← 返回 Skills 市场
pskoett

self-improving agent

作者 pskoett · GitHub ↗ · v3.0.24 · MIT-0
cross-platform ✓ 安全检测通过
464169
总下载
3839
收藏
7019
当前安装
34
版本数
在 OpenClaw 中安装
/install self-improving-agent
功能描述
A skill where the agent logs it's own findings for self-improvement
安全使用建议
Before installing, decide whether you want only manual logging or also automatic reminders. Review hook scripts before enabling them, avoid global hooks unless you want reminders in every session, and do not let the skill save secrets, raw transcripts, or full command output into persistent learning files.
能力评估
Purpose & Capability
The core purpose is coherent: it logs errors, corrections, feature requests, and reusable learnings to local markdown files. Optional hook reminders, OpenClaw integration, and skill scaffolding expand the workflow but remain related to learning capture.
Instruction Scope
The documentation recommends broad prompt-time reminders and optional Bash-output error detection. These are disclosed and opt-in, but users should understand they can influence many sessions if configured globally.
Install Mechanism
Installation is conventional for an OpenClaw skill, with manual clone/copy options and a separately enabled hook. No automatic or hidden install-time persistence was found in the artifacts.
Credentials
The skill writes persistent local learning files and may update agent memory files when the user follows the workflow. The artifacts repeatedly advise avoiding secrets, raw transcripts, and full command output.
Persistence & Privilege
Persistence is limited to local markdown learning files, optional workspace guidance files, and optional hooks. The scripts inspected do not perform network access, credential collection, or destructive actions; the scaffold helper only creates a validated relative skill directory.
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-improving-agent
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /self-improving-agent 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
更新日志
- Improved skill documentation for self-improvement logging, including detailed setup instructions for OpenClaw and generic agents. - Clarified initialization requirements: ensure `.learnings/` directory and key markdown files exist before use. - Added comprehensive quick-reference table mapping common situations (errors, corrections, requests) to specific log files. - Expanded promotion guidance for learnings, with clear targets for AGENTS.md, SOUL.md, TOOLS.md, and project memory. - New, structured markdown templates for logging learnings and errors, focusing on concise, non-sensitive summaries. - Guidance for integrating with OpenClaw sessions and optional auto-reminder hook workflow.
元数据
Slug self-improving-agent
版本 3.0.24
许可证 MIT-0
累计安装 18300
当前安装数 7019
历史版本数 34
常见问题

self-improving agent 是什么?

A skill where the agent logs it's own findings for self-improvement. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 464169 次。

如何安装 self-improving agent?

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

self-improving agent 是免费的吗?

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

self-improving agent 支持哪些平台?

self-improving agent 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 self-improving agent?

由 pskoett(@pskoett)开发并维护,当前版本 v3.0.24。

💬 留言讨论