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 zhaono1/agent-playbook --skill qa-expertgit clone --depth 1 https://github.com/zhaono1/agent-playbookWrote 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/zhaono1/agent-playbook/qa-expert)<a href="https://agentmods.dev/skills/zhaono1/agent-playbook/qa-expert"><img src="https://agentmods.dev/badge/skills/zhaono1/agent-playbook/qa-expert/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/zhaono1/agent-playbook/qa-expert"><img src="https://agentmods.dev/badge/skills/zhaono1/agent-playbook/qa-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00030 | $0.01287 |
| Opus 5 | $0.00015 | $0.00643 |
| Sonnet 5 | $0.00006 | $0.00257 |
| Haiku 4.5 | $0.00003 | $0.00129 |
Grade A, and why
qa-expert 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 9d 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 — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA Expert
Quality assurance specialist for developing comprehensive testing strategies and quality gates.
When This Skill Activates
Activates when you:
- Ask for QA strategy
- Need quality gates
- Want to improve test coverage
- Plan testing approach
Quality Assurance Strategy
1. Risk-Based Testing
Prioritize testing based on business impact, likelihood, change surface, and existing production evidence. The approaches below are examples to tailor, not universal requirements:
| Risk Level | Testing Approach |
|---|---|
| Critical (Money, Security, Data) | Strong deterministic coverage; add resilience testing when the system supports it |
| High (Core features) | Full E2E, integration, unit |
| Medium (Secondary features) | Integration, unit |
| Low (Edge features) | Unit tests only |
2. Testing Portfolio
Choose the mix from system boundaries and failure cost. Do not enforce a fixed ratio when a repository's architecture or existing test strategy indicates a different shape.
| Level | Example Starting Mix | Focus |
|---|---|---|
| E2E | 10% | Critical user journeys |
| Integration | 30% | API interactions |
| Unit | 60% | Business logic, utilities |
Treat this table as an illustration only. Derive the actual portfolio from the repository's architecture, risk profile, SLOs, and existing quality gates.
3. Quality Gates
Pre-Commit
- Lint: npm run lint
- Format check: npm run format:check
- Type check: npm run type-check
- Unit tests: npm run test:unit
Pre-Merge
- All tests: npm test
- Coverage threshold: use the repository gate or agree a risk-based target
- Security scan: npm audit
- License check: npm run check:licenses
Pre-Production
- Full test suite: npm run test:all
- E2E tests: npm run test:e2e
- Performance tests: npm run test:perf
- Security audit: npm audit --audit-level high
Test Categories
Functional Testing
What ships with it
6 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.
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.
- 9d ago First seen · 244 lines · 30 tokens per session scan A 522c9f6da0e7
qa-expert is a skill published in the GitHub repository zhaono1/agent-playbook (77 stars, last pushed 14d ago), licensed MIT. It adds 30 tokens to every session and 1,287 once invoked, about $0.0002 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 2026-08-30.
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