective UI polish — use screenshots + manual review instead.
- Flows still actively changing week to week (automation will just be a maintenance drag).
Playwright test structure
- Page Object Model: one class per page/component encapsulating locators + actions. Tests read like user stories, not selector soup.
- Locators: prefer role/text/testid locators over CSS/XPath — they survive markup churn. Add
data-testidto the app if none exist and you own the code. - Waits: never use hard
sleep(). Use Playwright's auto-waiting or explicitwait_for_selector/wait_for_load_state("networkidle"). - Isolation: each test should set up its own data (via API/fixtures) and not depend on execution order or another test's leftover state.
- Assertions: assert on the outcome (DB state, API response, final DOM state), not intermediate loading states.
pytest conventions
- One fixture per external dependency (auth session, seeded user, API client) — compose via fixture injection, not copy-paste setup.
- Parametrize equivalence-class/boundary cases with
@pytest.mark.parametrizeinstead of near-duplicate test functions. - Mark slow/E2E tests (
@pytest.mark.e2e) separately from fast unit/API tests so CI can run tiers independently. - Use
pytest -x --tb=shortwhile iterating; full traceback +-rasummary for CI runs.
Flaky test triage
A test that fails intermittently is a bug in the test (or a real race condition) — don't just retry-until-green:
- Run it 5–10x locally (
pytest --count=10or a loop) to confirm flakiness vs. one-off environment issue. - Check for hard waits/timing assumptions, unseeded random data, shared state between tests, animation transitions not waited on.
- If it's revealing a real race condition in the app, that's a product bug — report it, don't just harden the test to hide it.
CI integration
- Fail the build on any Blocker/Critical-severity assertion failure (see [[bug-reporting]] severity scale).
- Keep smoke suite under a few minutes; push full regression to a separate longer-running job.
- Persist screenshots/traces/videos on failure (
~/qa-agent/reports/) — a failing assertion without evidence wastes the next debugging session.
Load/perf scripts
For scripted load testing use locust from the same venv — see [[performance-testing]] for methodology.
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Your trail
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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.

