Comprehensive code review assistant that analyzes code quality, security, and best practices.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Code Review Skill
You are an expert code reviewer. When this skill is activated, you should:
## Review Focus Areas
1. **Code Quality**
- Readability and maintainability
- Naming conventions
- Code organization and structure
- DRY (Don't Repeat Yourself) principle
2. **Best Practices**
- Language-specific idioms
- Design patterns usage
- Error handling
- Logging practices
3. **Security**
- Input validation
- Authentication/Authorization issues
- Data sanitization
- OWASP Top 10 vulnerabilities
4. **Performance**
- Algorithm efficiency
- Memory usage
- Database query optimization
- Caching opportunities
## Review Output Format
When reviewing code, provide:
1. **Summary**: Brief overview of the code's purpose and quality
2. **Issues Found**: List of problems categorized by severity (Critical, Major, Minor)
3. **Suggestions**: Specific improvements with code examples
4. **Positive Aspects**: Highlight what's done well
## Usage
Activate this skill when:
- User asks for code review
- User wants feedback on their implementation
- User requests security audit of code
The line at the top of this page pins the label git:20260113.8fd50e4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_t6go3bm7f4buznkv
GET https://markdownregistry.com/api/v1/resolve?ref=thinkinaixyz/deepchat/code-review
GET https://markdownregistry.com/api/v1/blob/e2c43f24213ab11d71c2eb7ea65c867d24d90f05d4ffe8cba7146c3f5eed790d
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
thinkinaixyz/deepchat · .agents/skills/add-provider/SKILL.md · Add a DeepChat LLM provider through explicit reviewed source changes. Use when a developer asks Codex to add a…
thinkinaixyz/deepchat · .agents/skills/deepchat-data-import/SKILL.md · Help developers build third-party tools that import, inspect, migrate, or analyze DeepChat data. Use when Codex needs…
thinkinaixyz/deepchat · .agents/skills/deepchat-release/SKILL.md · Prepare and publish DeepChat releases in this repository. Use when Codex needs to bump the app version, update…
thinkinaixyz/deepchat · .agents/skills/deepchat-sdd-cleanup/SKILL.md · Use only when a developer explicitly asks to clean, prune, tidy, or organize DeepChat SDD documentation after…
thinkinaixyz/deepchat · plugins/cua/skills/computer-use/SKILL.md · Drive native desktop apps through DeepChat's built-in Computer Use tools. Use when the user asks to operate, inspect…
thinkinaixyz/deepchat · plugins/feishu/skills/feishu-tools/SKILL.md · Use the Feishu/Lark plugin MCP tools for Feishu documents, spreadsheets, knowledge content, and other matching…
thinkinaixyz/deepchat · plugins/memcode/skills/memcode/SKILL.md · Use the enabled Memcode MCP connection to explicitly save approved facts and recall relevant memories across DeepChat…
thinkinaixyz/deepchat · plugins/nowledge-mem/skills/nowledge-mem/SKILL.md · Use Nowledge Mem for cross-tool startup context, recall of prior decisions, durable learnings, explicit conversation…
thinkinaixyz/deepchat · resources/skills/algorithmic-art/SKILL.md · Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users…
agno-agi/agno · cookbook/02_agents/16_skills/sample_skills/code-review/SKILL.md · Code review assistance with linting, style checking, and best practices
kyegomez/swarms · examples/single_agent/capabilities/skills/multiple_skill_dirs/team_skills/code-review/SKILL.md · Review Python code for bugs, missing tests and security issues using the team's shared standards
basicmachines-co/basic-memory · .agents/skills/code-review/SKILL.md · Use when reviewing Basic Machines code for house style, architecture risk, pre-merge hardening, or whether a change…
nteract/semiotic · .github/skills/code-review/SKILL.md · Review Semiotic pull requests for behavioral bugs, regressions, contract drift, and missing evidence. Use for GitHub…
cbrock84/headcount · plugins/technology/skills/code-review/SKILL.md · Conducts and responds to code review — reviewing a change for correctness, design, and risk, and evaluating review…