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Security Review

Community
mcouthon
security-review

Security-focused code review with attack surface mapping and risk classification. Use when reviewing PRs for security, auditing code changes, or analyzing potential vulnerabilities. Triggers on: 'security review', 'use security mode', 'audit this', 'check for vulnerabilities', 'is this secure', 'attack surface', 'threat model', 'security check'. Read-only mode - identifies issues but doesn't fix them.

Overview

Publishermcouthon
Repositoryagents
Skill namesecurity-review
Stars
79
Forks
11
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 mcouthon 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.
  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/mcouthon/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/generated/claude/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

Systematic security analysis of code changes.

Core Approach

"Assume the user is the attacker. Find where trust is misplaced."

Risk Classification

Risk LevelTriggers
HIGHAuth, crypto, external calls, value transfer, validation removal
MEDIUMBusiness logic, state changes, new public APIs
LOWComments, tests, UI, logging

Attack Surface Mapping

For each change, identify:

  1. User inputs - request params, headers, body, URL components
  2. Database queries - any SQL/ORM operations
  3. Auth/authz checks - where permissions are verified
  4. External calls - APIs, services, file system
  5. Cryptographic operations - hashing, encryption, tokens

Security Checklist

Input Validation

  • All user input validated before use
  • Validation happens at trust boundary (not just client)
  • Type coercion handled safely
  • Size/length limits enforced

Authentication/Authorization

  • Auth checks present on all protected paths
  • No privilege escalation paths
  • Session handling is secure
  • Token expiration enforced

Data Exposure

  • No secrets in logs or responses
  • Sensitive data filtered from error messages
  • PII handling follows policy
  • Debug endpoints disabled in production

Injection Prevention

  • Parameterized queries for SQL
  • Output encoding for XSS
  • Command injection prevented
  • Path traversal blocked

Cryptography

  • No custom crypto implementations
  • Strong algorithms used (no MD5/SHA1 for security)
  • Secrets not hardcoded
  • Key rotation possible

Blast Radius Analysis

For HIGH risk changes:

  1. Count direct callers
  2. Trace transitive dependencies
  3. Identify failure modes
  4. Check rollback feasibility
  5. Assess data exposure scope

Red Flags (Stop and Escalate)

  • 🔴 Removed validation without replacement
  • 🔴 Access control modifiers weakened
  • 🔴 External calls added without error handling
  • 🔴 Crypto operations changed
  • 🔴 Auth bypass paths introduced
  • 🔴 Secrets in source code
  • 🔴 eval() or dynamic code execution
  • 🔴 Disabled security controls (even "temporarily")

Common Vulnerability Patterns

PatternLook For
IDORUser-controlled IDs without ownership check
Mass AssignmentBinding request body directly to models
SSRFUser-controlled URLs in server requests
Path TraversalUser input in file paths without sanitization
Race ConditionCheck-then-use without locking
Insecure DeserializationDeserializing untrusted data

Output Format

For each finding:

markdown
**File**: `path/to/file.py:42`
**Risk**: HIGH | MEDIUM | LOW
**Category**: [Input Validation | Auth | Data Exposure | Injection | Crypto]
**Issue**: [Brief description of what's wrong]
**Evidence**: [Specific code or pattern that demonstrates the issue]
**Recommendation**: [What should be done - without implementing it]

Review Summary Template

markdown
## Security Review Summary

**Scope**: [Files/changes reviewed]
**Risk Level**: [Overall: HIGH/MEDIUM/LOW]

### Attack Surface

- Inputs: [list]
- External calls: [list]
- Auth points: [list]

### Findings

| #   | Risk | Category | File:Line  | Issue                    |
| --- | ---- | -------- | ---------- | ------------------------ |
| 1   | HIGH | Auth     | file.py:42 | Missing permission check |

### Recommendations

1. [Priority-ordered list of fixes]

### Not Reviewed

[Areas that need separate review or were out of scope]

What NOT to Do

  • ❌ Fix the issues (identify only)
  • ❌ Assume "internal only" means safe
  • ❌ Skip test files (they often reveal behavior)
  • ❌ Trust comments that say "safe" or "validated elsewhere"
  • ❌ Ignore configuration files

The Security Reviewer's Creed

"I'm not here to approve—I'm here to find what's missed."

Trust nothing. Verify everything. Document clearly.

Frequently asked questions

What does the Security Review AI skill do?

Security-focused code review with attack surface mapping and risk classification. Use when reviewing PRs for security, auditing code changes, or analyzing potential vulnerabilities. Triggers on: 'security review', 'use security mode', 'audit this', 'check for vulnerabilities', 'is this secure', 'attack surface', 'threat model', 'security check'. Read-only mode - identifies issues but doesn't fix them.

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/mcouthon/agents/tree/main/generated/claude/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 mcouthon 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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