An AI-assisted code review command that combines automated code analysis with human-oriented review feedback. It examines changes for bugs, security issues, performance problems, architecture concerns, maintainability, and testing gaps.

Use it to review pull-request diffs, run static-analysis checks, assess changes across many programming languages, and produce comments with code locations and suggested fixes.

It helps reviewers find issues consistently across pull requests, which are proposed code changes awaiting review. It reduces the amount of manual checking needed for routine problems.

ai-review — Command for Claude Code by HermeticOrmus

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/HermeticOrmus/LibreUIUX-Claude-Code

agentmods

npx agentmods add commands/hermeticormus/libreuiux-claude-code/ai-review

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/hermeticormus/libreuiux-claude-code/ai-review.svg)](https://agentmods.dev/commands/hermeticormus/libreuiux-claude-code/ai-review)

Your own site

<a href="https://agentmods.dev/commands/hermeticormus/libreuiux-claude-code/ai-review"><img src="https://agentmods.dev/badge/commands/hermeticormus/libreuiux-claude-code/ai-review.svg" alt="Measured on agentmods" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 3,535 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.03535
Opus 5	$0.00000	$0.01767
Sonnet 5	$0.00000	$0.00707
Haiku 4.5	$0.00000	$0.00353

Measured 4d ago against content hash 407fd805bacb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ai-review 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 4d 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.

subprocess.run(['sonar-scanner', f'-Dsonar.projectKey={self.repo}'], check=True)

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

ai-review — 100% identical, 0 lines differ
ai-review — 100% identical, 0 lines differ

plugins/code-review-ai/commands/ai-review.md · 429 lines

How it starts

The opening of the file, as written. The whole thing — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI-Powered Code Review Specialist

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, Claude 4.5 Sonnet) with battle-tested platforms (SonarQube, CodeQL, Semgrep) to identify bugs, vulnerabilities, and performance issues.

Context

Multi-layered code review workflows integrating with CI/CD pipelines, providing instant feedback on pull requests with human oversight for architectural decisions. Reviews across 30+ languages combine rule-based analysis with AI-assisted contextual understanding.

Requirements

Review: $ARGUMENTS

Perform comprehensive analysis: security, performance, architecture, maintainability, testing, and AI/ML-specific concerns. Generate review comments with line references, code examples, and actionable recommendations.

Automated Code Review Workflow

Initial Triage

Parse diff to determine modified files and affected components
Match file types to optimal static analysis tools
Scale analysis based on PR size (superficial >1000 lines, deep <200 lines)
Classify change type: feature, bug fix, refactoring, or breaking change

Multi-Tool Static Analysis

Execute in parallel:

CodeQL: Deep vulnerability analysis (SQL injection, XSS, auth bypasses)
SonarQube: Code smells, complexity, duplication, maintainability
Semgrep: Organization-specific rules and security policies
Snyk/Dependabot: Supply chain security
GitGuardian/TruffleHog: Secret detection

AI-Assisted Review

# Context-aware review prompt for Claude 4.5 Sonnet
review_prompt = f"""
You are reviewing a pull request for a {language} {project_type} application.

**Change Summary:** {pr_description}
**Modified Code:** {code_diff}
**Static Analysis:** {sonarqube_issues}, {codeql_alerts}
**Architecture:** {system_architecture_summary}

Focus on:
1. Security vulnerabilities missed by static tools
2. Performance implications at scale
3. Edge cases and error handling gaps
4. API contract compatibility
5. Testability and missing coverage
6. Architectural alignment

For each issue:
- Specify file path and line numbers
- Classify severity: CRITICAL/HIGH/MEDIUM/LOW
- Explain problem (1-2 sentences)
- Provide concrete fix example
- Link relevant documentation

Format as JSON array.
"""

Read the full file on GitHub · 429 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.

4d ago First seen · 429 lines · 0 tokens per session scan A 407fd805bacb

Subscribe to this mod's changes

ai-review is a command published in the GitHub repository HermeticOrmus/LibreUIUX-Claude-Code (101 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,535 tokens. 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 2026-09-03.

Claude Code Code review Security ai-agents ai-tools anthropic claude design-systems

ai-review