review-security

review-security is a skill for Claude Code from mgiovani/cc-arsenal. It costs 157 tokens per session (2,208 once invoked), scanned A, original, MIT.

A static security review checks source code for common web and software security weaknesses using the OWASP Top 10, a widely used list of major web risks.

In plain words
What is it for?
It searches for issues such as injection, broken access controls, cryptography mistakes, and hardcoded secrets, then reports severity, file locations, and possible fixes.
Why use it?
It helps identify and verify security problems before they are overlooked, without changing the code.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: agent in frontmatter; names the TodoWrite tool.

Part of the cc-arsenal-review plugin — 8 skills shipped together , and of cc-arsenal

Good fit It searches for issues such as injection, broken access controls, cryptography mistakes, and hardcoded secrets, then reports severity, file locations, and possible fixes.

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

Made for: Claude Code.

Or install cc-arsenal-review, the plugin that ships this one along with the rest of its 8 skills.

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 review-security

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

agentmods 80×15 button for review-security

Your own site · 80×15
<a href="https://agentmods.dev/skills/mgiovani/cc-arsenal/review-security"><img src="https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/review-security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 157 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,208 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 $0.00157 $0.02208
Opus 5.5 $0.00063 $0.00883
Sonnet 5.5 $0.00031 $0.00442
Haiku 4.5 $0.00016 $0.00221

Measured 22d ago against content hash 91c40132ef66, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-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 22d 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/review-security/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Review

Static security analysis targeting OWASP Top 10 vulnerabilities and common language-specific security patterns. This skill only analyzes: it identifies vulnerabilities, explains why each one matters, and suggests fix approaches, all without touching the code.

OWASP renumbers and re-titles its Top 10 categories periodically. Before labeling any finding with a category code (A01, A02, ...), do a quick web check against owasp.org/Top10/ to confirm the codes below are still current; if they've shifted, use the current codes and note the change in the report instead of silently reusing stale labels.

Anti-hallucination guidelines

Rule Detail
Read before claiming Never report a vulnerability in code that hasn't been read
Evidence-based findings Every finding references a specific file path and line number
Pattern matching Use Grep to find actual vulnerable patterns, not hypothetical ones
No invented CVEs Only reference real vulnerabilities when providing context
Quantifiable results Statistics come from counting actual matches, never estimates
No false positives Verify each finding matches a documented vulnerability pattern
Scope verification Only scan files within the specified scope (PR/commit/all)

Scan Workflow

Phase 0: Determine Scan Scope

Parse arguments to determine what to scan:

  • <pr_number>: scan only files changed in PR (e.g. "123", "#123")
  • <commit_sha>: scan only files changed in commit (e.g. "abc123")
  • --all or no args: scan entire codebase
  • --scope [web|api|mobile|backend|frontend]: focus on specific vulnerability categories

If a PR or commit is specified, use Bash to get changed files:

# For PR
gh pr view <pr_number> --json files --jq '.files[].path'

# For commit
git diff-tree --no-commit-id --name-only -r <commit_sha>

Phase 1: Project Technology Discovery

Use an Explore agent (model: haiku) to identify the stack: languages/frameworks from package.json/pyproject.toml/pom.xml/go.mod, existing security tooling (.pre-commit-config.yaml, SAST steps in .github/workflows), web framework, DB/ORM patterns, auth patterns (JWT/OAuth/sessions), and any SECURITY.md. Return a stack summary with the vulnerability categories to prioritize. No Task tool available? Skip the agent: read those same files and grep those same paths yourself, inline, then note the stack directly.

Read the full file on GitHub · 210 lines

Files

What ships with it

4 files 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. 22d ago Changed · -1 lines 91c40132ef66
  2. 1mo ago Changed · +6 lines 983094a42411
  3. 1mo ago Changed · -11 tokens per session 7a09ba3aaed2
  4. 1mo ago Changed · +1 lines 754592f0a7fd
  5. 1mo ago First seen · 204 lines · 168 tokens per session scan A 64b5e651fd9b

Subscribe to this mod's changes

review-security is a skill published in the GitHub repository mgiovani/cc-arsenal (8 stars, last pushed 2d ago), licensed MIT. It adds 157 tokens to every session and 2,208 once invoked, about $0.0006 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 2026-08-31.

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