Code Review

Organization

DevelopersGlobal

code-review

Structured code review focusing on correctness, security, and maintainability. Correctness before style. Every reviewer comment must be actionable.

Overview

Publisher	DevelopersGlobal
Repository	`ai-agent-skills`
Skill name	`code-review`
Stars	212
Forks	33
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 DevelopersGlobal 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/DevelopersGlobal/ai-agent-skills/tree/main/skills/code-review
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.

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/DevelopersGlobal/ai-agent-skills.git /tmp/ai-agent-skills
mkdir -p .claude/skills
cp -r /tmp/ai-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

Code review is the last line of defense before code reaches production. This skill structures the review process to catch real issues — not just style preferences — and ensures every comment is actionable and proportionate.

When to Use

Before merging any pull request
When reviewing AI-generated code
When auditing existing code for quality

Process

Step 1: Understand the Change

Read the PR description fully — understand the intent before reading code.
Check: Does the implementation match the stated intent?
Identify the risk level: data mutation? auth changes? public API?

Verify: You understand what the PR is trying to accomplish.

Step 2: Correctness Review

Does the code do what it claims to do?
Are there off-by-one errors, null dereferences, or race conditions?
Are all error cases handled?
Do tests cover the happy path AND key failure paths?

Verify: You can trace the execution path for the primary use case and 2 failure cases.

Step 3: Security Review

Apply security-hardening skill to any auth/input/data changes.
Does this change open any OWASP Top 10 vulnerabilities?
Are any secrets or PII handled correctly?

Step 4: Maintainability Review

Will the next developer understand this code without the author present?
Are functions doing one thing?
Are names descriptive and accurate?
Is complexity proportionate to the problem?

Step 5: Provide Actionable Feedback

Every comment must be one of:
- Blocker: Must be fixed before merge
- Suggestion: Optional improvement
- Question: Needs clarification (not necessarily a problem)
Blockers must be specific: "This SQL query is vulnerable to injection via {username} — use parameterized queries."
Never leave vague comments like "this doesn't look right" without explaining why.

Common Rationalizations (and Rebuttals)

Excuse	Rebuttal
"I'll review it quickly"	A rushed review is not a review. Take the time or ask someone who can.
"The tests pass so it's fine"	Tests prove the code works for tested inputs, not that it's secure or maintainable.
"I'll comment on style later"	Style comments without blocker separation waste everyone's time. Label them.

Verification

Correctness verified for primary and failure paths
Security review applied to sensitive changes
All comments labeled (blocker/suggestion/question)
Tests reviewed for meaningful coverage
No vague or unactionable comments

Frequently asked questions

What does the Code Review AI skill do?

Structured code review focusing on correctness, security, and maintainability. Correctness before style. Every reviewer comment must be actionable.

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/DevelopersGlobal/ai-agent-skills/tree/main/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 DevelopersGlobal 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Overview

When to Use

Process

Step 1: Understand the Change

Step 2: Correctness Review

Step 3: Security Review

Step 4: Maintainability Review

Step 5: Provide Actionable Feedback

Common Rationalizations (and Rebuttals)

Verification

References

Frequently asked questions

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