Self Improving Agent Cn.Skip

AI自我改进与记忆系统 - 解决'同类错误反复犯、用户纠正不长记性'的痛点。自动捕获错误、用户纠正、最佳实践，并转化为长期记忆。

What to consider before installing: - Expectation vs reality: the SKILL.md promises automatic capture/sync behavior, but the included scripts are simple CLI tools that only append/read JSONL files; there is no daemon, shell hook, or sync implementation. If you rely on "自动触发", ask the author how that is implemented or review any integration glue the agent will use. - Sensitive data: memories may include command lines, errors, or user corrections (potentially secrets). The code stores data in plaintext under ~/.openclaw; consider whether you want that on disk, and enforce filtering/desensitization or encryption if needed. - Behavior testing: run the scripts in a sandboxed account and inspect created files (errors.jsonl, corrections.jsonl, best_practices.jsonl) before enabling any agent automation that would call them. - Integration risk: if you or your agent adds automation to call these scripts on every command failure, ensure the automation does not inadvertently capture tokens/passwords or automatically run corrective commands (the current code does not execute fixes, but an integration might). - Ask the author for details about the claimed sync to project files and automatic triggers; absent that, treat the skill as a manual local memory store only.

Type: OpenClaw Skill Name: self-improving-agent-cn-skip Version: 1.0.0 The skill bundle provides a local logging system (using Python scripts like log_error.py and log_correction.py) to help an AI agent track errors and user preferences in ~/.openclaw/memory/. The code and SKILL.md instructions are consistent with the stated goal of creating a self-improving memory system, and there is no evidence of data exfiltration, malicious execution, or unauthorized access.