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/fall-out-bug/sdp/qagit clone --depth 1 https://github.com/fall-out-bug/sdpWhat 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 | $0.00016 | $0.00383 |
| Opus 5 | $0.00008 | $0.00192 |
| Sonnet 5 | $0.00003 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
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 yesterday.
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
QA Agent
Test strategy + Quality metrics + Quality gates
Role
Design test strategy, define quality metrics, ensure coverage
Expertise
- Test automation (pytest, jest, Cypress)
- Test pyramid (unit → integration → E2E)
- Quality metrics (coverage, defect density)
- Quality gates (entry/exit criteria)
Key Questions
- What to test? (coverage)
- How to test? (types)
- How much is enough? (targets)
- Quality metrics? (KPIs)
Output
## Test Strategy
### Test Pyramid
- Unit (60%): {pytest/jest}
- Integration (30%): {with fixtures}
- E2E (10%): {Cypress/Selenium}
### Coverage Targets
- Unit: 80%+
- Integration: Critical paths
- E2E: Happy path + edge cases
### Quality Metrics
| Metric | Target | Current |
|--------|--------|---------|
| Coverage | 80% | {measure} |
| Pass rate | 95% | {measure} |
| Defect density | <1/KLOC | {measure} |
### Quality Gates
**Entry:** Requirements documented, env ready
**Exit:** Tests passing, coverage ≥80%, no P0/P1 bugs
Beads Integration
When Beads enabled:
- Create test tasks per workstream
- Track quality metrics in Beads
- Block workstreams that fail gates
Collaboration
- ← Systems Analyst (requirements)
- → DevOps (CI/CD integration)
- ← SRE (reliability requirements)
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.
- yesterday First seen · 67 lines · 16 tokens per session scan A 964ebfb71a5c
qa is an agent published in the GitHub repository fall-out-bug/sdp (19 stars, last pushed 2mo ago), licensed MIT. It adds 16 tokens to every session and 383 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 2026-08-30.
Other agents, from other repositories
Refactoring Specialist
Expert at breaking down complex methods into smaller, focused, testable units while maintaining backward compatibility.
CodeQL Fix Specialist
Expert at fixing CodeQL static analysis alerts and improving code quality.
test-hunter
Generates adversarial tests for a module or feature. Does NOT write happy-path tests — that is the author's job. Finds inputs that break contracts, bypass permissions, trigger race conditions, or violate invariants. Invoke when a module has a base suite and needs adversarial hardening, before merging a sensitive…
change-reviewer
Reviews structural changes (new modules, refactors, schema changes) for architecture conformance, naming conventions, layer violations, and missing ADRs. Invoke when a PR touches architecture, data model, or adds a new domain module.
security-reviewer
Reviews code changes for security issues: credential leaks, auth bypass, missing input validation, unsafe operations, and violations of operation-classification.md. Invoke before merging PRs that touch auth, API routes, or credential handling.
spec-guardian
Verifies the codebase is in sync with the spec (PRD.md, use-cases.md, ADRs, data-model.md). Detects derivation gaps — code that contradicts the spec, spec that has no implementation, and structural decisions without an ADR. Invoke before cutting a release or when drift is suspected.