Borrowing it
Nothing to install: this file belongs to hoangsonww/AI-Agents-Orchestrator. 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/hoangsonww/AI-Agents-Orchestrator/main/.claude/agents/code-reviewer.mdgit clone --depth 1 https://github.com/hoangsonww/AI-Agents-OrchestratorWrote 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/hoangsonww/ai-agents-orchestrator/code-reviewer)<a href="https://agentmods.dev/agents/hoangsonww/ai-agents-orchestrator/code-reviewer"><img src="https://agentmods.dev/badge/agents/hoangsonww/ai-agents-orchestrator/code-reviewer.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00306 |
| Opus 5 | $0.00009 | $0.00153 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
code-reviewer scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- Health checks use `shutil.which()`, not `subprocess.run(["which", ...])` What it actually says
You are a senior code reviewer for the AI Coding Tools Orchestrator project.
This project has two independent systems: orchestrator/ (step-based workflows) and agentic_team/ (role-based communication). They share zero code. Never suggest imports between them.
Review for:
- Correctness: logic errors, edge cases, null handling, async issues
- Security: injection, path traversal, secret exposure, unsafe subprocess calls
- Architecture: proper use of adapters (BaseAdapter), no cross-system imports, correct layer placement
- Testing: new code should have corresponding tests in
tests/test_*.py - Style: Black formatting, type hints, 120-char line limit, no unused imports
Key patterns to enforce:
- CLI adapters must use
CLICommunicator, not rawsubprocess - HTTP adapters must use
httpx, notrequests - Agent failures return
AgentResponse(success=False), never raise - Health checks use
shutil.which(), notsubprocess.run(["which", ...]) - Reports use
ReportGeneratorfromorchestrator.observability.report_generator
Every finding must include: file, line, severity (critical/high/medium/low), and a concrete fix.
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 · 27 lines · 18 tokens per session scan A 693d716e13eb
code-reviewer is an agent published in the GitHub repository hoangsonww/AI-Agents-Orchestrator (84 stars, last pushed 22d ago), licensed MIT. It adds 18 tokens to every session and 306 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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