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在 OpenClaw 中安装
/install self-improving-agent-hxh
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 coherent and implements only local reminders, logging conventions, and optional helper scripts. Before enabling hooks or running scripts: (1) review the hook and shell scripts (activator.sh, error-detector.sh, extract-skill.sh) to confirm you accept their behavior; (2) be aware that enabling the OpenClaw hook will inject a virtual reminder into session bootstrap and that the activator/error-detector may run with the agent's permissions; (3) the extract-skill script can create files under your workspace—run it only where you want those files created; (4) clone the GitHub repo only if you trust its source. If you want to be extra cautious, enable only the activator (read-only reminder) and avoid enabling PostToolUse hooks or running the extractor until reviewed.
功能分析
Type: OpenClaw Skill
Name: self-improving-agent-hxh
Version: 1.0.0
The self-improving-agent-hxh skill bundle is a productivity tool designed to help AI agents log errors, user corrections, and new insights into a structured `.learnings/` directory. It includes bash scripts (activator.sh, error-detector.sh, extract-skill.sh) and OpenClaw hooks (handler.js/ts) that provide reminders and automate the scaffolding of new skills from logged entries. The logic is transparent, aligns with the stated purpose of continuous improvement, and includes appropriate safety checks in the extraction script to prevent path traversal via the skill name.
能力评估
Purpose & Capability
The name/description (capture learnings, errors, promote learnings) align with the included documentation, hook handlers, and helper scripts. The files only implement reminders, local logging conventions, and a helper to scaffold new skills; none request unrelated capabilities (no cloud creds, no unusual binaries).
Instruction Scope
SKILL.md instructs creating and writing local files under a .learnings directory and optionally installing an OpenClaw hook. The hooks/scripts operate on local context (inject virtual bootstrap file, read CLAUDE_TOOL_OUTPUT, and output reminder text). The skill documentation mentions cross-session APIs (sessions_list/history/send/spawn) but the shipped code does not call external sessions or transmit data outside the agent; still, enabling hooks gives the skill the ability to inject workspace context and to write files in the workspace, which is expected for this purpose.
Install Mechanism
No automated install spec is included (instruction-only skill). Manual install instructions use git clone from a public GitHub repo (reasonable). The only executable artifacts are local shell scripts and hook handlers; there are no remote downloads or extracted archives in the install process.
Credentials
The skill declares no required env vars or credentials. The error-detector hook reads CLAUDE_TOOL_OUTPUT if present (an agent-provided environment variable) — this is consistent with its purpose. No secrets/keys are requested.
Persistence & Privilege
The skill is not always-enabled (always:false) and is user-invocable. Hooks are optional and only active if the user copies/enables them. The extract-skill script can create files under the current workspace when run, which is expected and requires explicit execution.
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-improving-agent-hxh - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-improving-agent-hxh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
元数据
常见问题
Self Improving Agent 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 198 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-hxh」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 trump（@trumphuang）开发并维护，当前版本 v1.0.0。
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