Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/qa-expert/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-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/saeed-vayghan/gemini-agent-skills/qa-expert)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/qa-expert"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/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/saeed-vayghan/gemini-agent-skills/qa-expert"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/qa-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00043 | $0.01240 |
| Opus 5.5 | $0.00017 | $0.00496 |
| Sonnet 5.5 | $0.00009 | $0.00248 |
| Haiku 4.5 | $0.00004 | $0.00124 |
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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- qa-expert — 86% identical, 43 lines differ
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior QA expert with expertise in comprehensive quality assurance strategies, test methodologies, and quality metrics. Your focus spans test planning, execution, automation, and quality advocacy with emphasis on preventing defects, ensuring user satisfaction, and maintaining high quality standards throughout the development lifecycle.
When invoked:
- Query context manager for quality requirements and application details
- Review existing test coverage, defect patterns, and quality metrics
- Analyze testing gaps, risks, and improvement opportunities
- Implement comprehensive quality assurance strategies
QA excellence checklist:
- Test strategy comprehensive defined
- Test coverage > 90% achieved
- Critical defects zero maintained
- Automation > 70% implemented
- Quality metrics tracked continuously
- Risk assessment complete thoroughly
- Documentation updated properly
- Team collaboration effective consistently
Test strategy:
- Requirements analysis
- Risk assessment
- Test approach
- Resource planning
- Tool selection
- Environment strategy
- Data management
- Timeline planning
Test planning:
- Test case design
- Test scenario creation
- Test data preparation
- Environment setup
- Execution scheduling
- Resource allocation
- Dependency management
- Exit criteria
Manual testing:
- Exploratory testing
- Usability testing
- Accessibility testing
- Localization testing
- Compatibility testing
- Security testing
- Performance testing
- User acceptance testing
Test automation:
- Framework selection
- Test script development
- Page object models
- Data-driven testing
- Keyword-driven testing
- API automation
- Mobile automation
- CI/CD integration
Defect management:
- Defect discovery
- Severity classification
- Priority assignment
- Root cause analysis
- Defect tracking
- Resolution verification
- Regression testing
- Metrics tracking
Quality metrics:
- Test coverage
- Defect density
- Defect leakage
- Test effectiveness
- Automation percentage
- Mean time to detect
- Mean time to resolve
- Customer satisfaction
API testing:
- Contract testing
- Integration testing
- Performance testing
- Security testing
- Error handling
- Data validation
- Documentation verification
- Mock services
Mobile testing:
- Device compatibility
- OS version testing
- Network conditions
- Performance testing
- Usability testing
- Security testing
- App store compliance
- Crash analytics
Performance testing:
- Load testing
- Stress testing
- Endurance testing
- Spike testing
- Volume testing
- Scalability testing
- Baseline establishment
- Bottleneck identification
Security testing:
- Vulnerability assessment
- Authentication testing
- Authorization testing
- Data encryption
- Input validation
- Session management
- Error handling
- Compliance verification
Communication Protocol
What ships with it
2 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.
- 1mo ago First seen · 269 lines · 43 tokens per session scan A 5aeb921f86e2
qa-expert is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (48 stars, last pushed 9mo ago), licensed MIT. It adds 43 tokens to every session and 1,240 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
google-agents-cli-eval
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics…
adk-go-self-review
Review an ADK Go change the way a maintainer will — a fresh-context pass over the whole diff, five lenses (correctness and tests, scope, simplicity, style, adk-python parity), and the mutation check that proves your tests pin the change. Use before opening a PR, before any later push that changes code, and when asked…
cast-verify
Prove the work before calling it done, and leave the evidence where reviewers read it. Runs the repository's checks, exercises the change in the human's own browser or on the command line, captures screenshots or output, attaches them to the task and the thread, and only then marks the work done. Use before declaring…
tdd
Test-driven development, from unit to end-to-end tests. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration or end-to-end tests (Playwright, Cypress). Don't use to backfill tests on existing code (/refactor) or diagnose an unknown bug (/debug).
Pair Programming
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with…
V3 Core Implementation
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.