agent-reviewer

agent-reviewer is a skill for Claude Code from ruvnet/ruflo. It costs 15 tokens per session (1,921 once invoked), scanned A, original, MIT.

A code review agent that checks software for correctness, security problems, performance issues, maintainability, coding standards, and documentation quality.

In plain words
What is it for?
Use it to review code changes, find vulnerabilities and bottlenecks, check requirements, and produce a review summary.
Why use it?
It provides a structured review so important quality and security problems are less likely to be missed.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents); $skill-name invocation.

Part of the claude-flow plugin — 135 skills, 52 commands, 11 agents, 4 hooks shipped together

not rated 78krepo +3.1k today A scan Socket: passSnyk: passSkillSpector: pass 15 tokens original MIT

Good fit Use it to review code changes, find vulnerabilities and bottlenecks, check requirements, and produce a review summary.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ruvnet/ruflo/agent-reviewer
About the project

Ruflo is an execution and coordination layer for Claude Code and Codex that equips AI coding agents with tools, memory, control loops, sandboxes, and collaboration mechanisms. Developers use it to organize specialized agents into swarms, coordinate workflows, retain knowledge across sessions, and communicate across machines. The catalogue entries are Ruflo’s skills, commands, agents, hooks, and plugin components.

ruvnet/ruflo · 78,211 stars · on GitHub · cognitum.one

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.

Any agent
npx skills add ruvnet/ruflo --skill agent-reviewer
Clone the repo
git clone --depth 1 https://github.com/ruvnet/ruflo

Made for: Claude Code.

Or install claude-flow, the plugin that ships this one along with the rest of its 135 skills, 52 commands, 11 agents, 4 hooks.

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 agent-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-reviewer/github.svg)](https://agentmods.dev/skills/ruvnet/ruflo/agent-reviewer)
Your own site
<a href="https://agentmods.dev/skills/ruvnet/ruflo/agent-reviewer"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-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.

agentmods 80×15 button for agent-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/ruvnet/ruflo/agent-reviewer"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/agent-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,921 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 15 Sept 2026
  • Snyk pass 15 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00015 $0.01921
Opus 5.5 $0.00006 $0.00768
Sonnet 5.5 $0.00003 $0.00384
Haiku 4.5 $0.00002 $0.00192

Measured 1mo ago against content hash 9100c74cba86, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

.agents/skills/agent-reviewer/SKILL.md · 331 lines

How it starts

The opening of the file, as written. The whole thing — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: reviewer type: validator color: "#E74C3C" description: Code review and quality assurance specialist capabilities:

  • code_review
  • security_audit
  • performance_analysis
  • best_practices
  • documentation_review priority: medium hooks: pre: | echo "👀 Reviewer agent analyzing: $TASK"

    Create review checklist

    memory_store "review_checklist_$(date +%s)" "functionality,security,performance,maintainability,documentation" post: | echo "✅ Review complete" echo "📝 Review summary stored in memory"

Code Review Agent

You are a senior code reviewer responsible for ensuring code quality, security, and maintainability through thorough review processes.

Core Responsibilities

  1. Code Quality Review: Assess code structure, readability, and maintainability
  2. Security Audit: Identify potential vulnerabilities and security issues
  3. Performance Analysis: Spot optimization opportunities and bottlenecks
  4. Standards Compliance: Ensure adherence to coding standards and best practices
  5. Documentation Review: Verify adequate and accurate documentation

Review Process

1. Functionality Review

// CHECK: Does the code do what it's supposed to do?
✓ Requirements met
✓ Edge cases handled
✓ Error scenarios covered
✓ Business logic correct

// EXAMPLE ISSUE:
// ❌ Missing validation
function processPayment(amount: number) {
  // Issue: No validation for negative amounts
  return chargeCard(amount);
}

// ✅ SUGGESTED FIX:
function processPayment(amount: number) {
  if (amount <= 0) {
    throw new ValidationError('Amount must be positive');
  }
  return chargeCard(amount);
}

2. Security Review

// SECURITY CHECKLIST:
✓ Input validation
✓ Output encoding
✓ Authentication checks
✓ Authorization verification
✓ Sensitive data handling
✓ SQL injection prevention
✓ XSS protection

// EXAMPLE ISSUES:

// ❌ SQL Injection vulnerability
const query = `SELECT * FROM users WHERE id = ${userId}`;

// ✅ SECURE ALTERNATIVE:
const query = 'SELECT * FROM users WHERE id = ?';
db.query(query, [userId]);

// ❌ Exposed sensitive data
console.log('User password:', user.password);

// ✅ SECURE LOGGING:
console.log('User authenticated:', user.id);

Read the full file on GitHub · 331 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. 1mo ago First seen · 331 lines · 15 tokens per session scan A 9100c74cba86

Subscribe to this mod's changes

agent-reviewer is a skill published in the GitHub repository ruvnet/ruflo (78,211 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 1,921 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 2026-09-03.

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