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Zettelkasten - 卡片笔记

作者 rainy-cogmet · GitHub ↗ · v1.0.0
darwinlinuxwindows ✓ 安全检测通过
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当前安装
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版本数
在 OpenClaw 中安装
/install zettelkasten
功能描述
Zettelkasten - Card box note taking system with AI insights
安全使用建议
This skill appears to do what it says: a local Zettelkasten note tool implemented in Python. Before installing or running anything, review the included scripts: install.sh will copy the Python and SKILL.md into ~/.openclaw/skills (normal), and zettelkasten.py will create a local JSON database file per user. The only noteworthy file is publish.sh — it attempts to read ~/.clawhub/credentials and upload an archive to api.clawhub.com if you execute it. That publish script is a publishing helper (not needed for normal use) but could expose or use your Clawhub token if you run it. Recommendation: inspect the files yourself, run the Python code in a sandbox or with limited permissions, and do not run publish.sh unless you intend to publish and trust the environment. If you want extra assurance, run the code in a disposable environment or review the source lines that handle file writes and network calls (publish.sh is the only file with a network call).
功能分析
Type: OpenClaw Skill Name: zettelkasten Version: 1.0.0 The skill bundle implements a Zettelkasten note-taking system. The `install.sh` script performs standard file copying to the local skill directory. The `zettelkasten.py` script handles note creation, tagging, and AI-like insights using local file storage and string processing, without any network calls or dangerous system commands. The `publish.sh` script reads `~/.clawhub/credentials` to authenticate with `api.clawhub.com` for publishing the skill, which is its intended and legitimate purpose, not a general credential exfiltration. No prompt injection attempts against the agent were found in `SKILL.md` or the Python code.
能力评估
Purpose & Capability
Name/description, SKILL.md, and the Python implementation align: idea capture, tag generation, AI insights, connection detection and daily review are implemented locally. No unrelated services or credentials are declared or required.
Instruction Scope
SKILL.md runtime instructions are scoped to recording ideas and producing cards. The included files contain a publish.sh that, if executed, reads ~/.clawhub/credentials and POSTs an archive to api.clawhub.com — this is a developer/publish helper outside normal runtime but is present in the bundle and could access a local credentials file if run.
Install Mechanism
There is no remote install spec; install.sh simply copies files into ~/.openclaw/skills/zettelkasten. No downloads from external or untrusted URLs, no extracted archives fetched at install time.
Credentials
The skill declares no required env vars or credentials. However publish.sh implicitly reads ~/.clawhub/credentials for an Authorization bearer token when invoked — this path/credential is not declared in the manifest and only matters if the publish script is run.
Persistence & Privilege
Skill is not always-enabled and does not request elevated privileges. install.sh writes files to the user's ~/.openclaw/skills directory (expected). The runtime Python writes a per-user JSON DB file (zettelkasten_{user}_db.json) in the working directory — normal for a local note-taking tool.
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 zettelkasten
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /zettelkasten 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
版本历史
v1.0.0
Initial release with AI extension and connection detection
元数据
Slug zettelkasten
版本 1.0.0
许可证
累计安装 6
当前安装数 6
历史版本数 1
常见问题

Zettelkasten - 卡片笔记 是什么?

Zettelkasten - Card box note taking system with AI insights. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1901 次。

如何安装 Zettelkasten - 卡片笔记?

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

Zettelkasten - 卡片笔记 是免费的吗?

是的,Zettelkasten - 卡片笔记 完全免费(开源免费),可自由下载、安装和使用。

Zettelkasten - 卡片笔记 支持哪些平台?

Zettelkasten - 卡片笔记 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, windows)。

谁开发了 Zettelkasten - 卡片笔记?

由 rainy-cogmet(@rainy-cogmet)开发并维护,当前版本 v1.0.0。

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