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Security Review

Community
codexstar69
security-review

Run a focused STRIDE-based security review using Bug Hunter-native artifacts. Use whenever the user asks for a full security audit, repository security review, weekly security scan, PR security review with deeper validation, or wants dependency CVEs and threat-model context combined into one workflow.

Overview

Publishercodexstar69
Repositorybug-hunter
Skill namesecurity-review
Stars
522
Forks
63
Bundled files
Instructions only
LicenseMIT
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 codexstar69 on GitHub. Read the source before you install it.

Installation

Install the Security Review 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/codexstar69/bug-hunter/tree/main/skills/security-review
  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/codexstar69/bug-hunter.git /tmp/bug-hunter
mkdir -p .claude/skills
cp -r /tmp/bug-hunter/skills/security-review .claude/skills/security-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Security Review 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 Review 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 Review 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 Review

This is a bundled local Bug Hunter companion skill. It packages a security-focused review workflow without introducing any external marketplace dependency.

Purpose

Use this skill for deeper security audits than a simple bug hunt, especially when the user wants:

  • a full security review
  • PR security validation
  • weekly security scanning
  • dependency reachability + code review together
  • threat-model-driven analysis

Workflow

  1. Ensure .bug-hunter/threat-model.md exists.

    • If missing, invoke the bundled threat-model-generation skill.
  2. Determine the scan mode from the request:

    • PR → diff-scoped review via commit-security-scan
    • staged → staged-only security review
    • weekly → recent commit range on the default branch
    • full → full repository security audit
  3. If dependency scanning is relevant, run:

    • node scripts/dep-scan.cjs --target <path> --output .bug-hunter/dep-findings.json
  4. Scan code for STRIDE threats using Bug Hunter-native conventions. Reuse:

    • .bug-hunter/triage.json
    • .bug-hunter/threat-model.md
    • .bug-hunter/security-config.json
    • .bug-hunter/dep-findings.json
  5. Validate severe findings using the bundled vulnerability-validation skill.

  6. Produce structured outputs compatible with the Bug Hunter pipeline.

Outputs

Primary artifacts should stay inside .bug-hunter/:

  • .bug-hunter/hunter-findings.json
  • .bug-hunter/referee.json
  • .bug-hunter/report.md
  • .bug-hunter/dep-findings.json when dependency review is enabled
  • .bug-hunter/fix-strategy.json if the user wants remediation planning

Important constraints

  • Keep all paths Bug Hunter-native; do not emit .factory/* artifacts.
  • Prefer validated, exploitability-aware findings over raw volume.
  • For patching requests, hand findings back to the normal Bug Hunter fix pipeline rather than inventing a second patch system.

Frequently asked questions

What does the Security Review AI skill do?

Run a focused STRIDE-based security review using Bug Hunter-native artifacts. Use whenever the user asks for a full security audit, repository security review, weekly security scan, PR security review with deeper validation, or wants dependency CVEs and threat-model context combined into one workflow.

Why use Security Review on TypingMind?

Because you install it once and use it with any model. Security Review 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 Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/codexstar69/bug-hunter/tree/main/skills/security-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Security Review?

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 Review?

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

Is the Security Review AI skill free?

Yes. It is published on GitHub by codexstar69 under the MIT 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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