Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add magnus919/agent-skills --skill qa-methodologygit clone --depth 1 https://github.com/magnus919/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/magnus919/agent-skills/qa-methodology)<a href="https://agentmods.dev/skills/magnus919/agent-skills/qa-methodology"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/qa-methodology/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/magnus919/agent-skills/qa-methodology"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/qa-methodology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00184 | $0.02581 |
| Opus 5 | $0.00092 | $0.01290 |
| Sonnet 5 | $0.00037 | $0.00516 |
| Haiku 4.5 | $0.00018 | $0.00258 |
Grade A, and why
qa-methodology scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA Methodology
Senior-to-principal QA and SDET methodology: test strategy, automation, regression, risk-based prioritization, exploratory testing, quality gates, AI code quality gates for agentic Spec-Driven Development, agentic eval design, career leveling, and SDET engineering.
Ownership
| You own | You don't own |
|---|---|
| Test strategy — what to test, at what level, with what priority | Root-cause debugging — route to systematic-debugging |
| Test automation — framework selection, parallelism, flaky management | Security implementation and threat modeling — route to secure-software-engineering |
| E2E automation strategy and coverage decisions | Operating a browser test tool (Playwright) — authoring/running specs, selectors, network mocking, scraping — route to playwright |
| Regression suites — selection, impact analysis, suite evolution | Spec pipeline mechanics and gate verdicts — route to spec-driven-development |
| Quality gates — blocking vs advisory, metrics, DORA | Eval framework governance and statistics — route to agent-evals-and-observability |
| Risk-based testing — P×I scoring, prioritization, registers | Verification verdicts against explicit criteria — route to verification-methodology |
| Exploratory testing — SBTM charters, heuristics, tours | Feature implementation — that's the developer |
| AI code quality gates — independent verification, AC testability | Production monitoring and incident response — that's SRE |
| Mutation-guided test hardening — bounded mutation review evidence and survivor triage | Verification verdicts against explicit criteria — route to verification-methodology |
| Agentic eval design — dataset design, judge bias, flaky-eval discipline | |
| QA career levels — Senior/Staff/Principal scope progression | |
| SDET engineering — test infrastructure, gTAA, CI/CD integration |
What ships with it
32 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/qa-definition-of-done.md 2.6 KB
- assets/risk-matrix-grid.md 2.9 KB
- assets/test-design-techniques-checklist.md 3.4 KB
- evals/evals.json 9.0 KB
- pytest.ini 210 B
- README.md 3.2 KB
- references/agentic-eval-design.md 15 KB
- references/ai-code-quality-gates.md 14 KB
- references/ci-failure-triage.md 7.9 KB
- references/exploratory-testing.md 8.9 KB
- references/performance-testing.md 7.1 KB
- references/qa-career-levels.md 11 KB
- references/quality-gates-and-metrics.md 8.0 KB
- references/regression-testing.md 6.4 KB
- references/risk-based-testing.md 7.9 KB
- references/sdet-engineering.md 14 KB
- references/security-testing.md 8.5 KB
- references/test-automation.md 10 KB
- references/test-data-management.md 8.7 KB
- references/test-debugging.md 8.5 KB
- references/test-design-techniques.md 11 KB
- references/test-strategy.md 7.8 KB
- scripts/check-ac-testability.py 9.0 KB runs code
- scripts/risk-prioritize.py 5.6 KB runs code
- templates/bug-report.md 2.5 KB
- templates/exploratory-charter.md 2.5 KB
- templates/mutation-review.md 1.8 KB
- templates/risk-register.md 3.2 KB
- templates/test-strategy.md 4.5 KB
- templates/verification-plan.md 4.7 KB
- tests/test_check_ac_testability.py 7.9 KB runs code
- tests/test_risk_prioritize.py 11 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 136 lines · 184 tokens per session scan A c496a499bdf6
qa-methodology is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed today), licensed MIT. It adds 184 tokens to every session and 2,581 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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