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code-review

code-review is a skill for Claude Code, Codex from Major-Woolfi/Skills_for_AI-Agents. It costs 41 tokens per session (1,582 once invoked), scanned A, original, MIT.

A full code-audit workflow that looks for logic, interface, translation, security, and performance problems. It requires every relevant file to be read completely and reports findings without changing the code.

In plain words
What is it for?
Use it to review an entire project or bot and produce a categorized list of specific issues with file, function, and line details.
Why use it?
It reduces the chance that important problems or surrounding context are missed during a partial review.

Skill for Claude CodeCodex

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

not rated 2repo 1mo ago A scan 41 tokens original MIT

Good fit Use it to review an entire project or bot and produce a categorized list of specific issues with file, function, and line details.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/major-woolfi/skills_for_ai-agents/code-review
View source ↗ Major-Woolfi/Skills_for_AI-Agents
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 Major-Woolfi/Skills_for_AI-Agents --skill code-review
Clone the repo
git clone --depth 1 https://github.com/Major-Woolfi/Skills_for_AI-Agents

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/major-woolfi/skills_for_ai-agents/code-review/github.svg)](https://agentmods.dev/skills/major-woolfi/skills_for_ai-agents/code-review)
Your own site
<a href="https://agentmods.dev/skills/major-woolfi/skills_for_ai-agents/code-review"><img src="https://agentmods.dev/badge/skills/major-woolfi/skills_for_ai-agents/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/major-woolfi/skills_for_ai-agents/code-review"><img src="https://agentmods.dev/badge/skills/major-woolfi/skills_for_ai-agents/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,582 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 $0.00041 $0.01582
Opus 5 $0.00020 $0.00791
Sonnet 5 $0.00008 $0.00316
Haiku 4.5 $0.00004 $0.00158

Measured 9d ago against content hash aa531f4b820d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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.

SKILLS/code-review/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review — Полный аудит кода

Описание

Навык для проведения полной проверки кода проекта на наличие проблем в логике, UI/UX, переводах, безопасности и производительности.

Когда активировать

  • Пользователь просит «Проверь весь код», «Проверь бота», «Аудит кода» или аналогичную команду

Философия

Полная проверка — это не поверхностный взгляд, а чтение КАЖДОГО файла от первой до последней строки.

Принципы code-review

  1. Полное покрытие. Каждый файл должен быть прочитан полностью — без пропусков.
  2. Без правок без подтверждения. Только список проблем, без внесения изменений.
  3. Конкретика. Каждая проблема — с указанием файла, функции, строки и объяснением.
  4. Группировка. Проблемы выписываются по категориям: логика, UI/UX, переводы, безопасность, производительность.

Обязательное правило — полное покрытие файлов

ПРИ ЛЮБОЙ ПРОВЕРКЕ КАЖДЫЙ ФАЙЛ ДОЛЖЕН БЫТЬ ПРОЧИТАН ПОЛНОСТЬЮ — ОТ ПЕРВОЙ ДО ПОСЛЕДНЕЙ СТРОКИ БЕЗ ПРОПУСКОВ.

  • Если файл большой, читать его частями (по 1000 строк), но ни один блок не пропускать.
  • Зависимые и созависимые файлы проверять в той же полноте.
  • Не использовать grep или search вместо чтения — они могут пропустить контекст.
  • Не предполагать, что «код выглядит правильно» без чтения.
  • После чтения последней строки файла — переходить к следующему.
  • В ответе указывать точные номера строк или имена функций для каждой найденной проблемы.

Обязательный цикл

Шаг 1: Определение scope

Определить, какие файлы/директории проверять.

Шаг 2: Полное чтение файлов

Прочитать КАЖДЫЙ файл проекта полностью — от первой до последней строки.

Шаг 3: Проверка по категориям

Проверять каждый файл по чек-листу:

ЛОГИКА
  • Мёртвый и недостижимый код (когда после return, if False, неиспользуемые переменные/функции)
  • Состояния гонки и асинхронность (race conditions, blocking calls в async-коде, deadlocks, потеря исключений)
  • Обработка ошибок (глобальные except: pass, потеря stack trace, отсутствие try/finally)
  • Вычисления и математика (ошибки округления, деление на ноль, переполнение типов)
  • Состояния и жизненный цикл (утечка ресурсов, неправильная инициализация, half-initialized objects)
  • Данные и консистентность (несоответствие схемы БД, потеря данных, магические числа)
  • Зависимости и внешние сервисы (отсутствие timeout'ов, отсутствие retry logic, жёстко закодированные значения)
  • Безопасность (логическая — обход прав доступа, инъекции, утечка данных)

Read the full file on GitHub · 136 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 · 136 lines · 41 tokens per session scan A aa531f4b820d

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository Major-Woolfi/Skills_for_AI-Agents (2 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 1,582 once invoked, about $0.0002 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.

Code reviewSecurity
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