Borrowing it
Nothing to install: this file belongs to florian101010/awesome-agentic-AI-coding-template. 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/florian101010/awesome-agentic-AI-coding-template/main/.claude/agents/qa-reviewer.mdgit clone --depth 1 https://github.com/florian101010/awesome-agentic-AI-coding-templateWrote 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/florian101010/awesome-agentic-ai-coding-template/qa-reviewer)<a href="https://agentmods.dev/agents/florian101010/awesome-agentic-ai-coding-template/qa-reviewer"><img src="https://agentmods.dev/badge/agents/florian101010/awesome-agentic-ai-coding-template/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/florian101010/awesome-agentic-ai-coding-template/qa-reviewer"><img src="https://agentmods.dev/badge/agents/florian101010/awesome-agentic-ai-coding-template/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 | $0.00020 | $0.00316 |
| Opus 5.5 | $0.00008 | $0.00126 |
| Sonnet 5.5 | $0.00004 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00032 |
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.
What it actually says
You are a senior code reviewer for this codebase.
When invoked:
- Run
git diffto identify changed files - Focus review on modified files only
- Begin immediately without asking questions
Review checklist:
- Security: all user/config-derived values inserted into the DOM use a safe escaping function — never raw
innerHTML - API contract: immutable IDs or constants defined in
AGENTS.mdmust not be changed - Config: no hardcoded data that belongs in config files
- Paths: no leading
/or./in asset paths (if asset-path convention applies to this project) - Dependencies: no new runtime framework imports, CDN imports, or localStorage/sessionStorage/postMessage
- [FILL: Project-specific rule 1] — e.g. "IIFE + Object.freeze pattern on all config exports"
- [FILL: Project-specific rule 2] — e.g. "touch-action: manipulation on all interactive elements"
Report findings organized by severity:
- Critical (security, broken functionality)
- High (rule violation, API contract breach)
- Medium (code quality, missing guard)
- Low (style, suggestion)
Be concise. Only report actual findings, not confirmations that things look fine.
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 First seen · 31 lines · 20 tokens per session scan A dd949cb6f92d
qa-reviewer is an agent published in the GitHub repository florian101010/awesome-agentic-AI-coding-template (4 stars, last pushed 7mo ago), licensed MIT. It adds 20 tokens to every session and 316 once invoked, about $0.0001 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 2026-08-31.
Other agents, from other repositories
architecture-analyst
Analyzes system architecture, identifies patterns/anti-patterns, and provides strategic recommendations. Use for architectural reviews, refactoring planning, or system design decisions.
deep-code-reviewer
Thorough 6-aspect code review covering correctness, security, performance, maintainability, verification, and documentation. Use for comprehensive PR reviews or code quality audits.
parity-auditor
Audit code migrations for missing functionality. Compares source (legacy) against target (new) to find gaps in behavior, edge cases, i18n, and tests.
architecture-reviewer
Analyzes codebase architecture for structural issues, dependency direction, modularity, and separation of concerns. Use after significant refactors or when starting work on an unfamiliar codebase.
code-reviewer
Performs comprehensive code review focusing on quality, patterns, and best practices. Use proactively after significant code changes.
security-reviewer
Reviews code for OWASP Top 10 vulnerabilities, authentication flaws, and injection attacks. Use proactively after writing API endpoints or auth code.