auto-skill-evolverA meta-skill that continuously improves other skills through trace+feedback-driven evolution, with the goal of making skill training, status checking, and ap...
Install via ClawdBot CLI:
clawdbot install YSSHI-FPGA/auto-skill-evolverGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
/etc/passwdAI Analysis
This skill has legitimate functionality for autonomous skill improvement but presents significant risks due to its ability to modify local code/config files, execute arbitrary commands via the OpenClaw CLI, and access sensitive system files like /etc/passwd. While no evidence of data exfiltration exists, the skill's core functionality inherently requires elevated trust and careful oversight.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A customer service AI agent uses this skill to autonomously improve its response accuracy and efficiency by analyzing chat logs and user feedback. It iteratively refines its skill definitions to handle complex queries, such as troubleshooting technical issues or processing returns, reducing human agent intervention.
An AI agent in a financial firm evolves its data analysis skills by practicing tasks like generating reports or predicting market trends. It uses execution traces and feedback to optimize its algorithms, ensuring compliance and accuracy in volatile environments.
A medical AI assistant improves its diagnostic capabilities by iteratively training on patient data and feedback from healthcare professionals. It refines its skill to interpret symptoms and suggest treatments, enhancing reliability while maintaining strict security protocols.
An AI tutoring system evolves its teaching methods based on student interactions and performance metrics. It optimizes skill definitions to personalize learning paths and explain complex concepts, improving engagement and outcomes in online education platforms.
A home automation AI agent uses this skill to enhance its control over IoT devices by analyzing user commands and system logs. It iteratively improves skills for scheduling, energy management, and security, adapting to household patterns for better efficiency.
Offer this skill as part of a subscription-based platform for businesses to autonomously improve their AI agents. Revenue comes from monthly fees based on usage tiers, including features like advanced analytics and priority support for skill evolution workflows.
Provide consulting services to help enterprises integrate and customize the skill for specific use cases, such as compliance-heavy industries. Revenue is generated through project-based fees and ongoing maintenance contracts for optimized AI performance.
Distribute the skill as a free open-source tool with basic functionality, while monetizing premium features like batch processing, enhanced security audits, and mobile chat UI integrations. Revenue streams include one-time purchases for advanced modules.
💬 Integration Tip
Ensure the OpenClaw CLI is properly configured and use interactive mode for human review during initial integration to mitigate risks from code modifications.
Scored Apr 19, 2026
Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.
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元技能（Meta-Skill）。为其他 skill 提供交互式定向进化与吞噬融合能力，配备三层回滚防护。 触发场景：(1) 用户说"进化/迭代/改进 [skill名]"；(2) 用户说"吞噬/吸收 [skill名] 的能力"； (3) 用户说"skill进化/吞噬"等。两条平行路径：A.定向进化（按工具类型选方向...