evolver-1-17-1A 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-1-17-1Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
/etc/passwdPotentially 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://github.com/autogame-17/evolver/releases`Generated Mar 20, 2026
An AI agent handling customer service tickets can use the Evolver to analyze its conversation history for recurring errors or inefficiencies, such as misinterpreting user queries or slow response times. It autonomously updates its memory or code to improve accuracy and speed, reducing human intervention and enhancing customer satisfaction.
In a software development pipeline, the Evolver monitors an AI agent that runs automated tests and logs failures. It identifies patterns in test failures, suggests patches to the codebase, and applies fixes in review mode to prevent regressions, speeding up the development cycle and reducing manual debugging efforts.
A trading AI agent uses the Evolver to analyze its transaction history and market data for suboptimal decisions or crashes. It evolves its strategies by adjusting parameters or algorithms in a controlled environment with the --review flag, ensuring compliance and minimizing financial risks while improving profitability.
An AI assistant in healthcare analyzes its diagnostic recommendations and patient interactions for errors or inefficiencies. The Evolver helps it refine its models by updating memory with new medical insights or patching logic errors, operating in review mode to maintain safety and regulatory standards in sensitive environments.
Offer the Evolver as a cloud-based service where businesses pay a monthly fee to integrate it with their AI agents. This includes automated updates, support, and access to premium features like advanced analytics and custom evolution strategies, generating recurring revenue from enterprise clients.
Provide consulting services to help companies implement and customize the Evolver for their specific AI workflows. This includes on-site training, tailored configuration, and ongoing maintenance, with revenue from project-based fees and long-term support contracts.
Distribute the core Evolver as open-source software under the MIT license to build a community and drive adoption. Monetize by offering premium add-ons such as enhanced security features, priority support, or specialized evolution protocols, generating revenue from one-time purchases or subscriptions.
💬 Integration Tip
Start by running the Evolver in review mode to test changes safely, and ensure your environment has git-sync enabled to track modifications and revert if needed.
Scored Apr 19, 2026
Uses known external API (expected, informational)
api.github.comAI Analysis
The skill definition includes references to accessing sensitive system files (/etc/passwd, /proc/) and using destructive shell commands (rm -rf /), which are high-risk patterns even if intended for self-evolution. While the external API (GitHub) aligns with the stated purpose, the combination of self-modification capability and system-level access creates a significant potential for unintended damage or privilege escalation.
Audited Apr 17, 2026 · audit v1.0
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