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article-bookmarker文章书签

Agent Skill

article-bookmarker 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,288

周安装

216

GitHub Stars

2

下载量

1,711
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:article-bookmarker(文章书签)
来源仓库:https://github.com/chliny/article-bookmarker
安装命令:
openclaw skills install article-bookmarker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install article-bookmarker

简介

使用人工智能摘要和自动标记将网络文章保存并组织为书签。当用户想要添加书签或收集文章时使用。

SKILL.md

name
article-bookmarker
description
Save and organize web articles as bookmarks with AI summaries and auto-tagging. Use when the user wants to bookmark or collect articles.
homepage
https://github.com/chliny/article-bookmarker-skill
metadata
{"openclaw": {"emoji":"🔖","requires":{"env":["ARTICLE_BOOKMARK_DIR", "ARTICLE_BOOKMARK_GITHUB"], "bins":["gh", "git"]}}}

Article Bookmarker Skill

IMPORTANT: Before any operation, read the environment variable $ARTICLE_BOOKMARK_DIR to determine the bookmark storage directory. All bookmark files and the tag index must be stored under this path. If the variable is not set, prompt the user to configure it. When calling scripts/bookmark.sh, you must pass ARTICLE_BOOKMARK_DIR and ARTICLE_BOOKMARK_GITHUB as inline environment variables — the script runs in a subprocess and does not inherit them automatically.

Quick Start

When the user provides a URL or article text to bookmark:

  1. Run scripts/bookmark.sh init to initialize the bookmark directory
  2. Read $ARTICLE_BOOKMARK_DIR to get the storage path
  3. Use web_fetch to get the article content
  4. Generate a concise summary using the current model
  5. Auto-generate relevant tags based on content analysis
  6. Create a markdown file with URL, content, summary, and tags (see file-structure.md for format details)
  7. Save to the bookmark directory with descriptive filename
  8. Update the tag index file
  9. Run scripts/bookmark.sh save "Brief commit message" to commit and push changes

For deletion requests: find the article, confirm details with user, then remove, update index, and run scripts/bookmark.sh save "Delete article xxx".

Workflow

Adding Articles

1. Run scripts/bookmark.sh init
2. Read $ARTICLE_BOOKMARK_DIR
3. Receive URL or text content
4. Extract/save content (web_fetch for URLs)
5. Generate summary (model-based)
6. Auto-tag (keyword/topic analysis)
7. Create bookmark file (markdown format)
8. Update tag index
9. Run scripts/bookmark.sh save "Add article: <title>"

Deleting Articles

1. Run ARTICLE_BOOKMARK_DIR="$ARTICLE_BOOKMARK_DIR" ARTICLE_BOOKMARK_GITHUB="$ARTICLE_BOOKMARK_GITHUB" scripts/bookmark.sh init
2. Read $ARTICLE_BOOKMARK_DIR
3. Identify target article (by filename, topic, or content)
4. Display article details for confirmation
5. Get user confirmation
6. Delete bookmark file
7. Update tag index
8. Run ARTICLE_BOOKMARK_DIR="$ARTICLE_BOOKMARK_DIR" ARTICLE_BOOKMARK_GITHUB="$ARTICLE_BOOKMARK_GITHUB" scripts/bookmark.sh save "Delete article: <title>"

Tag Management

Auto-Tagging Logic

Generate tags by analyzing:

  • Article domain/topic keywords
  • Technical terms and concepts
  • Content categories (tutorial, news, research, etc.)
  • Named entities and proper nouns

Maintain consistent tag vocabulary to avoid duplicates (e.g., use "AI" not "artificial-intelligence").

Tag Index Format

TAG_INDEX.md maintains bidirectional mapping (see file-structure.md for full format):

# Article Tag Index

## Tags

- **AI**: [article1](article1.md), [article2](article2.md)
- **Research**: [...]

## Articles by Tag Count

- 3 tags: [article1](article1.md)
- 1 tag: [...]

Implementation Details

Content Extraction

  • Use web_fetch with extractMode: "markdown" for web articles
  • Handle truncation gracefully (respect maxChars limits)
  • Preserve original formatting where possible
  • GitHub Repository URLs: When the URL is a GitHub repository (e.g., https://github.com/user/repo), prioritize fetching the README content from the repository's main page or from README.md, readme.md, or README.rst files in the root directory

Proxy Configuration and Retry

When fetching article content from URLs fails:

  1. First Attempt: Try fetching without proxy
  2. On Failure: Load proxy configuration from environment variables:

- HTTP_PROXY or http_proxy: HTTP proxy URL - HTTPS_PROXY or https_proxy: HTTPS proxy URL - NO_PROXY or no_proxy: Comma-separated list of hosts to bypass

  1. Retry: Re-attempt fetching with proxy configuration
  2. Final Failure: Notify user if both attempts fail

Example environment variables:

export HTTP_PROXY="http://proxy.example.com:8080"
export HTTPS_PROXY="http://proxy.example.com:8080"
export NO_PROXY="localhost,127.0.0.1,.example.com"

Summary Generation

Generate 2-3 paragraph summaries that capture:

  • Main thesis or argument
  • Key insights or findings
  • Practical implications or applications

Keep summaries informative but concise (typically 150-300 words).

File Naming

Create SEO-friendly filenames:

  • Convert title to lowercase
  • Replace spaces and special chars with hyphens
  • Limit length to ~50 characters
  • Ensure uniqueness by appending numbers if needed

Safety Checks

  • Validate URLs before fetching
  • Confirm deletions with users (show path and key details)
  • Maintain backup of index before modifications
  • Handle concurrent access gracefully

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

89.09%
按下载量换算1,524

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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