security-review

security-review is a skill for Claude Code from mhylle/claude-skills-collection. It costs 61 tokens per session (5,148 once invoked), scanned A, original, MIT.

A security review workflow for checking code changes that handle accounts, user input, APIs, secrets, payments, files, databases, or sensitive information.

In plain words
What is it for?
Use it to review authentication, permissions, public API routes, uploads, payment features, third-party integrations, and database queries.
Why use it?
It helps find common security weaknesses and unsafe handling of credentials or private data before code reaches production.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Part of the devflow plugin — 38 skills, 13 agents, 5 hooks shipped together

Good fit Use it to review authentication, permissions, public API routes, uploads, payment features, third-party integrations, and database queries.

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

Made for: Claude Code.

Or install devflow, the plugin that ships this one along with the rest of its 38 skills, 13 agents, 5 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 security-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/mhylle/claude-skills-collection/security-review"><img src="https://agentmods.dev/badge/skills/mhylle/claude-skills-collection/security-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,148 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
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Output Handling · line 267
    Model output is used without validation or sanitization. Unvalidated output injected into downstream contexts (SQL, shell, HTML) enables injection attacks and arbitrary code execution.
    Fix: Validate and sanitize all model output before using it in downstream contexts. Use parameterized queries for SQL, shell quoting for commands, and HTML encoding for web output.
  • high Output Handling · line 285
    Model output is used without validation or sanitization. Unvalidated output injected into downstream contexts (SQL, shell, HTML) enables injection attacks and arbitrary code execution.
    Fix: Validate and sanitize all model output before using it in downstream contexts. Use parameterized queries for SQL, shell quoting for commands, and HTML encoding for web output.
  • high Output Handling · line 295
    Model output is used without validation or sanitization. Unvalidated output injected into downstream contexts (SQL, shell, HTML) enables injection attacks and arbitrary code execution.
    Fix: Validate and sanitize all model output before using it in downstream contexts. Use parameterized queries for SQL, shell quoting for commands, and HTML encoding for web output.
  • medium MCP Rug Pull · line 634
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00061 $0.05148
Opus 5 $0.00030 $0.02574
Sonnet 5 $0.00012 $0.01030
Haiku 4.5 $0.00006 $0.00515

Measured 12d ago against content hash 0b41e41ec640, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

security-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 12d 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/security-review/SKILL.md · 772 lines

How it starts

The opening of the file, as written. The whole thing — 772 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Review Skill

This skill ensures all code follows security best practices and identifies potential vulnerabilities before they reach production.

Design Philosophy

Security is not optional. This skill acts as a security quality gate that validates code against common vulnerability patterns (OWASP Top 10) and project-specific security requirements. One vulnerability can compromise the entire platform.

When to Activate

Trigger this skill when code involves:

  • Authentication or authorization - Login flows, session management, role checks
  • User input handling - Forms, query parameters, file uploads
  • API endpoints - New routes, especially public-facing
  • Secrets or credentials - API keys, database connections, tokens
  • Payment features - Financial transactions, billing, subscriptions
  • Sensitive data - PII, health data, financial records
  • Third-party API integration - External service connections
  • Database queries - Especially raw SQL or dynamic queries

Security Checklist

1. Secrets Management

BAD - Never Do This
const apiKey = "sk-proj-xxxxx"  // Hardcoded secret
const dbPassword = "password123" // In source code
const config = {
  stripe_key: "sk_live_xxxxx"  // Committed to repo
}
GOOD - Always Do This
const apiKey = process.env.OPENAI_API_KEY
const dbUrl = process.env.DATABASE_URL

// Verify secrets exist at startup
if (!apiKey) {
  throw new Error('OPENAI_API_KEY not configured')
}

// Use secret management services for production
// AWS Secrets Manager, HashiCorp Vault, etc.
Verification Checklist
  • No hardcoded API keys, tokens, or passwords in source
  • All secrets loaded from environment variables
  • .env, .env.local, .env.production in .gitignore
  • No secrets in git history (run git log -p | grep -i "api_key\|secret\|password")
  • Production secrets in secure secret management (Vercel, Railway, AWS SM)
  • Different secrets for dev/staging/production environments

Read the full file on GitHub · 772 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 772 lines · 61 tokens per session scan A 0b41e41ec640

Subscribe to this mod's changes

security-review is a skill published in the GitHub repository mhylle/claude-skills-collection (18 stars, last pushed 9d ago), licensed MIT. It adds 61 tokens to every session and 5,148 once invoked, about $0.0003 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 2026-08-30.

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