← Back to Skills Marketplace
yeat

Feishu News

by Yeats · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
66
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install feishu-news
Description
A skill to fetch and reference news information from Feishu when interacting with users.
README (SKILL.md)

Feishu News Skill

This skill enables fetching and referencing news information from Feishu when interacting with users. It provides a way to incorporate current news sources into conversations.

Usage Examples

  • "Fetch latest news from Feishu"
  • "Show me recent news articles"
  • "Reference news sources in our conversation"
  • "Get news updates from Feishu"

Available Functions

  • fetch_news(): Retrieves latest news from Feishu
  • reference_source(article_id): References a specific news source
  • format_news(news_data): Formats news data for user presentation
  • get_news_sources(): Returns available news sources

How It Works

This skill integrates with Feishu's news system to provide current information. When users request news or references, the skill:

  1. Fetches relevant news articles from Feishu
  2. Formats the information with proper source attribution
  3. Presents the information to the user with clear references

Integration Details

The skill uses Feishu's API to access news content and ensures proper attribution of news sources when referenced in conversations.

Usage Guidance
This skill advertises live Feishu news integration but the provided Python code is a local mock that returns hard-coded articles and does not call Feishu or require credentials. Before installing, confirm whether you expect a stub or a real integration: if you need live data, ask the publisher how credentials are supplied and whether the skill will use secure auth flows. Be cautious about installing requirements (feishu-sdk, requests, beautifulsoup4, pandas) on systems where third-party packages are sensitive. If you plan to use this in production, request a real implementation that documents required env vars, auth steps, and network endpoints; otherwise treat it as a demo/stub only.
Capability Analysis
Type: OpenClaw Skill Name: feishu-news Version: 1.0.0 The feishu-news skill is a mock implementation designed to demonstrate fetching and formatting news articles from Feishu. The code in scripts/fetch_news.py contains only hardcoded sample data and basic string formatting logic, with no actual network requests, file system access, or sensitive data handling. All documentation in SKILL.md and README.md is consistent with the stated purpose, and no signs of prompt injection or malicious intent were detected.
Capability Assessment
Purpose & Capability
The name/description promise fetching current news from Feishu. The repository includes a requirements.txt with feishu-sdk and network-related libraries (requests, bs4) — which matches the stated purpose — but the actual implementation (scripts/fetch_news.py) is a static mock returning hard-coded items and does not call any Feishu API. That inconsistency (advertised live integration vs. mock code) is unexplained.
Instruction Scope
SKILL.md instructs the agent to fetch news from Feishu and lists functions like fetch_news() and reference_source(). It does not instruct the agent to read system files or unrelated secrets, which is good, but it also gives no guidance about authentication or where to obtain API credentials. The instructions claim API integration but provide no runtime steps to configure auth, leaving an implementation gap.
Install Mechanism
There is no install spec (instruction-only), so nothing will be fetched from arbitrary URLs. A requirements.txt declares feishu-sdk, requests, beautifulsoup4, and pandas; these are plausible for a news-fetching skill, though pandas may be heavier than necessary for simple formatting. The lack of an install script means package installation behavior depends on the host platform — not on the skill itself.
Credentials
The skill requests no environment variables or credentials, but real Feishu API integration typically requires credentials (API key/secret or OAuth tokens). The absence of declared env vars or primary credential is inconsistent with the stated API usage and could indicate an incomplete stub or an assumption that credentials will be provided elsewhere (which increases risk).
Persistence & Privilege
always is false and there is no indication the skill requests persistent or elevated privileges, nor does it modify other skills or system-wide configuration. Autonomous invocation is allowed but that's the platform default and not by itself concerning here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install feishu-news
  3. After installation, invoke the skill by name or use /feishu-news
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the Feishu News Skill. - Enables fetching and referencing news from Feishu in user interactions. - Provides functions to retrieve, format, and reference news articles and sources. - Integrates with Feishu’s API for access to current news content. - Ensures proper source attribution when presenting news information.
Metadata
Slug feishu-news
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Feishu News?

A skill to fetch and reference news information from Feishu when interacting with users. It is an AI Agent Skill for Claude Code / OpenClaw, with 66 downloads so far.

How do I install Feishu News?

Run "/install feishu-news" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Feishu News free?

Yes, Feishu News is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Feishu News support?

Feishu News is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Feishu News?

It is built and maintained by Yeats (@yeat); the current version is v1.0.0.

💬 Comments