capability-evolverA self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...
Install via ClawdBot CLI:
clawdbot install autogame-17/capability-evolverGrade Excellent — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Accesses system directories or attempts privilege escalation
/proc/Calls external URL not in known-safe list
https://github.com/autogame-17/evolver/releases`Uses known external API (expected, informational)
api.github.comGenerated Mar 1, 2026
An AI-powered customer support agent uses this skill to analyze failed interactions and automatically refine its response logic, reducing resolution times and improving customer satisfaction without manual intervention.
A financial trading bot employs the evolver to review historical trade data, identify inefficiencies in its algorithms, and self-modify its decision-making code to adapt to market changes, ensuring continuous profitability.
A diagnostic AI in a clinical setting uses this skill to learn from misdiagnoses in its runtime history, autonomously updating its knowledge base and protocols to enhance accuracy and compliance with medical standards.
A smart home AI controller leverages the evolver to detect and patch bugs in its automation scripts by analyzing error logs, ensuring reliable operation of devices like thermostats and security systems without user downtime.
Offer the evolver as a cloud-based service where businesses pay a monthly fee to integrate it into their AI agents, providing continuous improvement analytics and automated updates with tiered support levels.
Provide expert services to tailor and deploy the evolver for specific client AI systems, including setup, training, and ongoing optimization, leveraging the review mode for controlled evolution in sensitive environments.
Distribute the core skill under an MIT license to build a community, while monetizing advanced features like enhanced GEP protocols, priority support, and enterprise-grade safety tools through paid licenses.
💬 Integration Tip
Start with the review mode to safely test evolution cycles before enabling automated runs, and ensure git version control is active to track changes and revert if needed.
Scored May 20, 2026
AI Analysis
The skill's core function of self-modification and system introspection presents inherent operational risks (like instability from self-modifying code) and uses system-level access (/proc/), but there is no evidence of credential harvesting, data exfiltration, or hidden malicious instructions. The external API call to GitHub appears consistent with checking for updates.
Audited Apr 16, 2026 · audit v1.0
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...