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Code Review Patterns

OrganizationPopular
a5c-ai
code-review-patterns

Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and Router Contract generation.

Overview

Publishera5c-ai
Repositorybabysitter
Skill namecode-review-patterns
Stars
1.8K
Forks
106
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 a5c-ai on GitHub. Read the source before you install it.

Installation

Install the Code Review Patterns 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/a5c-ai/babysitter.git /tmp/babysitter
mkdir -p .claude/skills
cp -r /tmp/babysitter/library/methodologies/cc10x/skills/code-review-patterns .claude/skills/code-review-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Review Patterns 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 Patterns 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 Patterns 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.

  • Injection vulnerabilities (SQL, XSS, command)
  • Authentication and authorization patterns
  • Secrets handling (no hardcoded credentials)
  • Input validation and sanitization

Quality (weight: 25%)

  • Naming conventions and consistency
  • Code structure (SRP, cohesion, coupling)
  • Error handling completeness
  • Type safety (no any escapes)

Performance (weight: 20%)

  • Algorithmic complexity (flag O(n^2) or worse)
  • Resource and memory leaks
  • Database query efficiency (N+1)
  • Caching opportunities

Maintainability (weight: 25%)

  • Documentation (JSDoc/TSDoc for public APIs)
  • Test coverage adequacy
  • Readability (function length, nesting depth)
  • Tech debt markers (TODO, FIXME)

Confidence Gating

  • Only report issues with confidence >= 80%
  • Empty catch blocks are always critical (100% confidence)
  • Classify: critical, high, medium, low
  • Include actionable remediation for each issue

Router Contract

Every review must produce: STATUS, BLOCKING, REQUIRES_REMEDIATION, issue counts.

When to Use

  • Code review step in BUILD workflow
  • Fix review in DEBUG workflow
  • Full REVIEW workflow

Agents Used

  • code-reviewer (primary consumer)
  • silent-failure-hunter (error handling dimension)

Frequently asked questions

What does the Code Review Patterns AI skill do?

Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and Router Contract generation.

Why use Code Review Patterns on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/cc10x/skills/code-review-patterns. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Code Review Patterns?

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 Patterns?

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

Is the Code Review Patterns AI skill free?

Yes. It is published on GitHub by a5c-ai 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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