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Install in OpenClaw
/install article-collect
Description
This is a simple skill for article recording, collect URLs as article, and provide users with query, delete, and other capabilities.
README (SKILL.md)
Article Collect Skill
这是一个简单的将用户提供的url转化成文章记录的技能，用于收集网址成为文章，同时提供给用户查询，删除等能力
使用方式
运行：
node dist/index.js \x3Caction> \x3Ccontent>
action 类型
add_article 保存文章（url + 摘要）
示例： node dist/index.js add_article "https://example.com"
list_article 查看文章列表
示例： node dist/index.js list_article
delete_article 删除文章记录
示例： node dist/index.js delete_article 3
Agent 调用规则
如果用户发送一个 URL
步骤： 1、判断url域名是否mp.weixin.qq.com； 2、如果是，则调用：node dist/index.js add_article "URL"； 3、如果不是，调用内置浏览器进行访问；
如果用户说：
- 查询我之前记录的url/文章
- 文章记录
- 查看我的文章记录
- 查看我的文章
- 查看我收藏的url
步骤： 1、调用：node dist/index.js list_article，获取数据 2、如有数据，需要格式化输出，每条记录支持点击，跳转到对应的url 3、如果没有数据，提示：暂无知识记录
如果用户说：
删除第三个url/文章
调用：
node dist/index.js delete_article 3
Usage Guidance
This skill appears to do what it says (save/list/delete article URLs) but has two items you should resolve before installing or running it in a production environment:
1) Inspect @bondli-skills/shared (getBrowser) before use. The shared browser module controls how the browser is launched/connected. It could launch a local Chromium, connect to a remote browser, or embed credentials/telemetry. Ask the author for the source or examine the package source to confirm it doesn't send visited page content to an external service.
2) Be aware installing dependencies (puppeteer / puppeteer-core) will download Chromium binaries. If you plan to run the skill, do so in an isolated environment (container/VM) and review network access. The skill writes data to ~/openclaw-skill-data/article-knowledge.json — if that location is acceptable, the file writes are proportional.
If you cannot inspect the shared module source, treat this skill as untrusted: run it only in a sandbox, or request a version that removes the opaque dependency by providing a clear, local getBrowser implementation.
Capability Analysis
Type: OpenClaw Skill
Name: article-collect
Version: 1.0.0
The skill is a straightforward utility for saving and managing URL bookmarks. It uses Puppeteer to scrape article titles (with specific selectors for WeChat articles) and stores the data locally in a JSON file located at `~/openclaw-skill-data/article-knowledge.json`. The code in `dist/index.js` and `dist/fetch-content.js` performs standard file I/O and web scraping operations consistent with the documentation in `SKILL.md`, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description match the code: the skill saves URL+summary, lists and deletes entries stored in a JSON file. The use of puppeteer to scrape titles is reasonable for the stated purpose. However the dependency on @bondli-skills/shared (getBrowser) is notable: a shared module controlling the browser connection increases trust surface and isn't explained in SKILL.md or README.
Instruction Scope
SKILL.md instructs the agent to invoke node dist/index.js for add/list/delete actions and to only call add_article for mp.weixin.qq.com domains (otherwise use a built-in browser). The runtime code implements add/list/delete and scrapes via getBrowser+puppeteer. There's a mild mismatch: SKILL.md suggests 'built-in browser' for non-weixin URLs, but the skill's scraping relies on getBrowser from the shared package when add_article is invoked. The instructions do not request unrelated files or credentials.
Install Mechanism
No install spec (instruction-only) — lowest installation risk in itself. However package.json declares heavy dependencies (puppeteer, puppeteer-core) which will download Chromium when installed, and the project depends on @bondli-skills/shared. Because there is no install script declared here, installing the package into an environment would pull external code and binaries; that step is not automated by the skill manifest but remains a risk if performed.
Credentials
The skill declares no required env vars or credentials and only reads process.env.HOME to locate its JSON file. But the external @bondli-skills/shared module (getBrowser) could require or use environment variables or remote connection details not declared here — that increases ambiguity about what secrets or endpoints might be involved.
Persistence & Privilege
The skill writes its own JSON database to HOME/openclaw-skill-data/article-knowledge.json and does not request always:true or system-wide changes. File writes are limited to its own data path; this is expected for a local article-collecting skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install article-collect - After installation, invoke the skill by name or use
/article-collect - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of article-collect skill:
- Allows users to save URLs as article records (with optional summary).
- Provides commands to add, list, and delete articles via CLI.
- Includes specific handling for WeChat article URLs.
- Supports user queries for viewing or deleting saved articles.
- Outputs formatted list for easy article access or deletion.
Metadata
Frequently Asked Questions
What is article-collect?
This is a simple skill for article recording, collect URLs as article, and provide users with query, delete, and other capabilities. It is an AI Agent Skill for Claude Code / OpenClaw, with 115 downloads so far.
How do I install article-collect?
Run "/install article-collect" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is article-collect free?
Yes, article-collect is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does article-collect support?
article-collect is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created article-collect?
It is built and maintained by bondli (@bondli); the current version is v1.0.0.
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