code-review

code-review is a skill for Claude Code, Codex from 0xMassi/claude-skills. It costs 89 tokens per session (2,007 once invoked), scanned A, original, MIT.

A structured code-review process for checking branch changes across security, language rules, performance, and project conventions. It detects the programming languages in the changes and applies the matching checks.

In plain words
What is it for?
Use it to review a branch, pull request, or set of changes in languages such as TypeScript, JavaScript, Rust, Swift, and Go, with a chosen base branch when needed.
Why use it?
It gives reviews a consistent scope and helps catch problems that may be missed when looking only at functionality or only at one programming language.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review a branch, pull request, or set of changes in languages such as TypeScript, JavaScript, Rust, Swift, and Go, with a chosen base branch when needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0xmassi/claude-skills/code-review
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 0xMassi/claude-skills --skill code-review
Clone the repo
git clone --depth 1 https://github.com/0xMassi/claude-skills

Made for: Claude Code, Codex.

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-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xmassi/claude-skills/code-review/github.svg)](https://agentmods.dev/skills/0xmassi/claude-skills/code-review)
Your own site
<a href="https://agentmods.dev/skills/0xmassi/claude-skills/code-review"><img src="https://agentmods.dev/badge/skills/0xmassi/claude-skills/code-review/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 code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/0xmassi/claude-skills/code-review"><img src="https://agentmods.dev/badge/skills/0xmassi/claude-skills/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,007 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.
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 $0.00089 $0.02007
Opus 5 $0.00044 $0.01004
Sonnet 5 $0.00018 $0.00401
Haiku 4.5 $0.00009 $0.00201

Measured 9d ago against content hash 5571ae6e8570, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

code-review 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 9d 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.

code-review/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review

Run a structured review of branch changes covering security, language strictness, performance, and conventions.

Workflow

Step 1: Detect changes

# Default base branch is main. User can override: /code-review --base staging
BASE=${1:-main}
git fetch origin "$BASE" --quiet 2>/dev/null || true
MERGE_BASE=$(git merge-base "origin/$BASE" HEAD)
BRANCH=$(git rev-parse --abbrev-ref HEAD)

# Changed files and stats
git diff --name-status "$MERGE_BASE"..HEAD
git diff --stat "$MERGE_BASE"..HEAD
git log --oneline "$MERGE_BASE"..HEAD

Use $MERGE_BASE..HEAD for ALL diffs. Never use origin/main..HEAD directly -- it includes changes from other merged branches.

Step 2: Auto-detect languages

Map file extensions to rule sets:

Extension Rule set Skill
.ts, .tsx TypeScript typescript-strict
.rs Rust rust-strict
.swift Swift swift-strict
.go Go go-strict
.js, .mjs, .cjs JavaScript javascript-strict

Only apply rules for languages present in the diff.

Step 3: Run checks

Run in this order. For each finding, record file, line number, description, and rule ID.

3a. Security scan (security-audit-standard)

Scan the diff output (not the full repo) for:

  • Secrets: API keys, tokens, passwords, connection strings (sk-, ghp_, AKIA, -----BEGIN PRIVATE KEY)
  • Input validation: unvalidated user input reaching SQL, HTML, shell commands, file paths
  • Injection risks: string concatenation in queries, eval(), innerHTML, unsanitized template literals
  • Auth issues: missing auth checks on endpoints, weak JWT config, secrets in client-side code
  • File patterns: .env, *.pem, credentials.json committed
3b. Language strictness checks

Apply the top rules for each detected language (see Quick Reference Tables below). Read the changed lines and flag violations.

3c. Performance scan (performance-audit-standard)

Look for these anti-patterns in the diff:

Read the full file on GitHub · 222 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. 9d ago First seen · 222 lines · 89 tokens per session scan A 5571ae6e8570

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository 0xMassi/claude-skills (7 stars, last pushed 4mo ago), licensed MIT. It adds 89 tokens to every session and 2,007 once invoked, about $0.0004 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 2026-08-31.

Related

Other skills, from other repositories

refactor

Guides a refactor, cleanup, or restructure with the right decomposition. Use when the user asks to refactor, simplify, extract, or modernize code.

code-yeongyu/oh-my-openagent · 36 tokens

pre-publish-review

Nuclear-grade 12-agent pre-publish release gate. Runs /get-unpublished-changes to detect all changes since last npm release, spawns up to 10 ultrabrain agents for deep per-change analysis, invokes /review-work (orchestrator manual QA plus one gate reviewer) for holistic review, and 1 oracle for overall release…

code-yeongyu/oh-my-openagent · 161 tokens

work-with-pr

Full PR lifecycle in a fresh task-owned git worktree: implement via the ulw-loop skill with mandatory evidence-bound manual QA → reviewer-readable English PR → verification loop (CI + Cubic, where Cubic is skipped only when its quota is exhausted) → merge by default → worktree cleanup. Decomposes one task into the…

code-yeongyu/oh-my-openagent · 211 tokens

remove-ai-slops

Removes AI-generated code smells from branch changes or an explicit file list behind regression tests. Use when the user asks to clean up, deslop, or remove AI-slop patterns from recent changes.

code-yeongyu/oh-my-openagent · 45 tokens

review-work

Post-implementation gate review: run manual QA on the real surface yourself, then launch ONE gate reviewer (never a panel) to audit goal, constraints, code quality, security, missed context, and QA evidence. Use before a PR handoff or when the user explicitly asks to review completed work.

code-yeongyu/oh-my-openagent · 63 tokens

tech-debt-audit

Thorough, file-cited technical debt audit across 9 dimensions using AST-grep (tree-sitter), grep, LSP, and language-native tooling. Produces TECHDEBTAUDIT.md with severity, effort estimates, and prioritized fixes. Use when asked for codebase health check, tech debt audit, architecture review, code quality assessment…

code-yeongyu/oh-my-openagent · 127 tokens