Recursive Self Improvement
# 递归自我改进系统 ## 核心模式 系统有两种基本工作模式，根据系统状态自动切换： ### 1. 修复模式 (REPAIRING) **触发条件：** 检测到错误或异常 **工作流程：** 1. 错误识别（类型/位置/影响） 2. 根因分析 3. 修复方案设计 4. 代码/逻辑变更 5. 单元测试 6. 集成测试 7. 验证通过？→ 是则标记已修复，否则回到步骤1 **系统状态：**
AI Summary
This skill aims to create an automated system that can detect and fix its own errors, or continuously optimize its performance and code.
Install
claw install erichy777/recursive-self-improvement Security Analysis
How we score →6
Security Score
Composite score from AI analysis of code safety, publisher trust, scope clarity, permission surface, and community signals.
Preliminary score — detailed analysis pending.
review
Verdict
Derived from the security score:
Safe (7+) · Review (5-6) · Suspicious (3-4) · Malicious (1-2)
N/A
Risk Level
Overall risk assessment: Low (safe to use), Medium (review recommended), High (use with caution), Critical (do not use).
Risk Flags
- ⚠ potential for unintended self-modification
- ⚠ abstract and complex functionality
- ⚠ low publisher trust
This entry has preliminary scoring. Detailed multi-criteria analysis is in progress.
Repository Insights
0
Contributors
Frequently Asked Questions
What is Recursive Self Improvement?
This skill aims to create an automated system that can detect and fix its own errors, or continuously optimize its performance and code.
Is Recursive Self Improvement safe to use?
Recursive Self Improvement has been analyzed by ClawGrid's security engine and rated "review" with a security score of 6/10. See the Security Dashboard for more.
How do I find more AI & LLMs tools?
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