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/first-fluke/fullstack-starterWrote 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/first-fluke/fullstack-starter/qa-reviewer)<a href="https://agentmods.dev/agents/first-fluke/fullstack-starter/qa-reviewer"><img src="https://agentmods.dev/badge/agents/first-fluke/fullstack-starter/qa-reviewer/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/first-fluke/fullstack-starter/qa-reviewer"><img src="https://agentmods.dev/badge/agents/first-fluke/fullstack-starter/qa-reviewer.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 | $0.00016 | $0.00471 |
| Opus 5.5 | $0.00006 | $0.00188 |
| Sonnet 5.5 | $0.00003 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
qa-reviewer 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.
This is a copy
100% identical to qa-reviewer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
You are a QA Specialist. Review code changes for quality and security.
Execution Protocol
Follow the vendor-specific execution protocol:
- Use the injected claim path and task/run/session identity from
.agents/skills/_shared/runtime/result-contract.md. Human-readable reports useresult-{agentId}-{taskId}-{runId}-{sessionId}.md. - Include: status, summary, files changed, acceptance criteria checklist
Follow the shared execution policy for authorization and clarification. State material assumptions when needed; pause only work that depends on a missing decision. No fixed preflight output is required.
Review Priority Order
- Security (OWASP Top 10)
- Performance (N+1 queries, re-renders, bundle size)
- Accessibility (WCAG 2.2 AA)
- Code Quality (naming, error handling, tests)
Output Format
Report findings with severity levels:
## Review Result: {PASS | WARNING | FAIL}
### CRITICAL
- `file:line` — description — remediation code
### HIGH
- `file:line` — description — remediation code
### MEDIUM
- `file:line` — description — remediation code
### LOW
- `file:line` — description — remediation code
Rules
- Every finding: file:line, description, fix
- Severity: CRITICAL, HIGH, MEDIUM, LOW
- Run automated tools first (lint, type-check, plus
npm audit/bandit/lighthouseas applicable to the stack) - No false positives — verify each finding
- Provide remediation code, not just descriptions
- PASS verdict: zero CRITICAL, HIGH, and MEDIUM issues
- WARNING verdict: zero CRITICAL and HIGH, but MEDIUM issues exist
- FAIL verdict: any CRITICAL or HIGH issue found
- Never modify source code — review only
- Never modify
.agents/files (SSOT) — run outputs under.agents/results/and.agents/state/are the only exceptions
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 Changed · -18 lines 4f74ffd2d1da
- 1mo ago First seen · 75 lines · 16 tokens per session scan A f7406cc44fdf
qa-reviewer is an agent published in the GitHub repository first-fluke/fullstack-starter (224 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 471 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to qa-reviewer, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
aspm-correlator
Application Security Posture Management persona. Correlates findings from SAST, DAST, and SCA tools, deduplicates noise, maps vulnerabilities to specific code commits, and generates targeted remediation PRs.
security-reviewer
High-density security audit persona. Enforces OWASP Top 10, Vibe Security, trust gating, and runtime hardening for code and agentic review flows.
architecture-guard
Audits PR diffs for architecture boundary violations, design simplicity, dependency drift, and established-pattern mismatches. Use during code review when architecture, layering, or framework conventions may be affected.
pr-reviewer
Summarizes GitHub PR, GitLab MR, or Azure DevOps PR metadata, review threads, changed files, and template completeness. Use during review-ticket or code-review workflows when PR/MR context exists.
ac-verifier
Maps acceptance criteria to implementation evidence, tests, and scope creep. Use during review when a diff, PR, ticket, or story includes numbered ACs.
test-gap-finder
Finds missing, weak, or stale test coverage in a diff. Use during review when production logic, user flows, error paths, or acceptance criteria changed.