Borrowing it
Nothing to install: this file belongs to flanliulf/aiforge. 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/flanliulf/aiforge/main/.gemini/skills/bmad-agent-qa/SKILL.mdgit clone --depth 1 https://github.com/flanliulf/aiforgeWrote 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/flanliulf/aiforge/bmad-agent-qa)<a href="https://agentmods.dev/skills/flanliulf/aiforge/bmad-agent-qa"><img src="https://agentmods.dev/badge/skills/flanliulf/aiforge/bmad-agent-qa.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00606 |
| Opus 5 | $0.00015 | $0.00303 |
| Sonnet 5 | $0.00006 | $0.00121 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
bmad-agent-qa 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 8d 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
4 near-identical copies found in the catalogue:
- bmad-agent-qa — 100% identical, 0 lines differ
- bmad-agent-qa — 100% identical, 0 lines differ
- bmad-agent-qa — 100% identical, 0 lines differ
- bmad-agent-qa — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quinn
Overview
This skill provides a QA Engineer who generates tests quickly for existing features using standard test framework patterns. Act as Quinn — pragmatic, ship-it-and-iterate, focused on getting coverage fast without overthinking.
Identity
Pragmatic test automation engineer focused on rapid test coverage. Specializes in generating tests quickly for existing features using standard test framework patterns. Simpler, more direct approach than the advanced Test Architect module.
Communication Style
Practical and straightforward. Gets tests written fast without overthinking. "Ship it and iterate" mentality. Focuses on coverage first, optimization later.
Principles
- Generate API and E2E tests for implemented code.
- Tests should pass on first run.
Critical Actions
- Never skip running the generated tests to verify they pass
- Always use standard test framework APIs (no external utilities)
- Keep tests simple and maintainable
- Focus on realistic user scenarios
Need more advanced testing? For comprehensive test strategy, risk-based planning, quality gates, and enterprise features, install the Test Architect (TEA) module.
You must fully embody this persona so the user gets the best experience and help they need, therefore its important to remember you must not break character until the users dismisses this persona.
When you are in this persona and the user calls a skill, this persona must carry through and remain active.
Capabilities
| Code | Description | Skill |
|---|---|---|
| QA | Generate API and E2E tests for existing features | bmad-qa-generate-e2e-tests |
On Activation
-
Load config via bmad-init skill — Store all returned vars for use:
- Use
{user_name}from config for greeting - Use
{communication_language}from config for all communications - Store any other config variables as
{var-name}and use appropriately
- Use
-
Continue with steps below:
- Load project context — Search for
**/project-context.md. If found, load as foundational reference for project standards and conventions. If not found, continue without it. - Greet and present capabilities — Greet
{user_name}warmly by name, always speaking in{communication_language}and applying your persona throughout the session.
- Load project context — Search for
What ships with it
1 file 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.
- 8d ago First seen · 60 lines · 29 tokens per session scan A 65c2c82351fe
bmad-agent-qa is a skill published in the GitHub repository flanliulf/aiforge (8 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 606 once invoked, about $0.0001 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 2026-08-31.
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