ai-agents-workspace-starter: Skill for Claude Code

.agents/skills/security-audit/SKILL.md

security-audit is a skill for Claude Code, Codex from systemowiec/ai-agents-workspace-starter. It costs 41 tokens per session (885 once invoked), scanned A, original, MIT.

A structured checklist for finding security weaknesses in software, including exposed secrets, unsafe database queries, and broken access controls. It also ranks issues by urgency.

In plain words
What is it for?
Use it to review changed code, authentication and authorization, API input handling, secrets before committing, and readiness for a security review.
Why use it?
It helps reveal ways attackers could read data, run unwanted commands, bypass login checks, or abuse an application before release.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is systemowiec/ai-agents-workspace-starter's own configuration. It tells Claude Code and Codex how to work on ai-agents-workspace-starter itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-agents-workspace-starter configures →

Reuse

Borrowing it

Nothing to install: this file belongs to systemowiec/ai-agents-workspace-starter. 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/systemowiec/ai-agents-workspace-starter/main/.agents/skills/security-audit/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/systemowiec/ai-agents-workspace-starter

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 security-audit

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/systemowiec/ai-agents-workspace-starter/security-audit"><img src="https://agentmods.dev/badge/skills/systemowiec/ai-agents-workspace-starter/security-audit.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 885 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 $0.00885
Opus 5.5 $0.00016 $0.00354
Sonnet 5.5 $0.00008 $0.00177
Haiku 4.5 $0.00004 $0.00089

Measured 2mo ago against content hash 6df22a47baa0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

security-audit 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.

.agents/skills/security-audit/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Audit

Overview

Structured checklist for identifying and fixing security vulnerabilities, prioritized by severity.

When to Use

  • Auditing new or changed code for security vulnerabilities
  • Reviewing authentication or authorization logic
  • Checking for hardcoded secrets before commit
  • Assessing API endpoints for input validation gaps
  • Preparing for security review or penetration test

When NOT to use:

  • Adding security theater without real benefit
  • Large security architecture redesigns (that's an architect task)
  • Performance optimization (use performance-audit)

Checklist

CRITICAL (fix immediately)

  • No hardcoded secrets, API keys, or passwords in code
  • No SQL injection (all queries parameterized)
  • No command injection (no user input in shell commands)
  • No path traversal (user input not used in file paths)
  • No sensitive data exposed in logs or error messages
  • All sensitive endpoints require authentication
  • Authorization checks prevent users accessing others' data
  • No insecure deserialization of untrusted data
  • No SSRF risks (validate/restrict outbound URLs)

HIGH

  • No XSS vulnerabilities (output properly escaped/sanitized)
  • CSRF protection on state-changing endpoints
  • No insecure direct object references (use indirect refs or authz checks)
  • Rate limiting on login, registration, and sensitive endpoints
  • Passwords properly hashed (bcrypt/argon2, never plaintext/MD5/SHA)
  • All user input validated (type, length, format)
  • Session management secure (HttpOnly, Secure, SameSite cookies)
  • Security headers present (CSP, X-Frame-Options, X-Content-Type-Options)
  • CORS restricted to known origins (not *)

MEDIUM

  • Error responses don't expose stack traces or internal details
  • Security events logged (failed logins, privilege changes)
  • No outdated dependencies with known CVEs
  • Strong random number generation for security tokens (secrets module)
  • Timeout configured on external API calls
  • Input length limits to prevent DoS
  • File uploads validated (type, size, content)

Read the full file on GitHub · 114 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. 2mo ago First seen · 114 lines · 41 tokens per session scan A 6df22a47baa0

Subscribe to this mod's changes

security-audit is a skill published in the GitHub repository systemowiec/ai-agents-workspace-starter (2 stars, last pushed 7mo ago), licensed MIT. It adds 41 tokens to every session and 885 once invoked, about $0.0002 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.

Related

security-audit compared with skills from other repositories

security-audit next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
security-auditsystemowiec/ai-agents-workspace-starterSkill27mo agoMITA41Claude Code, Codex
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79ktodayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill99ktodayApache-2.0A19Claude Code
systematic-debuggingobra/superpowersSkill314k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
chat-pet-sprite-creationmicrosoft/vscodeSkill195ktodayMITA53Claude Code, Codex