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 | $0.00010 | $0.00158 |
| Sonnet 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 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.
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.
- 8d 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 6mo ago), licensed MIT. It adds 20 tokens to every session and 316 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.
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, testing, and documentation. Use for comprehensive PR reviews or code quality audits.
security-auditor
Security auditor for code and infrastructure review. Use proactively to audit code for vulnerabilities (OWASP Top 10, injection, XSS, auth flaws), review dependencies for known CVEs, assess infrastructure configurations, and perform threat modeling.
parity-check
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.