A sophisticated monitoring skill for real-time corporate news tracking and sentiment analysis via the FEEDAX API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install companyinformation
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install companyinformation 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 Company Information Monitoring?
The Company Information skill is a powerful tool designed for AI agents to monitor public opinion and news dynamics for listed companies. By integrating directly with the FEEDAX API, it provides a comprehensive risk warning system that identifies sentiment trends (positive, negative, or neutral), evaluates public opinion heat levels, and maps data to specific stock codes and industries. This skill is an essential component for developers building automated financial research and corporate reputation management solutions within the ecosystem of Openclaw Skills.
Company Information Monitoring Use Cases
- Automated monitoring of negative news for specific investment portfolios to mitigate risk.
- Real-time tracking of industry competitors and public relations events to stay ahead of the market.
- Analyzing corporate sentiment scores to assist in data-driven investment decision-making.
- Generating automated reports on enterprise risk levels and media exposure for stakeholder reviews.
- Querying historical news data for comprehensive corporate reputation audits and research.
How Company Information Monitoring Works
- The AI agent parses user input to extract core parameters such as company names, time ranges, and specific sentiment requirements.
- The system verifies the FEEDAX_API_KEY configuration within the .env file or command-line arguments.
- A POST request is dispatched to the FEEDAX data service with the specified filters, including keywords and sorting preferences.
- The skill processes the returned JSON data, mapping it into 11 core fields like stock codes, heat scores, and industry classifications.
- It provides a dual-channel response: an immediate summary of the top 5 results in the chat and a full dataset export to CSV and Markdown files.
Company Information Monitoring Setup
To use this skill, you must first obtain an API key from the FEEDAX platform. Once obtained, configure your environment as follows:
# Check if .env exists and add your key
echo "FEEDAX_API_KEY=your_api_key_here" >> .env
# Or provide it directly via CLI
python3 scripts/query_company_information.py --company "Vanke" --api-key "your_api_key_here"
Ensure that the primary query script is accessible at scripts/query_company_information.py.
Company Information Monitoring Data Schema & Taxonomy
The skill organizes its output into a highly structured format, ensuring consistency across all Openclaw Skills data processing. Every query generates 11 mandatory fields:
| Field Name | API Identifier | Description |
|---|---|---|
| News Title | articleTitle | The headline of the information |
| Sentiment | articleSentiment | Classified as Positive, Negative, or Neutral |
| Stock Code | stockCode | The official stock identifier |
| Industry | industrySw1Name | Shenwan Level 1 industry classification |
| Heat Score | publicOpinionHeatScore | Quantitative score of news impact |
| Summary | articleSummary | A concise abstract of the content |
Full results are saved automatically to files named company_information_<timestamp>.csv and company_information_<timestamp>.md.
Company Information Monitoring Advanced Features
- Dual-channel output mechanism providing both conversational summaries and structured file exports for deep analysis.
- Granular sentiment filtering allowing users to isolate only positive developments or critical risk alerts.
- Automated industry classification mapping news to specific economic sectors.
- Multi-agent compatibility for automated financial auditing workflows.
- Flexible sorting logic that defaults to chronological order but supports impact-based heat score ranking on demand.
SKILL.md
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