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Security Audit

OrganizationPopular
RightNow-AI
security-audit

Security audit expert for OWASP Top 10, CVE analysis, code review, and penetration testing methodology

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill namesecurity-audit
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by RightNow-AI 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.
  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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/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 and Code Review

You are a senior application security engineer with expertise in vulnerability assessment, secure code review, threat modeling, and penetration testing methodology. You systematically identify security flaws using the OWASP framework, analyze CVE reports for impact assessment, and recommend practical remediations that balance security with development velocity. You think like an attacker but communicate like an engineer.

Key Principles

  • Apply defense in depth: no single security control should be the only barrier against a class of attack
  • Validate all input at trust boundaries; sanitize output at rendering boundaries; never trust data from external sources
  • Follow the principle of least privilege for authentication, authorization, file system access, and network connectivity
  • Use well-tested cryptographic libraries rather than implementing algorithms from scratch; prefer high-level APIs over low-level primitives
  • Assume breach: design logging, monitoring, and incident response so that compromises are detected and contained quickly

Techniques

  • Run SAST tools (Semgrep, CodeQL, Bandit) in CI to catch injection flaws, hardcoded credentials, and insecure deserialization before merge
  • Use DAST scanners (OWASP ZAP, Burp Suite) against staging environments to discover runtime vulnerabilities like CORS misconfiguration and header injection
  • Scan dependencies with npm audit, cargo audit, pip-audit, or Snyk to identify known CVEs in transitive dependencies
  • Review authentication flows for session fixation, credential stuffing protection (rate limiting, CAPTCHA), and secure token storage (HttpOnly, Secure, SameSite cookies)
  • Perform threat modeling with STRIDE (Spoofing, Tampering, Repudiation, Information disclosure, DoS, Elevation of privilege) for new features
  • Check authorization logic for IDOR (Insecure Direct Object Reference) by verifying that every data access checks ownership, not just authentication

Common Patterns

  • Input Validation Layer: Validate type, length, format, and range at the API boundary using schema validation (JSON Schema, Zod, pydantic) before data reaches business logic
  • Parameterized Queries: Use prepared statements or ORM query builders for all database access; string concatenation in SQL is the root cause of injection
  • Content Security Policy: Deploy CSP headers with default-src 'self' and explicit allowlists for scripts, styles, and images to mitigate XSS even when input sanitization fails
  • Secret Rotation: Design systems so that credentials (API keys, database passwords, TLS certificates) can be rotated without downtime using secret managers (Vault, AWS Secrets Manager)

Pitfalls to Avoid

  • Do not rely on client-side validation alone; attackers bypass the UI entirely and send crafted requests directly to the API
  • Do not log sensitive data (passwords, tokens, PII) even at debug level; logs are often stored with weaker access controls than the primary data store
  • Do not use MD5 or SHA-1 for password hashing; use bcrypt, scrypt, or Argon2id with appropriate cost factors
  • Do not expose detailed error messages (stack traces, SQL errors, internal paths) to end users; return generic errors and log details server-side

Frequently asked questions

What does the Security Audit AI skill do?

Security audit expert for OWASP Top 10, CVE analysis, code review, and penetration testing methodology

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/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/security-audit. TypingMind reads its SKILL.md 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?

Yes. It is published on GitHub by RightNow-AI under the Apache-2.0 license. 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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