A code-security audit command that checks a project against the rules in its SECURITY.md file. It reviews common risks such as unsafe input, broken access controls, injection attacks, and data leaks.

It is for reviewing authentication, authorization, input validation, SQL queries, browser output, request protection, and secret handling.

It helps find security weaknesses before they reach users, including problems that may be easy to miss during ordinary development.

How AI-agents-incubator/n8n-pilot configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to AI-agents-incubator/n8n-pilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/AI-agents-incubator/n8n-pilot/main/.claude/commands/security.md

Clone the repo

git clone --depth 1 https://github.com/AI-agents-incubator/n8n-pilot

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/ai-agents-incubator/n8n-pilot/security/github.svg)](https://agentmods.dev/commands/ai-agents-incubator/n8n-pilot/security)

Your own site

<a href="https://agentmods.dev/commands/ai-agents-incubator/n8n-pilot/security"><img src="https://agentmods.dev/badge/commands/ai-agents-incubator/n8n-pilot/security/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/ai-agents-incubator/n8n-pilot/security"><img src="https://agentmods.dev/badge/commands/ai-agents-incubator/n8n-pilot/security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 687 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.

Model	Per session	Once invoked
Fable 5.1	$0.00007	$0.00687
Opus 5.5	$0.00003	$0.00275
Sonnet 5.5	$0.00001	$0.00137
Haiku 4.5	$0.00001	$0.00069

Measured 2mo ago against content hash 4dd65aa299b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

security 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 2mo 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/commands/security.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Проведи детальный аудит безопасности кода согласно SECURITY.md.

ВАЖНО: Сначала прочитай SECURITY.md для полного контекста!

Проверь следующее:

1. Валидация входных данных

Все пользовательские вводы валидируются на сервере
Используется типобезопасная валидация (Zod или подобное)
Проверяется длина строк
Проверяются типы данных
Проверяются форматы (email, URL, etc)

2. Аутентификация и авторизация

Проверка аутентификации в каждом Server Action
Проверка авторизации (user может делать операцию)
JWT токены проверяются
Session management корректен
Нет hardcoded credentials

3. SQL Injection

Используются параметризованные запросы
Нет конкатенации SQL строк
Используется ORM/Query Builder (Supabase)
Input sanitization присутствует

4. XSS (Cross-Site Scripting)

Нет использования dangerouslySetInnerHTML
Используется React (автоэкранирование)
Markdown рендерится безопасно (react-markdown)
Нет eval() или Function()

5. CSRF (Cross-Site Request Forgery)

Server Actions автоматически защищены Next.js
API routes используют правильные методы
Критичные операции требуют подтверждения

6. Утечка данных

Секреты не в коде (используется .env)
.env в .gitignore
Ошибки не раскрывают чувствительную информацию
Логирование не содержит секретов
API не возвращает лишние данные

7. Rate Limiting

Публичные endpoints имеют rate limiting
Защита от brute force
Защита от DoS

8. HTTPS и Headers

Используется HTTPS
Security headers настроены (next.config.js)
HSTS включен
CSP настроен

9. Dependencies

Нет известных уязвимостей (npm audit)
Зависимости обновлены
Используются trusted packages

10. Supabase Security

Row Level Security (RLS) включен
Политики правильные
Пользователи видят только свои данные
Anon key используется правильно

Read the full file on GitHub · 91 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.

2mo ago First seen · 91 lines · 7 tokens per session scan A 4dd65aa299b6

Subscribe to this mod's changes

security is a command published in the GitHub repository AI-agents-incubator/n8n-pilot (30 stars, last pushed 29d ago), licensed MIT. It adds 7 tokens to every session and 687 once invoked, about $0.0000 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 2026-09-04.