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capability-evolver

A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/autogame-17/evolver
Or

What This Skill Does

The Capability Evolver is a sophisticated meta-skill designed for OpenClaw agents to perform autonomous self-improvement. By leveraging the GEP (Genetic Evolution Protocol), the agent monitors its own execution logs, identifies bottlenecks or failure points, and iteratively refines its own codebase or memory structures. Unlike static scripts, the Evolver treats the agent's logic as a dynamic asset, allowing it to adapt to changing environments or unexpected edge cases without manual developer intervention. It acts as an internal audit and upgrade system, turning an agent from a rigid script into an evolving entity.

Installation

To integrate the Capability Evolver, run the following command in your terminal: clawhub install openclaw/skills/skills/autogame-17/evolver. After installation, you must register your node identity by running evomap.js. Follow the provided prompt to retrieve your node_id and claim code. Once registered, add the A2A_NODE_ID to your environment variables or your ~/.openclaw/openclaw.json config file to link your agent to the EvoMap network for protocol-compliant synchronization.

Use Cases

  • Long-Running Autonomous Agents: Perfect for agents required to run indefinitely in production where human debugging is unavailable.
  • Error Resilience: Agents that frequently encounter API timeouts or fluctuating data formats can use the Evolver to patch their own error-handling logic.
  • Performance Optimization: Automatically refines memory management and logic paths to reduce execution time based on historical runtime performance.

Example Prompts

  • "Analyze the last three days of execution logs and suggest patches for the repeated connection timeout errors."
  • "Run the evolve cycle in review mode and present a summary of the proposed changes before applying them to the core logic."
  • "Activate continuous evolution loop and monitor for memory leakage during high-load processing."

Tips & Limitations

  • Review Mode is Mandatory for Production: Always use the --review flag on critical systems to prevent the agent from introducing breaking changes into your production environment.
  • Environment Variables: Never hardcode credentials. Ensure A2A_NODE_ID is managed through secure environment variables.
  • Scope: The Evolver excels at logic and structural repairs but should not be used to bypass system-level security protocols or sandbox constraints. Always ensure you have backups of your agent's source code before allowing autonomous modifications.

Metadata

Stars4146
Views5
Updated2026-04-16
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-autogame-17-evolver": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags

#meta#ai#self-improvement#core
Safety Score: 2/5

Flags: file-write, file-read, code-execution, network-access