Code Review logo

Code Review

Organization
SpecterOps
code-review

Security-focused code review of current git changes. Use when reviewing code diffs, checking for vulnerabilities, or before merging branches.

Overview

PublisherSpecterOps
Repositoryskills
Skill namecode-review
Stars
706
Forks
80
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Code 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/SpecterOps/skills/tree/main/plugins/code-review-and-qa/skills/code-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/SpecterOps/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/code-review-and-qa/skills/code-review .claude/skills/code-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code 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 Code 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 Code 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-Focused Code Review

Review current git changes with a focus on security issues and code quality.

Parse the user's input to determine scope:

  • $code-review → review all changes (staged + unstaged)
  • $code-review staged → only staged changes
  • $code-review unstaged → only unstaged changes

Steps

  1. Determine scope from user input (default: all)

    • staged: git diff --staged
    • unstaged: git diff
    • all: both git diff and git diff --staged
  2. Run git status for the full picture

  3. Read the full content of each changed file for context (not just the diff)

  4. Analyze for:

Security Issues (Critical)

  • Injection: SQL injection, command injection, XSS, SSTI, LDAP injection
  • Hardcoded secrets: API keys, passwords, tokens, connection strings, private keys
  • Path traversal: unsanitized file path inputs, ../ patterns
  • Insecure deserialization: pickle, yaml.load without SafeLoader, json with custom decoders
  • Weak crypto: MD5/SHA1 for security, ECB mode, hardcoded IVs, insufficient key lengths
  • SSRF: unvalidated URLs in HTTP requests, DNS rebinding potential
  • Race conditions: TOCTOU, shared state without locks, async hazards
  • Auth issues: missing auth checks, privilege escalation, IDOR patterns
  • CORS misconfiguration: overly permissive Access-Control-Allow-Origin, credentials with wildcard
  • JWT issues: algorithm confusion (none/HS256 vs RS256), missing expiration, weak secrets

Logic & Correctness

  • Off-by-one errors, boundary conditions
  • Unhandled error cases that could crash or leak info
  • Resource leaks (unclosed files, connections, sockets)
  • Incorrect type handling

Code Quality

  • Overly complex logic that could hide bugs
  • Missing input validation at trust boundaries
  • Inconsistent error handling patterns
  1. Present findings by severity:

    • CRITICAL: Exploitable security vulnerabilities
    • HIGH: Security weaknesses, data exposure risks
    • MEDIUM: Logic bugs, error handling gaps
    • LOW: Style issues, minor improvements
  2. Each finding includes: file:line, issue, why it matters, suggested fix

  3. Summary: total by severity, verdict (safe to merge / needs fixes / needs rework)

Bundled files

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

Frequently asked questions

What does the Code Review AI skill do?

Security-focused code review of current git changes. Use when reviewing code diffs, checking for vulnerabilities, or before merging branches.

Why use Code Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SpecterOps/skills/tree/main/plugins/code-review-and-qa/skills/code-review. 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 Code 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 Code Review?

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

Is the Code Review AI skill free?

Yes. It is published on GitHub by SpecterOps 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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