Security Audit logo

Security Audit

Organization
netresearch
security-audit

Use when conducting security assessments — OWASP Top 10 / API / LLM, CWE Top 25, CVSS scoring — auditing PHP/TYPO3, APIs, frontend, Terraform/K8s/Docker IaC, AWS cloud, AI agent configs, or scanning dependencies.

Overview

Publishernetresearch
Repositorysecurity-audit-skill
Skill namesecurity-audit
Stars
52
Forks
5
Bundled files
62
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 62 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by netresearch on GitHub. Read the source before you install it.

Installation

Install the Security Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/netresearch/security-audit-skill/tree/main/skills/security-audit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/netresearch/security-audit-skill.git /tmp/security-audit-skill
mkdir -p .claude/skills
cp -r /tmp/security-audit-skill/skills/security-audit .claude/skills/security-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Security Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Security Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Security Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Security Audit Skill

Security audit patterns (OWASP Top 10, LLM Top 10 2025, CWE Top 25 2025, CVSS v4.0), cloud/IaC, GitHub security. 80+ PHP/TYPO3 checkpoints (v14.3 LTS in typo3-security.md).

Expertise Areas

  • Vulnerabilities: XXE, SQLi, XSS, CSRF, command injection, path traversal, file upload, deserialization, SSRF, SSTI, JWT, type juggling
  • Standards: OWASP Top 10 / API / LLM (2025), CWE Top 25, CVSS v3.1/v4.0, OWASP ASVS
  • Cloud & IaC: AWS; Terraform, Kubernetes, Docker, Helm
  • API & Frontend: REST/GraphQL authZ, rate limits, mass assignment, CSP, DOM-XSS
  • AI Agents: SKILL.md/AGENTS.md/CLAUDE.md/mcp.json/hooks.json audit; prompt injection; excessive agency

Reference Files (in references/, .md implied)

  • Core: owasp-top10, cwe-top25, xxe-prevention, cvss-scoring, api-key-encryption
  • Prevention: deserialization-prevention, path-traversal-prevention, file-upload-security, input-validation, error-message-sanitization, ssh-forced-command-hardening
  • Architecture: authentication-patterns, security-headers, security-logging, cryptography-guide, security-invariants, indistinguishability-defences
  • Ordering-sensitive guarantees: formal-model-checking — finite design checks for concurrency, commits and process loss; use when those orderings affect a specific security claim
  • Language features (*-security-features): php, python, javascript-typescript, nodejs, go
  • Frameworks (*-security): typo3, typo3-fluid, typo3-typoscript, symfony, react, vue
  • Cloud & IaC: aws-security, iac-security
  • API & Frontend: api-security, frontend-security
  • AI Agent: llm-security (OWASP LLM Top 10 2025)
  • Threats: modern-attacks, cve-patterns
  • DevSecOps: ci-security-pipeline, supply-chain-security, automated-scanning, gha-security, git-history-secrets
  • Incident: supply-chain-incident-response

Security Checklist

  • semgrep/opengrep, trivy fs --severity HIGH,CRITICAL, gitleaks clean
  • bcrypt/Argon2 passwords, CSRF on state changes, TLS 1.2+
  • Server-side input validation; parameterized SQL; XML entities off
  • Output encoding + CSP; no unserialize() on user input
  • API keys encrypted; exception messages sanitized
  • Secrets out of VCS; audit logging on
  • Uploads validated, renamed, outside web root
  • Headers HSTS + X-Content-Type-Options; dependencies scanned

GitHub Actions Security

  • NEVER interpolate ${{ inputs.* }} / ${{ github.event.* }} in run: — use env:
  • Dependency triage: upgrade > override > dismiss. Full patterns: references/gha-security.md.

Verification

bash
./scripts/security-audit-dispatcher.sh /path/to/project  # auto-detect stack
./scripts/security-audit.sh /path/to/project             # PHP-only
./scripts/github-security-audit.sh owner/repo            # GH repo

Dispatcher detects the stack from indicator files and runs matching scripts/scanners/*.sh (13 ecosystems; see references/ index).


Contributing: https://github.com/netresearch/security-audit-skill

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 2 more files.

Frequently asked questions

What does the Security Audit AI skill do?

Use when conducting security assessments — OWASP Top 10 / API / LLM, CWE Top 25, CVSS scoring — auditing PHP/TYPO3, APIs, frontend, Terraform/K8s/Docker IaC, AWS cloud, AI agent configs, or scanning dependencies.

Why use Security Audit on TypingMind?

Because you install it once and use it with any model. Security Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Security Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/netresearch/security-audit-skill/tree/main/skills/security-audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Security Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Security Audit?

As many as you like. As long as a model supports skills, you can use Security Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Security Audit AI skill free?

It is published on GitHub by netresearch. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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