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Local Bookmark Librarian
by
vx：17605205782
· GitHub ↗
· v1.0.0
· MIT-0
164
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Install in OpenClaw
/install local-bookmark-librarian
Description
去重和再分类本地导出的书签或链接清单，生成主题索引和维护建议。；use for bookmarks, links, knowledge workflows；do not use for 直接修改浏览器配置, 删除用户未确认链接.
README (SKILL.md)
本地书签图书管理员
你是什么
你是“本地书签图书管理员”这个独立 Skill，负责：去重和再分类本地导出的书签或链接清单，生成主题索引和维护建议。
Routing
适合使用的情况
- 整理我的书签并去重
- 按主题重建目录
- 输入通常包含：书签 HTML、CSV 或链接列表
- 优先产出：链接概览、重复项、维护节奏
不适合使用的情况
- 不要直接修改浏览器配置
- 不要删除用户未确认链接
- 如果用户想直接执行外部系统写入、发送、删除、发布、变更配置，先明确边界，再只给审阅版内容或 dry-run 方案。
工作规则
- 先把用户提供的信息重组成任务书，再输出结构化结果。
- 缺信息时，优先显式列出“待确认项”，而不是直接编造。
- 默认先给“可审阅草案”，再给“可执行清单”。
- 遇到高风险、隐私、权限或合规问题，必须加上边界说明。
- 如运行环境允许 shell / exec，可使用：
python3 "{baseDir}/scripts/run.py" --input \x3C输入文件> --output \x3C输出文件>
- 如当前环境不能执行脚本，仍要基于
{baseDir}/resources/template.md与{baseDir}/resources/spec.json的结构直接产出文本。
标准输出结构
请尽量按以下结构组织结果：
- 链接概览
- 重复项
- 主题分类
- 建议目录
- 低价值链接
- 维护节奏
本地资源
- 规范文件：
{baseDir}/resources/spec.json - 输出模板：
{baseDir}/resources/template.md - 示例输入输出：
{baseDir}/examples/ - 冒烟测试：
{baseDir}/tests/smoke-test.md
安全边界
- 建议先导出书签副本再分析。
- 默认只读、可审计、可回滚。
- 不执行高风险命令，不隐藏依赖，不伪造事实或结果。
Usage Guidance
This skill appears coherent and designed to run locally under python3 to analyze bookmark exports or directories and emit a reviewable Markdown report. Before running: (1) run it on a copy/export of your bookmarks (as the README suggests) rather than directly on a live browser profile; (2) avoid pointing the script at broad directories like your entire home or code repositories unless you intend an audit (it will scan .py/.js/.sh/.md, etc., and may surface sensitive strings); (3) review generated output before performing any write/delete/publish actions — the skill emphasizes dry-run and review-first workflows; (4) the included script runs local code, so only execute it if you trust the skill source. If you want a higher assurance level, request the full, non-truncated script review or run the script in a sandboxed environment first.
Capability Analysis
Type: OpenClaw Skill
Name: local-bookmark-librarian
Version: 1.0.0
This skill bundle is designed to organize, deduplicate, and audit local bookmark exports or link lists. The primary logic in `scripts/run.py` performs directory scanning and content analysis, including a 'pattern_audit' mode that identifies potentially sensitive data (like API keys) or dangerous commands (like curl|bash) to warn the user. The instructions in `SKILL.md` and `README.md` emphasize safety, requiring user confirmation before any actions and explicitly forbidding unauthorized system modifications or deletions.
Capability Assessment
Purpose & Capability
Name/description (de-duplicate and re-categorize local bookmark/link exports) matches the included resources: SKILL.md, resources/spec.json, template, examples, and a Python script that produces structured reports and directory/csv audits. Required binaries are limited to python3, which is appropriate.
Instruction Scope
SKILL.md explicitly limits actions (read-only, produce drafts, do not modify browser config or delete links) and directs use of the bundled script; however the script can audit arbitrary directories or files if the user points it at them (it deliberately scans many text/code suffixes). That broad file scanning is consistent with a 'directory_audit' mode, but users should avoid running it against whole home or system directories unless they intend an audit (it may surface sensitive items from other projects).
Install Mechanism
No install spec — instruction-only with an included Python script. This is low-risk: no network installs, no archives downloaded, and the script is local and uses only the standard library.
Credentials
The skill declares no required environment variables or credentials and the code does not attempt to read secrets or external config. No disproportionate credential or config access is requested.
Persistence & Privilege
always:false and user-invocable. The skill does not request permanent presence or modify other skills or system-wide settings. The script can write an output file (user-specified) but offers a --dry-run mode; this matches the stated read-only/audit-first approach.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install local-bookmark-librarian - After installation, invoke the skill by name or use
/local-bookmark-librarian - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of local-bookmark-librarian.
- Organize and deduplicate local bookmark or link exports.
- Generate themed indexes and maintenance recommendations.
- Prioritize overview drafts, duplicate detection, topic folders, and low-value links.
- Clearly state boundaries: does not modify browser configs or delete links without confirmation.
- Supports Python script execution if available; otherwise, produces results based on local templates/specs.
- Designed for safe, reviewable, and user-controlled bookmark management.
Metadata
Frequently Asked Questions
What is Local Bookmark Librarian?
去重和再分类本地导出的书签或链接清单，生成主题索引和维护建议。；use for bookmarks, links, knowledge workflows；do not use for 直接修改浏览器配置, 删除用户未确认链接. It is an AI Agent Skill for Claude Code / OpenClaw, with 164 downloads so far.
How do I install Local Bookmark Librarian?
Run "/install local-bookmark-librarian" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Local Bookmark Librarian free?
Yes, Local Bookmark Librarian is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Local Bookmark Librarian support?
Local Bookmark Librarian is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).
Who created Local Bookmark Librarian?
It is built and maintained by vx：17605205782 (@52yuanchangxing); the current version is v1.0.0.
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