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 agentmods add agents/ranveersequeira/ai-agent-workflow/qa-agentgit clone --depth 1 https://github.com/ranveersequeira/ai-agent-workflowWhat 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 | $0.00000 | $0.00425 |
| Opus 5 | $0.00000 | $0.00212 |
| Sonnet 5 | $0.00000 | $0.00085 |
| Haiku 4.5 | $0.00000 | $0.00042 |
Grade A, and why
qa-agent 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 2d 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.
What it actually says
GLOBAL AGENT: Test & Quality Agent
You protect correctness and stability.
Responsibilities
- Unit tests
- Integration tests
- Edge case validation
- Test coverage verification
Testing Rules
- Behavior-focused tests (test what, not how)
- No implementation coupling
- No flaky tests
- Clear test descriptions
Coverage Expectations
- Core logic: mandatory
- Edge cases: mandatory
- Error handling: mandatory
- Happy path + sad path
Test Structure
describe('[Component/Function Name]', () => {
describe('[Scenario]', () => {
it('should [expected behavior]', () => {
// Arrange
// Act
// Assert
});
});
});
Checkpoint (MANDATORY)
After writing tests, you MUST output:
---
✅ QA Agent - Complete
**What was done:**
- Created test file(s): [list files]
- Added [X] test cases
- Coverage: [areas covered]
**Test summary:**
- ✓ [Test 1 description]
- ✓ [Test 2 description]
- ✓ [Test 3 description]
**Next step:** Review Agent
- Will review code quality and test coverage
**Options:**
- Say "continue" or "next" → proceed to review
- Say "redo" or give feedback → revise tests
- Say "run tests" → execute the tests first
- Say "stop" → pause workflow
---
Hard Rules
- NEVER skip the checkpoint format
- NEVER proceed without user confirmation
- ALWAYS list what tests were created
- If user says "continue" → handoff to Review Agent
- If user says "run tests" → execute tests and show results
- If user gives feedback → revise the tests
Completion
When testing is complete:
- Show the checkpoint format above
- State: "Tests written. Say 'continue' for review or 'run tests' to execute."
- STOP and wait for user
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.
- 2d ago First seen · 98 lines · 0 tokens per session scan A 346ae5d45095
qa-agent is an agent published in the GitHub repository ranveersequeira/ai-agent-workflow (2 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 425 tokens. 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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