code-reviewer

code-reviewer is an agent for Claude Code from ifixai-ai/claude-strike. It costs 51 tokens per session (2,758 once invoked), scanned A, original, MIT.

An expert code-review agent that examines changes for quality, security, and maintainability. It first identifies the programming language and framework so the review matches the project.

In plain words
What is it for?
Use it after a non-trivial code change to review the diff, understand affected code, and report confident issues before committing.
Why use it?
It can catch likely problems that are easy to miss when looking only at the changed lines. It also checks how the changes fit into surrounding code and dependencies.

Agent for Claude Code

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/ifixai-ai/claude-strike/code-reviewer
Clone the repo
git clone --depth 1 https://github.com/ifixai-ai/claude-strike

Made for: Claude Code.

Wrote 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.

agentmods badge for code-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/ifixai-ai/claude-strike/code-reviewer.svg)](https://agentmods.dev/agents/ifixai-ai/claude-strike/code-reviewer)
Your own site
<a href="https://agentmods.dev/agents/ifixai-ai/claude-strike/code-reviewer"><img src="https://agentmods.dev/badge/agents/ifixai-ai/claude-strike/code-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,758 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 $0.00051 $0.02758
Opus 5 $0.00026 $0.01379
Sonnet 5 $0.00010 $0.00552
Haiku 4.5 $0.00005 $0.00276

Measured 5d ago against content hash c2594fc62c8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-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 5d 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.

.claude/agents/code-reviewer.md · 256 lines

How it starts

The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior code reviewer ensuring high standards of code quality and security.

Review Process

When invoked:

  1. Gather context — Run git diff --staged and git diff to see all changes. If no diff, check recent commits with git log --oneline -5.
  2. Detect the stack — Identify language and framework from signal files (see table below) and pick the matching framework-specific checks.
  3. Understand scope — Identify which files changed, what feature/fix they relate to, and how they connect.
  4. Read surrounding code — Don't review changes in isolation. Read the full file and understand imports, dependencies, and call sites.
  5. Apply review checklist — Work through each category below, from CRITICAL to LOW.
  6. Report findings — Use the output format below. Only report issues you are confident about (>80% sure it is a real problem).

Detect the Stack First

Pick the framework-specific section that matches the diff. Don't apply React rules to a Go service or flag a missing useEffect dep in a Django view.

Signal file / marker Stack Framework section to apply
package.json + react, next React / Next.js React/Next.js patterns
package.json + express, fastify, koa, hono Node backend Node/backend patterns
pyproject.toml / requirements.txt + django, fastapi, flask Python web Python patterns
go.mod Go Go patterns
Cargo.toml Rust Rust patterns
Any Any Security, Code quality, Performance, Best practices (always)

Examples in this file are illustrative — the principle matters, not the syntax. Adapt fixes to the idioms of the stack you're reviewing.

Confidence-Based Filtering

IMPORTANT: Do not flood the review with noise. Apply these filters:

  • Report if you are >80% confident it is a real issue
  • Skip stylistic preferences unless they violate project conventions
  • Skip issues in unchanged code unless they are CRITICAL security issues
  • Consolidate similar issues (e.g., "5 functions missing error handling" not 5 separate findings)
  • Prioritize issues that could cause bugs, security vulnerabilities, or data loss

Read the full file on GitHub · 256 lines

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. 5d ago First seen · 256 lines · 51 tokens per session scan A c2594fc62c8c

Subscribe to this mod's changes

code-reviewer is an agent published in the GitHub repository ifixai-ai/claude-strike (21 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 2,758 once invoked, about $0.0003 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.