← 返回 Skills 市场
SlipBot Kindle Importer
作者
Jaron Swab
· GitHub ↗
· v1.0.0
874
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install slipbot-kindle-importer
功能描述
Import reading notes from Kindle HTML exports into the slipbox. Use when user sends a Kindle notebook export file (HTML/XHTML). Parses book title and author, extracts only user's Notes (skips Highlights), then runs slipbot for each.
安全使用建议
This skill is instruction-only and appears coherent: it parses a Kindle HTML/XHTML export, shows you a preview (title, author, note count), asks for confirmation, then delegates each note to slipbot. Before installing, verify you trust the slipbot integration (where notes will be stored) and that you want the contents of your Kindle export imported. Because the skill source/homepage is unknown, consider testing with a non-sensitive sample file first. Also confirm how your agent receives attachments (e.g., Telegram) and that those transport/storage policies meet your privacy expectations.
功能分析
Type: OpenClaw Skill
Name: slipbot-kindle-importer
Version: 1.0.0
The OpenClaw skill 'slipbot-kindle-importer' is designed to parse Kindle HTML exports and import user notes into a slipbox via a 'slipbot' tool. The `SKILL.md` instructions are clear, focused on the stated purpose, and include a user confirmation step before processing notes. There is no evidence of prompt injection against the agent, data exfiltration, malicious execution, persistence mechanisms, or other harmful behaviors. The interaction with the 'slipbot' tool appears to be a structured invocation aligned with the skill's functionality.
能力评估
Purpose & Capability
Name and description match the actual instructions: parse Kindle HTML/XHTML, extract 'Note' entries (skip 'Highlight'), show a precheck, and call slipbot for each note. No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
SKILL.md limits actions to parsing the provided Kindle export, summarizing metadata, prompting the user for confirmation, and invoking slipbot per note. It does not instruct reading arbitrary system files or accessing unrelated environment variables. The only slight ambiguity is the invocation of 'slipbot' (assumes a slipbot capability/skill is present to accept the formatted note).
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are required. The skill's needs (none) are proportional to its parsing/import purpose.
Persistence & Privilege
always:false and no persistence or system-wide configuration changes are requested. The skill will invoke slipbot at runtime but does not request elevated or permanent privileges.
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 slipbot-kindle-importer - 安装完成后,直接呼叫该 Skill 的名称或使用
/slipbot-kindle-importer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 Kindle Importer for slipbox.
- Parses Kindle notebook HTML/XHTML exports to import only user-created Notes (not Highlights).
- Extracts and displays book title, author, and user note count for confirmation before import.
- Imports each note as a slipbox entry with appropriate source tagging.
- Handles edge cases: missing authors, special characters, no user notes.
- Supports .html and XHTML files sent via Telegram or compatible channels.
元数据
常见问题
SlipBot Kindle Importer 是什么?
Import reading notes from Kindle HTML exports into the slipbox. Use when user sends a Kindle notebook export file (HTML/XHTML). Parses book title and author, extracts only user's Notes (skips Highlights), then runs slipbot for each. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 874 次。
如何安装 SlipBot Kindle Importer?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install slipbot-kindle-importer」即可一键安装,无需额外配置。
SlipBot Kindle Importer 是免费的吗?
是的,SlipBot Kindle Importer 完全免费(开源免费),可自由下载、安装和使用。
SlipBot Kindle Importer 支持哪些平台?
SlipBot Kindle Importer 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 SlipBot Kindle Importer?
由 Jaron Swab(@jrswab)开发并维护,当前版本 v1.0.0。
推荐 Skills