An automated research agent that conducts deep data gathering and generates structured reports directly in Feishu cloud space.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install feishu-deep-research
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 feishu-deep-research 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 Feishu Deep Research?
Feishu Deep Research is a specialized tool within the ecosystem of Openclaw Skills designed to automate the end-to-end workflow of technical and market research. It eliminates the manual effort of searching, filtering, and document formatting by leveraging a multi-layered search strategy and direct Feishu REST API integration.
By prioritizing technical transparency, this skill avoids high-level wrappers and instead uses native curl commands to handle file uploads and document imports. This ensures that every step of the research lifecycle—from data validation to document generation—is verifiable and robust for professional investment research and industry analysis.
Feishu Deep Research Use Cases
- Automated investment research reports that require multi-year data coverage for users of Openclaw Skills.
- Rapid industry analysis and competitive intelligence gathering for strategic decision-making.
- Technical surveying and documentation tasks that need to be centralized in Feishu folders.
- Real-time dynamic monitoring of specific topics with automated document archiving.
How Feishu Deep Research Works
- Initialization: The agent captures the research topic and folder token, then asks for user confirmation on depth and data range.
- Layered Search: It executes three rounds of searching to cover historical data, recent quarterly performance, and current month dynamics.
- Data Integrity Check: The system automatically verifies that the source count meets the depth requirements (Basic, Standard, or Deep) and covers the required timeline.
- Markdown Compilation: Findings are synthesized into a structured Markdown report featuring executive summaries and cited sources.
- API-Native Integration: The skill executes a sequential API workflow (Token -> Upload -> Import Task -> Polling) to create a native Feishu Doc.
Feishu Deep Research Setup
To utilize this skill within Openclaw Skills, you must first configure your Feishu App credentials and required permissions.
- Add your credentials to the configuration:
{
"channels": {
"feishu": {
"appId": "your_cli_id",
"appSecret": "your_app_secret"
}
}
}
- Ensure the Feishu App has the following permissions:
drive:file:upload,docs:document:import, anddrive:drive. - Run the research command via the CLI:
/feishu-research "Tesla 2025 Analysis" --folder-token <folder_token>
Feishu Deep Research Data Schema & Taxonomy
The skill manages research data and API artifacts to ensure document consistency. The following schema describes the data output after a successful run:
| Attribute | Description |
|---|---|
| doc_url | The final generated Feishu document link |
| doc_token | Unique identifier for the Feishu document |
| data_range | The timestamp range of the collected research data |
| source_count | The total number of unique sources analyzed for the report |
| job_status | Status code 0 indicating successful document import |
Feishu Deep Research Advanced Features
- Multi-Layered Search Strategy: Separates historical data, quarterly results, and real-time news for high-fidelity reporting.
- Hard Integrity Constraints: Automatically halts and resumes searching if the minimum source count for Openclaw Skills requirements isn't met.
- Direct REST API Execution: Uses exec and curl for all Feishu interactions to ensure maximum compatibility and logging transparency.
- Automated Data Timeliness Declaration: Every report includes a mandatory timestamp and data coverage statement to ensure accuracy.
SKILL.md
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