audit-security

audit-security is a skill for Claude Code from tomzx/agents. It costs 35 tokens per session (2,648 once invoked), scanned A, original, MIT.

A code-level security review that looks for vulnerabilities in your own source code, such as exposed secrets, injection risks, and missing access checks. It produces a prioritized remediation plan with severity ratings.

In plain words
What is it for?
Use it to scan a whole repository or a selected path for hardcoded keys and passwords, SQL or command injection, unsafe deserialization, missing access controls, and other common web-application risks.
Why use it?
It helps identify weaknesses attackers could exploit before they become security incidents, including unsafe defaults and missing authentication or authorization.

Skill for Claude Code

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

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is Each finding names its evidence level in the form `L<n> - <Name>` plus a pointer, per [`../sdlc/references/evidence.md`](../sdlc/references/evidence.md)..

Good fit Use it to scan a whole repository or a selected path for hardcoded keys and passwords, SQL or command injection, unsafe deserialization, missing access controls, and other common web-application risks.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/tomzx/agents
agentmods
npx agentmods add skills/tomzx/agents/audit-security

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.

agentmods badge for audit-security

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tomzx/agents/audit-security"><img src="https://agentmods.dev/badge/skills/tomzx/agents/audit-security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,648 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00035 $0.02648
Opus 5.5 $0.00014 $0.01059
Sonnet 5.5 $0.00007 $0.00530
Haiku 4.5 $0.00003 $0.00265

Measured 22d ago against content hash c94a75e85dd8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

audit-security scanned grade A with 1 finding 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

rg -n "(os\.system|subprocess\.(call|run|Popen)|exec\(|eval\(|child_process)" \
skills/audit-security/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TODAY=!date +%Y-%m-%d

Security Audit

Scans your own code for vulnerabilities — distinct from /audit-dependencies which covers external packages. Covers hardcoded secrets, injection patterns, missing authentication and authorization checks, insecure defaults, and other OWASP-class issues. Produces a prioritized remediation plan with severity ratings.

Prerequisites

  • Working directory is the root of the repository
  • Optional: $1 — path to limit the scan (defaults to .)
  • Language-specific tools (degrades to rg heuristics if unavailable):
    • Any language: semgrep (pip install semgrep or brew install semgrep)
    • Secrets: trufflehog (pip install trufflehog) or gitleaks (brew install gitleaks)
    • Python: bandit (uv tool install bandit)
    • JavaScript/TypeScript: eslint with eslint-plugin-security
    • Go: gosec (go install github.com/securego/gosec/v2/cmd/gosec@latest)

Vulnerability Categories

Category Severity Examples
Hardcoded secrets 🔴 Critical API keys, passwords, tokens in source
Injection 🔴 Critical SQL, command, LDAP, XPath injection
Insecure deserialization 🔴 Critical pickle.loads, eval, exec on user input
Broken authentication 🔴 High Missing auth checks, weak session handling
Sensitive data exposure 🔴 High PII/secrets logged, transmitted unencrypted
Insecure direct object reference 🟡 High Missing ownership checks on resource access
Security misconfiguration 🟡 Medium Debug mode on, permissive CORS, weak TLS
Missing authorization 🟡 Medium Authenticated but not authorized
Cryptography issues 🟡 Medium Weak algorithms (MD5, SHA1), hardcoded IVs
Dependency confusion 🟢 Low Internal package names resolvable publicly

Steps

1. Detect Language and Available Tools

find ${1:-.} -type f | sed 's/.*\.//' | sort | uniq -c | sort -rn | head -10
command -v semgrep && semgrep --version
command -v bandit && bandit --version
command -v gosec && gosec --version
command -v gitleaks && gitleaks version
command -v trufflehog && trufflehog --version

Read the full file on GitHub · 259 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. 22d ago Changed · +8 lines c94a75e85dd8
  2. 23d ago Changed · +7 lines 98c884b9f370
  3. 2mo ago First seen · 244 lines · 35 tokens per session scan A 84b47b74139c

Subscribe to this mod's changes

audit-security is a skill published in the GitHub repository tomzx/agents (13 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 2,648 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). 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

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens