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logseq web article

作者 HelloEric · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install logseq-web-article
功能描述
Fetch article content from general web page URLs, and call logseq-article-archive to organize, summarize, and archive the content. Call this skill when users...
使用说明 (SKILL.md)

\r \r

Web Article Processor\r

\r

Feature Description\r

\r This skill can:\r

  1. Receive general web page URLs from users\r
  2. Fully fetch the complete article content without any modification, preserve the original content, convert it to Markdown format, and process it according to the following rules:\r
    • Use Markdown heading format (#) for titles\r
    • Add "- " before each paragraph to form list format\r
    • Use blockquote format (>) for quoted content\r
    • Use indentation for nested lists\r
    • Use bold format (**) for important content\r
  3. Record meta information such as the web address at the end of the article\r
  4. Check if logseq-article-archive skill is installed; if not, install it automatically\r
  5. Call the logseq-article-archive skill for secondary analysis, summarization, and archiving of the article content\r
  6. Return the processed results to the user\r \r

Usage\r

\r Call this skill directly when users provide web article URLs and wish to organize the content into Logseq.\r \r

Input Format\r

\r Users only need to provide the complete URL of the web article, for example:\r

https://example.com/article/abc123\r
https://mp.weixin.qq.com/s/abc123def456\r
https://www.zhihu.com/article/123456\r
```\r
\r
### Processing Flow\r
\r
1. Receive the web article URL provided by the user\r
2. Use the WebFetch tool to fetch the complete article content\r
3. Save the original article content without any modification, convert it to Markdown format, and process it according to the following rules:\r
   - Use Markdown heading format (#) for titles\r
   - Add "- " before each paragraph to form list format\r
   - Use blockquote format (>) for quoted content\r
   - Use indentation for nested lists\r
   - Use bold format (**) for important content\r
4. Record meta information such as the web address at the end of the article\r
5. Check if logseq-article-archive skill is installed\r
6. If logseq-article-archive is not installed, install it automatically\r
7. Call the logseq-article-archive skill for secondary analysis, summarization, and archiving of the article content\r
8. Return the organized results to the user\r
\r
## Notes\r
\r
- Ensure the provided URL is a valid web article link\r
- Some web articles may require login to access, in which case the content may not be retrievable\r
- Some web pages may contain excessive ads or irrelevant content, it is recommended to select article links with clear content\r
- The processing may take some time, please be patient\r
- This skill requires logseq-article-archive skill for secondary processing. It will be installed automatically if not present.\r
\r
## Examples\r
\r
**User Input:**\r
```\r
Please process this article: https://example.com/article/abc123\r
```\r
\r
**Skill Output:**\r
```\r
Article content has been fetched and organized via logseq-article-archive skill. Results are as follows:\r
\r
# Article Title\r
- Author: XXX\r
- Publication Date: YYYY-MM-DD\r
\r
## Core Content\r
- Key Point 1\r
- Key Point 2\r
- Key Point 3\r
\r
## Summary\r
...\r
\r
---\r
\r
## Article Meta Information\r
- Original Link: https://example.com/article/abc123\r
- Fetch Time: YYYY-MM-DD HH:MM:SS\r
- Processing Tool: logseq-web-article\r
```\r
\r
---\r
\r
# 网页文章处理器(中文介绍)\r
\r
## 功能说明\r
\r
此技能可以:\r
1. 接收用户输入的通用网页URL\r
2. 完整获取文章的完整内容,不做任何修改,保留原文内容,转换成Markdown格式,并按照以下格式进行处理:\r
   - 标题使用Markdown的标题格式(#)\r
   - 每个段落前添加"- "符号,形成列表格式\r
   - 引用内容使用blockquote格式(>)\r
   - 嵌套列表使用缩进\r
   - 重点内容使用加粗格式(**)\r
3. 在文章结尾记录文章的网络地址等信息\r
4. 检查 logseq-article-archive 技能是否已安装;如果未安装,则自动安装\r
5. 调用 logseq-article-archive 技能对文章内容进行二次分析、总结和归档\r
6. 将处理结果返回给用户\r
\r
## 使用方法\r
\r
当用户提供网页文章地址并希望将其内容整理到Logseq中时,直接调用此技能。\r
\r
### 输入格式\r
\r
用户只需提供网页文章的完整URL,例如:\r
```\r
https://example.com/article/abc123\r
https://mp.weixin.qq.com/s/abc123def456\r
https://www.zhihu.com/article/123456\r
```\r
\r
### 处理流程\r
\r
1. 接收用户提供的网页文章URL\r
2. 使用WebFetch工具获取文章的完整内容\r
3. 保存原始文章内容,不做任何修改,格式转换成Markdown格式,并按照以下格式进行处理:\r
   - 标题使用Markdown的标题格式(#)\r
   - 每个段落前添加"- "符号,形成列表格式\r
   - 引用内容使用blockquote格式(>)\r
   - 嵌套列表使用缩进\r
   - 重点内容使用加粗格式(**)\r
4. 在文章结尾记录文章的网络地址等元信息\r
5. 检查 logseq-article-archive 技能是否已安装\r
6. 如果 logseq-article-archive 未安装,自动安装该技能\r
7. 调用 logseq-article-archive 技能对文章内容进行二次分析、总结和归档\r
8. 返回整理后的结果给用户\r
\r
## 注意事项\r
\r
- 确保提供的URL是有效的网页文章链接\r
- 部分网页文章可能需要登录才能访问,此时可能无法获取内容\r
- 部分网页可能包含较多广告或无关内容,建议选择内容清晰的文章链接\r
- 处理过程可能需要一定时间,请耐心等待\r
