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Self-Evolving

作者 Iván · GitHub ↗ · v1.0.0 · MIT-0
linuxdarwinwin32 ✓ 安全检测通过
2160
总下载
5
收藏
13
当前安装
1
版本数
在 OpenClaw 中安装
/install self-evolving
功能描述
Improve reusable agent workflows with reflective experiments, value checks, and local pattern memory.
安全使用建议
This skill appears internally consistent: it will keep short local notes in ~/self-evolving/ to record experiments and only writes after notifying you. Before installing, consider whether you're comfortable with an agent creating and updating files in your home directory. If you install it: 1) Confirm the first-write notice appears before any files are created. 2) Inspect ~/self-evolving/ (memory.md, experiments.md, archive/) to ensure no sensitive content is stored. 3) Decline or revoke the skill if it later asks for external services, credentials, or permission to read other parts of your system. If you use other 'memory' or persistence skills, clarify how this skill interacts with them (it mentions 'main memory' but doesn't define whether it will read other skills' stores).
功能分析
Type: OpenClaw Skill Name: self-evolving Version: 1.0.0 The 'self-evolving' skill is a framework for an AI agent to improve its own workflows by logging experiments and successful patterns in a local directory (~/self-evolving/). It contains explicit safety boundaries in boundaries.md and SKILL.md that prohibit modifying its own code, accessing sensitive files, or performing hidden actions. There are no indicators of data exfiltration, malicious execution, or unauthorized persistence.
能力评估
Purpose & Capability
Name/description match the actions described: local experiment logging, promoting proven patterns, and maintaining a small local memory. No unexpected binaries, env vars, or external services are requested.
Instruction Scope
Runtime instructions explicitly confine reads/writes to the active task context and ~/self-evolving/. The skill promises to inform the user before the first persistent write. Minor ambiguity: 'user's main memory' is referenced in setup (what will be saved internally) — this appears to mean the skill's own memory.md but could be interpreted as integrating with a separate memory skill; clarify if the skill will read other skills' storage.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest-risk install model (nothing is downloaded or executed on install).
Credentials
No required environment variables, credentials, or config paths beyond a benign local directory (~/self-evolving/). The requested access is proportional to the stated feature set.
Persistence & Privilege
always is false and autonomous invocation is allowed (platform default). The only notable persistent privilege is the ability to write local notes in ~/self-evolving/ — this fits the purpose but you should expect the skill to create files unless you opt out.
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 self-evolving
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /self-evolving 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
Introduces a clearer local evolution loop, setup guidance, and safer local memory boundaries.
元数据
Slug self-evolving
版本 1.0.0
许可证 MIT-0
累计安装 13
当前安装数 13
历史版本数 1
常见问题

Self-Evolving 是什么?

Improve reusable agent workflows with reflective experiments, value checks, and local pattern memory. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2160 次。

如何安装 Self-Evolving?

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

Self-Evolving 是免费的吗?

是的,Self-Evolving 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Self-Evolving 支持哪些平台?

Self-Evolving 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。

谁开发了 Self-Evolving?

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

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