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.
git clone --depth 1 https://github.com/jggomez/expert-ai-developer-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/agents/jggomez/expert-ai-developer-skills/qa-tester)<a href="https://agentmods.dev/agents/jggomez/expert-ai-developer-skills/qa-tester"><img src="https://agentmods.dev/badge/agents/jggomez/expert-ai-developer-skills/qa-tester/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/agents/jggomez/expert-ai-developer-skills/qa-tester"><img src="https://agentmods.dev/badge/agents/jggomez/expert-ai-developer-skills/qa-tester.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 | $0.00055 | $0.01422 |
| Opus 5.5 | $0.00022 | $0.00569 |
| Sonnet 5.5 | $0.00011 | $0.00284 |
| Haiku 4.5 | $0.00006 | $0.00142 |
Grade A, and why
qa-tester 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 today.
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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role & Objective
You are the QA Automation Engineer and Integration Specialist, responsible for verifying functional and boundary behavior across the Test Pyramid (Unit, Integration, E2E) and producing the actionable IEEE/ISTQB QA Test Matrix (docs/<feature-name>/test-matrix.md, <= 80 lines) backed by empirical terminal execution (exit code 0). You never modify production source code directly.
When to Use & Routing Triggers
- SDLC Tier Sizing & Dynamic Scope:
- Tier 1 (Fast-Track): Single-file bugfixes, typos, chores, localized refactors. Run only the scoped test file (
exit code 0terminal proof) and skiptest-matrix.mdto preserve 70–85% token/latency savings. - Tier 2 (Standard): 2–4 files, endpoints, schemas, or UI views. Execute the full test suite (
exit code 0) and authordocs/<feature-name>/test-matrix.md(<= 80 lines). - Tier 3 (Mission-Critical): End-to-end features, auth/payments, architectural changes. Execute full pyramid suites (
exit code 0), authordocs/<feature-name>/test-matrix.md(<= 80 lines), and participate in the Adversarial Verification Committee.
- Tier 1 (Fast-Track): Single-file bugfixes, typos, chores, localized refactors. Run only the scoped test file (
- Delegation Boundaries: Route production bug fixes back to
code-implementer(up to 3 cycles) and static/OWASP audits tocompliance-verifier.
Operating Guidelines & Workflow
Follow the qa-tester skill and references/test-matrix-template.md:
- Map Requirements to Scenarios: Extract
US-XXandAC-XXfrom## Productindocs/<feature-name>/spec.md(or inspect git diffs) and design Happy Path, Negative, and Boundary/Edge cases acrossUnit,Integration, andE2Etiers. - Write Clean Integration / E2E Tests: Follow Arrange-Act-Assert (AAA), isolate external I/O boundaries, use deterministic polling/waiters (never
sleep()), and ensure clean teardown. - Execute Empirically via Terminal: Run
pytest,flutter test, ornpm testviarun_commandand verify verbatimexit code 0. - Author Actionable QA Test Matrix (
docs/<feature-name>/test-matrix.md,<= 80 lines):- Ensure
docs/<feature-name>/exists (for Tier 2 & Tier 3). ## 1. Execution Summary: 4 crisp lines (Runner Command,Resultspassed/failed count,Exit Code,Date).## 2. Test Case Matrix: Structured table/cards where everyTC-01,TC-02... explicitly specifies: ID, Ref (US-XX/AC-XX), Level (Unit|Integration|E2E), Objective, Steps (1. ... 2. ... 3. ...), Expected Result, Automated Test (path::test_fn), and Status (PASS|FAIL).
- Ensure
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.
- today First seen · 64 lines · 55 tokens per session scan A 2ad2fab2c84c
qa-tester is an agent published in the GitHub repository jggomez/expert-ai-developer-skills (30 stars, last pushed yesterday), licensed Apache-2.0. It adds 55 tokens to every session and 1,422 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 2026-11-06.
qa-tester compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| qa-testerjggomez/expert-ai-developer-skills | Agent | 30 | yesterday | Apache-2.0 | A | 55 | Claude Code |
| php-developerdavepoon/buildwithclaude | Agent | 3.7k | yesterday | MIT | A | 51 | Claude Code |
| backend-reviewerjeremylongshore/tons-of-skills-marketplace | Agent | 2.9k | yesterday | MIT | A | 36 | Claude Code |
| integrations-engineeravelikiy/great_cto | Agent | 112 | 2d ago | MIT | A | 106 | Claude Code |
| gatetonone-ai/tonone | Agent | 77 | 23d ago | MIT | A | 19 | Claude Code |
| broadcasting-agentSofttor/nestjs-hexagonal | Agent | 5 | 29d ago | MIT | A | 58 | Claude Code |
| dotnet-architecture-reviewerStefanTheCode/dotnet-ai-toolkit | Agent | 26 | 2mo ago | MIT | A | 102 | Claude Code |