- 此技能需要 logseq-article-archive 技能进行二次处理,如果尚未安装,将自动安装\r
\r
## 示例\r
\r
**用户输入:**\r
```\r
请处理这篇文章:https://example.com/article/abc123\r
```\r
\r
**技能输出:**\r
```\r
已获取文章内容并通过 logseq-article-archive 技能进行整理,结果如下:\r
\r
# 文章标题\r
- 作者:XXX\r
- 发布时间:YYYY-MM-DD\r
\r
## 核心内容\r
- 要点1\r
- 要点2\r
- 要点3\r
\r
## 总结\r
...\r
\r
---\r
\r
## 文章元信息\r
- 原文链接:https://example.com/article/abc123\r
- 获取时间:YYYY-MM-DD HH:MM:SS\r
- 处理工具:logseq-web-article\r
安全使用建议
This skill does what it says (fetch and format web articles) but it will try to automatically install and call a separate 'logseq-article-archive' skill if that skill isn't already present. Because there is no homepage, source repo, or install spec provided, you should: (1) require explicit confirmation before allowing the agent to install any new skill, (2) ask the skill maintainer or registry for the source/URL and review the logseq-article-archive skill's code, permissions, and required env vars, (3) avoid granting broad credentials or filesystem access to newly installed skills, and (4) consider running any auto-installed skill in a sandboxed environment or only install from trusted registries. If you cannot verify the provenance of logseq-article-archive, do not allow automatic installation.
能力评估
Purpose & Capability
Name and description match the runtime instructions: the SKILL.md describes fetching web article URLs, converting content to Markdown, recording metadata, and handing the result to logseq-article-archive. Required binaries/env/configs are none, which is consistent with a lightweight fetch-and-format skill.
Instruction Scope
The instructions stay focused on fetching and formatting article content (using a WebFetch tool) and returning results. However, they also direct the agent to check for, and if missing, automatically install and then invoke the separate 'logseq-article-archive' skill. That step gives the agent broad discretion to download and install third-party code at runtime and therefore expands scope beyond simple content processing.
Install Mechanism
This skill is instruction-only and has no install spec itself (low inherent risk), but it explicitly instructs the agent to automatically install another skill (logseq-article-archive) if not present. No source, registry, or verification instructions are provided for that installation, which could lead to arbitrary code being fetched/executed by the agent during runtime.
Credentials
The skill requires no environment variables, credentials, or config paths. That is proportional to the stated purpose. Note: the downstream logseq-article-archive skill (to be auto-installed) might request additional secrets or env vars — the SKILL.md does not disclose or justify that.
Persistence & Privilege
always:false and model invocation allowed (defaults) are normal. The concern is the skill's instruction to install another skill, which implies modifying the agent's installed-skill set; installing or enabling other skills is a privileged action and should require explicit user consent or provenance checks.
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 logseq-web-article
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /logseq-web-article 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
v1.0.1
- Updated integration to use logseq-article-archive (instead of logseq-article-arch) for article summarization and archiving. - Added automatic check and installation of logseq-article-archive if it is not already present. - Improved documentation for both English and Chinese with clearer processing flow and requirements.
v1.0.0
logseq-web-article 1.0.0 – Initial Release - Enables users to fetch full article content from any web page URL. - Automatically converts article content to Markdown with headings, list formatting, quote support, and emphasis for important text. - Records meta information, including web address, at the end of each article. - Integrates with logseq-article-arch for content analysis, summarization, and archiving. - Returns organized, Logseq-ready article results to the user.
元数据
Slug logseq-web-article
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

logseq web article 是什么?

Fetch article content from general web page URLs, and call logseq-article-archive to organize, summarize, and archive the content. Call this skill when users... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 93 次。

如何安装 logseq web article?

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

logseq web article 是免费的吗?

是的,logseq web article 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

logseq web article 支持哪些平台?

logseq web article 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 logseq web article?

由 HelloEric(@mesopodamia)开发并维护,当前版本 v1.0.1。

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