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OpenClaw自动进化系统

作者 Junge · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install openclaw-auto-evolve
功能描述
OpenClaw 自进化系统 - 让AI具备自我学习与自我提升能力 通过「犯错→学习→提炼→强化」的闭环机制,实现真正的自我改进 核心能力:自动发现问题、分析根因、提出建议、验证效果、落地形成规则
安全使用建议
This skill appears to do what it claims at a basic level and does not request secrets or network access. Before installing: (1) decide where files will be written by setting OPENCLAW_WORKSPACE to a dedicated, non-root directory you control (the default is /root/.openclaw/workspace); (2) be aware SKILL.md promises extra features (automatic rule initialization, layered memory) that are not implemented in the shipped Python — treat it as a lightweight, file-backed helper rather than a full self‑evolution framework; (3) if you want stronger guarantees, review or run the Python in a sandbox to confirm behavior and inspect any files it creates (auto_learned_rules.md, daily learning files).
功能分析
Type: OpenClaw Skill Name: openclaw-auto-evolve Version: 1.0.0 The skill bundle implements a basic 'self-evolution' framework for an AI agent, focusing on health monitoring and logging insights to local markdown files. The Python script (self_evolution.py) performs standard file I/O within the designated workspace and lacks any high-risk behaviors such as network requests, shell execution, or access to sensitive system credentials.
能力评估
Purpose & Capability
Name/description promise a self-evolution system; the provided Python implements health checks, rule-summary reads, and a learning-record writer under a workspace directory. There are no unrelated credentials, binaries, or external accesses requested.
Instruction Scope
SKILL.md advertises features like layered memory management, automatic rule‑library initialization, and cross-session persistence; the code implements a basic file-backed learning recorder, a health checker, and rule-summary reader but does not contain explicit initialization of a rules DB or advanced memory layer logic described in the docs. This is a mismatch (feature claims > implemented behavior).
Install Mechanism
No install spec and only a small Python file are included. No network downloads or package installs are performed by the skill itself, so install risk is low.
Credentials
The code uses a single optional env var OPENCLAW_WORKSPACE to locate its workspace (default /root/.openclaw/workspace). No credentials, tokens, or unrelated env vars are requested. Note: the default path under /root may be surprising; it will create/read files there unless overridden.
Persistence & Privilege
The skill reads/writes files only under its declared workspace path (STATE_DIR and .learnings). always is false and it does not modify other skills or global agent config. Persistence is local to its workspace.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install openclaw-auto-evolve
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /openclaw-auto-evolve 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
OpenClaw 自进化系统 1.0.0 发布: - 实现自动问题发现、根因分析、建议生成与验证效果的自我进化闭环 - 支持多层记忆管理,分为核心记忆与次要记忆 - 集中式规则库,自动置信度调整及隐私分级 - 系统提供健康评分、状态追踪和预警功能 - 提供关键词与命令触发方式 - 首次运行自动初始化,推荐配合 memory 模块使用
元数据
Slug openclaw-auto-evolve
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

OpenClaw自动进化系统 是什么?

OpenClaw 自进化系统 - 让AI具备自我学习与自我提升能力 通过「犯错→学习→提炼→强化」的闭环机制,实现真正的自我改进 核心能力:自动发现问题、分析根因、提出建议、验证效果、落地形成规则. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 377 次。

如何安装 OpenClaw自动进化系统?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-auto-evolve」即可一键安装,无需额外配置。

OpenClaw自动进化系统 是免费的吗?

是的,OpenClaw自动进化系统 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

OpenClaw自动进化系统 支持哪些平台?

OpenClaw自动进化系统 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 OpenClaw自动进化系统?

由 Junge(@xiejianjun000)开发并维护,当前版本 v1.0.0。

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