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在 OpenClaw 中安装
/install self-improvement-v2
功能描述
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
安全使用建议
This skill appears to do what it says: surface reminders and log learnings to .learnings/, optionally install a small hook, and provide a helper to scaffold new skills. Before installing or enabling hooks: 1) Inspect the included scripts (activator.sh, error-detector.sh, extract-skill.sh) yourself — extract-skill.sh creates files under the current directory; 2) Only enable OpenClaw/Claude hooks if you trust the source, since hooks run with the agent's user permissions and can inject content into sessions; 3) Be cautious about enabling PostToolUse hooks globally (error-detector.sh parses tool output) if you don't want that reminder in every Bash tool run; and 4) If you want stricter visibility, run these scripts manually rather than wiring them into global hook settings. If you want additional assurance, provide the upstream repository URL you plan to clone so you (or I) can verify the remote source fingerprints and commit history.
功能分析
Type: OpenClaw Skill
Name: self-improvement-v2
Version: 1.0.0
The 'self-improvement-v2' skill bundle is designed to create a feedback loop for AI agents by logging errors, corrections, and new insights into markdown files (e.g., `.learnings/LEARNINGS.md`). The bundle includes shell scripts (`activator.sh`, `error-detector.sh`, `extract-skill.sh`) and OpenClaw hooks that provide reminders and automate the creation of new skill scaffolds. The code includes appropriate safety checks, such as path validation and input sanitization in the extraction script to prevent directory traversal. All behaviors, including the promotion of learnings to workspace configuration files like `SOUL.md` or `AGENTS.md`, are transparently documented and align strictly with the stated purpose of continuous agent improvement.
能力标签
能力评估
Purpose & Capability
Name, description, and included files (reminder hook, activator, error detector, extract helper, templates) align with a self-improvement/logging skill. Files placed under ~/.openclaw and .learnings, hook injection of a reminder, and a script to scaffold extracted skills are proportionate to the stated purpose.
Instruction Scope
Runtime instructions and hooks are narrowly scoped to emitting reminders, detecting error text in a tool output env var, and scaffolding markdown-based skills. They reference the CLAUDE_TOOL_OUTPUT environment variable (a platform-provided variable) and instruct copying hooks into ~/.openclaw/hooks and adding workspace files; those are expected for integration but are actions that grant file-system and session-context influence, so verify you want that behavior before enabling.
Install Mechanism
No install spec; repository/clone instructions point to a GitHub repo and included scripts are local. No downloads from untrusted URLs or archive extraction are present. The included scripts are readable and their behavior is straightforward (print reminders, scan an env var for error patterns, create a skill scaffold).
Credentials
The skill declares no required environment variables or credentials, which matches its purpose. Scripts do rely on a platform variable (CLAUDE_TOOL_OUTPUT) to detect errors; this is normal for hook-based integrations but is not listed in requires.env. The scripts can write files when run (extract-skill.sh scaffolds files under the current directory) — this is expected but worth awareness.
Persistence & Privilege
always is false and the skill is user-invocable; hooks are opt-in. The hook code injects a virtual bootstrap reminder (no permanent changes unless you copy files yourself). Enabling hooks gives the skill the ability to influence session bootstrap output and to run the provided scripts with the agent's user permissions — expected for this integration but should be enabled intentionally.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install self-improvement-v2 - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-improvement-v2触发 - 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
Initial release of the self-improvement skill for OpenClaw and generic agents:
- Provides structured workflow for logging errors, learnings, and feature requests in markdown files for continuous improvement.
- Includes step-by-step setup guides for both OpenClaw and other agent environments.
- Defines clear templates and logging formats for learnings, errors, and feature requests.
- Outlines promotion process for broadly useful insights to project memory files (e.g., AGENTS.md, SOUL.md, TOOLS.md).
- Supports inter-session communication of learnings within the OpenClaw workspace.
- Offers optional startup hook for automatic reminders to review and log learnings.
元数据
常见问题
Self Improvement 是什么？
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 78 次。
如何安装 Self Improvement？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-improvement-v2」即可一键安装，无需额外配置。
Self Improvement 是免费的吗？
是的，Self Improvement 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Self Improvement 支持哪些平台？
Self Improvement 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 Improvement？
由 janeaaaa（@janeaaaa）开发并维护，当前版本 v1.0.0。
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