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在 OpenClaw 中安装
/install self-improving-agent-next
功能描述
记录错误、纠正、能力缺口与最佳实践，形成可复用的持续改进闭环。适用于：命令失败、用户纠正、外部 API/工具异常、发现更优做法、提出新能力需求，以及任务前复盘历史经验。
安全使用建议
This skill appears to do what it says: remind the agent to record learnings and provide safe helper scripts. Before enabling it, consider: (1) whether you want hooks enabled at the user-global level (~/.claude) — enabling globally runs the activator/error-detector on every session, (2) review and, if desired, sandbox or audit the scripts (scripts/extract-skill.sh writes files under the current workspace), (3) if you don't want automatic PostToolUse checks, only enable the activator or add matcher filters per the docs, and (4) ensure .learnings/ file locations and permissions are acceptable for your workflow. Overall the package is internally consistent and proportional to its stated purpose.
功能分析
Type: OpenClaw Skill
Name: self-improving-agent-next
Version: 2.0.1
The 'self-improving-agent' bundle is a legitimate tool designed to help AI agents maintain a structured log of errors, user corrections, and best practices within a workspace. It includes utility scripts like 'extract-skill.sh' for scaffolding new skills and 'error-detector.sh' for identifying command failures, along with OpenClaw hooks to inject reminders into the agent's context. The implementation is transparent, well-documented, and includes safety checks in its shell scripts to prevent directory traversal during file creation.
能力评估
Purpose & Capability
Name/description (capture errors/learnings/promote to skills) match the included files: templates, hook handlers, activator/error-detector scripts, and an extractor for promoting learnings to skills. There are no unrelated environment variables, binaries, or external services requested.
Instruction Scope
SKILL.md instructs writing structured records under .learnings/ and provides templates and promotion rules; the scripts and hook simply surface reminders or detect command output errors. There are no instructions to read unrelated system files, exfiltrate data, or call unexpected external endpoints. The docs reference OpenClaw session utilities (sessions_send, sessions_spawn) as available platform functions but do not instruct the skill to automatically use them.
Install Mechanism
No install spec; this is instruction-and-script based. All code is packaged in the skill and scripts operate locally. No downloads from external URLs or archive extraction are present.
Credentials
The skill declares no required env vars or credentials. The error-detector script reads a CLAUDE_TOOL_OUTPUT environment variable (documented as part of the platform), which is proportional to detecting tool failures. No secrets or unrelated credentials are requested.
Persistence & Privilege
always is false and the skill does not request persistent global privileges. Hook files can be enabled by the user (project or user-level) and scripts run with the agent's normal runtime permissions — this is expected. The extractor writes files under a relative skills directory and includes checks to avoid absolute paths or .. segments.
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-next - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-improving-agent-next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
v2.0.1
Rewrite SKILL.md fully in Chinese
v2.0.0
Initial release
元数据
常见问题
self-improving-agent 是什么？
记录错误、纠正、能力缺口与最佳实践，形成可复用的持续改进闭环。适用于：命令失败、用户纠正、外部 API/工具异常、发现更优做法、提出新能力需求，以及任务前复盘历史经验。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 440 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-next」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（开源免费），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 微云字节（@weiyunbyte）开发并维护，当前版本 v2.0.1。
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