deepagents-code-review
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/anderskev/deepagents-code-reviewWhat This Skill Does
The deepagents-code-review skill is a specialized static analysis and architectural assistant for OpenClaw users building agents with the Deep Agents framework. It acts as an automated architectural consultant, scanning code snippets for critical configuration errors, common anti-patterns, and lifecycle management issues that often plague complex agentic workflows. Whether you are implementing human-in-the-loop patterns, persistent storage backends, or virtual filesystem integration, this skill ensures your implementation aligns with Deep Agents best practices.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/anderskev/deepagents-code-review
Use Cases
- Pre-deployment Audits: Run this skill on your agent initialization logic to ensure checkpointers and stores are correctly initialized.
- Debugging Lifecycle Errors: If your agents are failing to persist data between threads or interrupting incorrectly, use this skill to diagnose state and backend mismatches.
- Refactoring: Use the tool when migrating agents from simple memory-based setups to complex, multi-backend persistent configurations to catch pathing and scoping issues.
- Code Review: Integrate into your development lifecycle to verify that filesystem access is properly scoped to project directories, preventing potential security misconfigurations.
Example Prompts
- "Review this code snippet for my new agent: [insert code]. Am I missing any critical checkpointer configurations for my interrupt_on setup?"
- "I'm getting a file-not-found error when trying to access data from a previous thread. Can you check if my CompositeBackend implementation is correct?"
- "Does my agent setup expose too much of the system, and what is the best practice for restricting my FilesystemBackend to a specific project folder?"
Tips & Limitations
- Static vs Runtime: This skill performs static analysis; while it catches configuration mismatches, it cannot simulate live runtime network errors.
- Scope: It is specifically optimized for Deep Agents patterns. It will not provide general Python linting advice; focus your queries on agentic structure.
- Pathing: Always provide the full snippet of your agent initialization logic for the most accurate results, especially regarding backend routing or checkpointing strategies.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-anderskev-deepagents-code-review": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
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