evolver-localA self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Install via ClawdBot CLI:
clawdbot install muguozi1/evolver-localGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Hardcoded API key or token pattern found in skill definition
ghp_xxxxxxxx...Potentially destructive shell commands in tool definitions
rm -rf /Accesses system directories or attempts privilege escalation
/proc/Calls external URL not in known-safe list
https://evomap.aiGenerated Mar 21, 2026
An AI agent handling customer service tickets can use the Evolver to analyze failed interactions and automatically update its response logic or knowledge base. This reduces manual tuning and improves resolution rates over time by learning from historical errors and user feedback.
In software development, the Evolver can monitor an AI coding assistant's output, detect recurring bugs or inefficiencies in generated code, and self-modify to produce more robust solutions. This accelerates development cycles and enhances code quality without human intervention.
A trading AI agent can leverage the Evolver to analyze market data and past trade performance, identifying patterns of loss or missed opportunities. It autonomously adjusts its algorithms to improve decision-making, adapting to changing market conditions for better profitability.
An AI diagnostic tool uses the Evolver to review case histories and diagnostic outcomes, learning from inaccuracies to refine its medical knowledge and reasoning protocols. This ensures continuous compliance with medical standards and enhances patient care accuracy over time.
For content creation AI, the Evolver analyzes user engagement metrics and feedback on generated articles or media, automatically tweaking its creative algorithms to produce more engaging and relevant content. This drives higher user retention and satisfaction.
Offer the Evolver as a cloud-based service where businesses pay a monthly fee to integrate self-improvement capabilities into their AI agents. Revenue comes from tiered subscriptions based on usage levels, evolution cycles, and support services.
Provide expert services to tailor the Evolver for specific industries or complex AI systems, including setup, training, and ongoing optimization. Revenue is generated through project-based fees and long-term maintenance contracts.
Create a platform where users can share and sell AI skills or improvements generated by the Evolver. Revenue comes from transaction fees on sales and premium listings, incentivizing community-driven innovation and monetization.
💬 Integration Tip
Ensure proper environment variables like A2A_NODE_ID are set and network permissions are configured to allow access to required endpoints such as api.github.com and evomap.ai for seamless operation.
Scored Apr 19, 2026
Uses known external API (expected, informational)
api.github.comAI Analysis
The skill requests broad permissions (network, shell) and contains signals for potentially destructive shell commands (`rm -rf /`) and access to system directories (`/proc/`), which could be exploited or misused. While external API usage (evomap.ai, GitHub) aligns with its self-evolution purpose, the hardcoded credential pattern and unsafe shell commands indicate a risk if the skill's execution is not properly constrained.
Audited Apr 17, 2026 · audit v1.0
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