A specialized data query tool designed for retrieving SFE and Balutamide daily collection feedback through secure, script-based API interactions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sfe-dm-data-viewer
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 sfe-dm-data-viewer 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 SFE-DM Data Viewer?
SFE-DM Data Viewer is a robust technical solution built to provide seamless access to proprietary data systems. It serves as a bridge for querying specialized datasets, specifically focusing on Balutamide daily collection feedback and other customized SFE metrics. As part of the Openclaw Skills directory, it emphasizes security and structured data retrieval.
The skill operates under a strict script-only execution policy, ensuring that all API interactions are handled via Python scripts. This architecture guarantees that data is consistently processed, encoded through a TOON encoder, and delivered in a predictable format while maintaining a clear separation between the AI agent's logic and the raw data layer.
SFE-DM Data Viewer Use Cases
- Querying daily collection feedback for Balutamide within a specific time range.
- Automating the retrieval of specialized SFE data for reporting and analytics.
- Batch processing large datasets using structured pagination (1000 records per page).
- Integrating secure data fetching into automated workflows requiring appKey authentication.
How SFE-DM Data Viewer Works
- The system identifies the user intent and routes the request to the sfe-dm module.
- It references the skill index and authentication rules to prepare the necessary appKey.
- The agent loads the specific OpenAPI documentation to determine input requirements such as periodStart and periodEnd.
- A specialized Python script is invoked to execute the API call, ensuring no direct raw API access occurs.
- The raw API response is passed through a TOON encoder to standardize the output format.
- The final encoded data is returned to the user, providing a summary or direct data link while maintaining internal field privacy.
SFE-DM Data Viewer Setup
To integrate this capability into your environment, use the following commands to install the core skill and its mandatory authentication dependency from the Openclaw Skills repository:
# Install the authentication dependency
npx clawhub@latest install cms-auth-skills --force
# Install the SFE-DM Data Viewer skill
npx clawhub@latest install sfe-dm-data-viewer --force
SFE-DM Data Viewer Data Schema & Taxonomy
The skill follows a strict hierarchical directory and data schema to ensure consistency:
| Component | Path | Description |
|---|---|---|
| Documentation | openapi/sfe-dm/ |
Contains API indices and endpoint schemas. |
| Scripts | scripts/sfe-dm/ |
Python scripts for executing queries. |
| Encoder | scripts/common/ |
Shared TOON encoder for data output standardization. |
| Pagination | Internal Logic | Fixed at 1000 records per page for stability. |
SFE-DM Data Viewer Advanced Features
- Script-Enforced Execution: All API calls are routed through Python scripts for maximum reliability.
- Automated Dependency Management: Seamlessly integrates with cms-auth-skills for appKey lifecycle management.
- TOON Encoding: Ensures all data outputs are obfuscated or formatted according to enterprise standards.
- Smart Retries: Built-in error handling with a 1-second interval and a maximum of 3 retries to prevent infinite loops.
SKILL.md
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