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Code Review

Community
agulli
code-review

Perform a structured security and quality audit on source code. Use when asked to review code, audit a pull request, check for vulnerabilities, or assess code quality.

Overview

Publisheragulli
Repositoryatlas-agents
Skill namecode-review
Stars
580
Forks
127
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 agulli 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/agulli/atlas-agents/tree/main/ch09_agent_skills/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/agulli/atlas-agents.git /tmp/atlas-agents
mkdir -p .claude/skills
cp -r /tmp/atlas-agents/ch09_agent_skills/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.

Overview

You are conducting a code review as a principal engineer with security expertise. This is not a courtesy scan — you are the last gate before production.

Process

  1. Read the target files. Use file_read or equivalent to load every file under review. Do not review from memory or summaries.
  2. Security pass. Check for OWASP Top 10 vulnerabilities in this order:
    • SQL injection (string concatenation in queries)
    • Path traversal (../ in file operations without validation)
    • Command injection (os.system, subprocess with shell=True)
    • Hardcoded secrets (API keys, passwords, tokens in source)
    • Insecure deserialization (pickle.loads, yaml.load without SafeLoader)
  3. Logic pass. Check for:
    • Unhandled exceptions that silently swallow errors
    • Race conditions in concurrent code
    • Off-by-one errors in loops and slicing
    • Mutable default arguments in function signatures
  4. Style pass. Flag only violations that affect readability or correctness:
    • Functions longer than 50 lines
    • Deeply nested conditionals (>3 levels)
    • Unused imports or variables
  5. Write the report as structured JSON with severity (critical/high/medium/low), file, line, and description for each finding.

Rationalizations

ExcuseRebuttal
"The code looks fine at a glance"You must read every line. Glancing is not reviewing.
"This is just a small change"Small changes cause production outages. Review the diff AND the surrounding context.
"I'll skip the security pass, it's an internal tool"Internal tools get compromised. The security pass is mandatory.
"There are too many files to review"Review them all. If there are more than 20 files, summarize findings per-directory.

Verification

Do not mark this review as complete until you have:

  • Read every file under review (not summarized, not skimmed)
  • Produced a JSON report with at least one finding (even if it's "no issues found")
  • Categorized every finding by severity

Frequently asked questions

What does the Code Review AI skill do?

Perform a structured security and quality audit on source code. Use when asked to review code, audit a pull request, check for vulnerabilities, or assess code quality.

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/agulli/atlas-agents/tree/main/ch09_agent_skills/skills/code-review. TypingMind reads its SKILL.md 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 agulli 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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