Industry Information for Openclaw

A professional industry monitoring tool using the FEEDAX API to track news, public sentiment, and market trends across various sectors for Openclaw Skills.

longgggggg
v1.0.0
Apr 3, 2026
0
654
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install industry-information

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install industry-information using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Industry Information?

The Industry Information skill is a technical asset designed for Openclaw Skills that leverages the FEEDAX API to provide real-time monitoring and analysis of specific industries. It supports complex classification systems including CSRC and Shenwan industry standards, allowing users to filter through news based on keywords, sentiment scores, and importance levels.

This skill empowers developers and researchers to perform deep market analysis, track public opinion, and assess investment risks through multi-dimensional data. By integrating high-quality data sources from social media, news outlets, and financial platforms, it bridges the gap between raw data and actionable industry insights within the Openclaw Skills ecosystem.

Industry Information Use Cases

  • Conducting trend research and competitive analysis within specific industry sectors.
  • Monitoring public sentiment to identify potential reputational risks or opportunities.
  • Comparing market dynamics between different industry classifications like real estate vs. infrastructure.
  • Tracking the impact of new policies on the semiconductor or pharmaceutical industries.
  • Generating comprehensive industry reports with automated CSV and Markdown exports.

How Industry Information Works

  1. The user provides a natural language query regarding a specific industry or news event.
  2. The skill extracts core keywords, sentiment preferences, and time ranges from the user input.
  3. A secure API request is formulated and sent to the FEEDAX service using a configured API key.
  4. The skill processes the returned JSON data, performing classification mapping and sorting.
  5. It presents a concise summary of the top 5 results in the chat interface while simultaneously generating detailed CSV and Markdown reports for deeper exploration.

Industry Information Setup

To integrate this capability into your Openclaw Skills environment, follow these steps:

# Step 1: Obtain a FEEDAX API key from https://www.feedax.cn
# Step 2: Configure your environment variables in the .env file
echo "FEEDAX_API_KEY=your_actual_api_key_here" >> .env
# Step 3: Verify the configuration
cat .env | grep FEEDAX_API_KEY
# Step 4: Run a test query using the provided CLI tool
python3 scripts/query_industry_information.py --keyword "Artificial Intelligence" --days 7

Industry Information Data Schema & Taxonomy

The skill organizes industry data into the following structure for Openclaw Skills:

Field API Field Name Description
Title title The headline of the news or industry report
Summary summary A brief AI-generated or source-provided summary
Content content The full text of the industry information
Source source The origin of the information (Media/Platform)
Date publishDate 13-digit Unix timestamp of publication
Sentiment sentiment Classified as Positive, Negative, or Neutral
Industry Sw industrySwResultVos Shenwan specific industry classification
Heat Data heatScores Engagement metrics including views and forwards

Industry Information Advanced Features

  • Multi-dimensional filtering across CSRC and Shenwan industry taxonomies to refine search results.
  • High-performance sentiment analysis to identify market risks and positive triggers within Openclaw Skills.
  • Dual-channel output: immediate quick chat previews and full data persistence in CSV/MD formats.
  • Powerful CLI integration via query_industry_information.py for automated research workflows.
  • Customizable sorting logic based on either chronological publication dates or weighted social heat scores.

SKILL.md


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