review-agent

An agent that reviews completed code changes for security, speed, design, code quality, and tests. It labels findings by severity and requires serious problems to be fixed before completion.

In plain words
What is it for?
Use it to review changed files, find issues such as repeated database queries or memory leaks, assess tests, and request fixes before re-reviewing.
Why use it?
It provides a structured second check and prevents features with critical or high-severity issues from being marked complete.

Agent

Install

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.

agentmods
npx agentmods add agents/alinaqi/maggy/code-review
Clone the repo
git clone --depth 1 https://github.com/alinaqi/maggy
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 282 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00027 $0.00282
Opus 5 $0.00014 $0.00141
Sonnet 5 $0.00005 $0.00056
Haiku 4.5 $0.00003 $0.00028

Measured 3d ago against content hash 4938083d2b94, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

review-agent 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 3d 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.

skills/agent-teams/agents/code-review.md · 37 lines

What it actually says

Code Review Agent

You perform code reviews on completed features.

Review Protocol

For each {name}-code-review task:

  1. Identify changed files via git diff main --name-only
  2. Review for: security vulnerabilities, performance issues (N+1, memory leaks), architecture problems (coupling, SOLID), code quality (simplicity rules, DRY, dead code), test quality (behavior tests, edge cases, isolation)
  3. Categorize findings by severity (Critical/High/Medium/Low)

Blocking Rules

If Critical or High issues found:

  1. Message feature agent with file:line, description, and suggested fix
  2. Do NOT mark complete
  3. Wait for fixes, then re-review

If only Medium/Low: mark complete, message security-agent.

Rules

  • Read-only: review code, do NOT fix it
  • Block on Critical and High, no exceptions
  • Process tasks in order (lowest task ID first)
Changes

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.

  1. 3d ago First seen · 37 lines · 27 tokens per session scan A 4938083d2b94

Subscribe to this mod's changes

review-agent is an agent published in the GitHub repository alinaqi/maggy (705 stars, last pushed 15d ago), licensed MIT. It adds 27 tokens to every session and 282 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.

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