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在 OpenClaw 中安装
/install wangkang-skill1
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 local-only: it adds reminders, templates, and small helper scripts for capturing learnings. Before enabling or running anything: 1) Review the hook and scripts (they are small and readable) so you understand what will run and when. 2) If you enable the OpenClaw hook, remember it injects a reminder at session bootstrap (it does not phone home). 3) Be cautious when promoting learnings or logging full tool outputs into workspace files — those logs can contain sensitive data (API keys, error traces, or transcripts). 4) If you only want lightweight reminders, enable the activator and skip the PostToolUse/error-detector; if you avoid running extract-skill.sh you avoid creating new files automatically. Overall the skill is consistent with its stated purpose, but treat any promoted logs as potential sensitive artifacts and review them before sharing.
功能分析
Type: OpenClaw Skill
Name: wangkang-skill1
Version: 1.0.4
The skill bundle implements a 'self-improvement' framework designed to help AI agents log errors, user corrections, and new insights into a structured `.learnings/` directory. It utilizes OpenClaw hooks (`handler.js`, `handler.ts`) to inject reminders into the agent's bootstrap process and provides utility scripts (`activator.sh`, `error-detector.sh`, `extract-skill.sh`) to automate the logging and skill-creation workflow. The code and instructions are transparent, align with the stated purpose, and include basic security checks, such as path traversal validation in the skill extraction script.
能力评估
Purpose & Capability
Name/description (capture learnings, errors, promote fixes) align with provided files: SKILL.md, three small shell scripts, and OpenClaw hook handlers. None of the files request unrelated cloud credentials, network calls, or binaries that would be disproportionate for a logging/self-improvement tool.
Instruction Scope
The SKILL.md instructs the agent/user to create and update .learnings/ files and to optionally copy/enable a hook under ~/.openclaw/hooks. The skill also references OpenClaw session APIs (sessions_list, sessions_history, sessions_send, sessions_spawn). Those are platform features — their use is coherent for a cross-session learning workflow, but they imply the agent may read or reference session transcripts and that learnings can be promoted into shared workspace files (SOUL.md, AGENTS.md, etc.). That promotion is user-directed, but could persist sensitive content if not reviewed.
Install Mechanism
There is no automated installer; the skill is instruction-first and ships small local scripts and hook handlers. extract-skill.sh creates files in a relative ./skills directory and contains path checks to avoid absolute paths or '..'. scripts are small, inspectable, and have no network/download steps. This is an expected, low-risk pattern for a local helper.
Credentials
The skill declares no required environment variables, which matches its purpose. One script (scripts/error-detector.sh) reads CLAUDE_TOOL_OUTPUT to detect errors; that env var is an expected runtime artifact in OpenClaw/Claude integrations but is not listed in frontmatter. No credentials or secrets are requested.
Persistence & Privilege
always:false and no special privileges are requested. Enabling the hook (openclaw hooks enable ...) will cause the handler to inject a virtual reminder at agent bootstrap; hooks run with the same permissions as the agent runtime. This behavior is expected for a reminder/logging skill, but combined with the skill's encouragement to promote learnings across workspace files and sessions, users should review any content before promoting to shared files.
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 wangkang-skill1 - 安装完成后,直接呼叫该 Skill 的名称或使用
/wangkang-skill1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
v1.0.4
No code or documentation changes detected in this version.
- Version bump with no visible file or content changes.
- No new features, fixes, or documentation updates included.
- Existing functionality and instructions remain unchanged.
v1.0.3
Self-improvement skill documentation and workflow formalized for OpenClaw and other agent platforms.
- Added detailed SKILL.md explaining continuous improvement workflow via structured logging of learnings, errors, and feature requests.
- Provided quick reference tables for when and where to log different experience types.
- Documented project workspace structure, file formats, and promotion paths for broadly applicable insights.
- Included OpenClaw setup, automation hook instructions, and integration tips for other platforms.
- Standardized Markdown formats for learnings, errors, and feature request entries, including metadata and resolution tracking.
元数据
常见问题
wangkang-skill 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 230 次。
如何安装 wangkang-skill?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wangkang-skill1」即可一键安装,无需额外配置。
wangkang-skill 是免费的吗?
是的,wangkang-skill 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
wangkang-skill 支持哪些平台?
wangkang-skill 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 wangkang-skill?
由 wangkang5(@wangkang5)开发并维护,当前版本 v1.0.4。
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