SFE-WS Data Viewer for Openclaw

A professional data retrieval tool designed for querying SFE project reports and hospital management tracking data.

spzwin
v1.0.0
Mar 31, 2026
0
317
1

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install sfe-ws-data-viewer

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 sfe-ws-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-WS Data Viewer?

The SFE-WS Data Viewer is a technical utility built to provide seamless access to Weisheng SFE (Sales Force Effectiveness) data. Operating within the Openclaw Skills framework, it allows users to perform high-precision queries on specialized project reports, including customer management yearly tracking, hospital management tracking, and development project summaries. It bridges the gap between raw ERP Open APIs and actionable business intelligence.

By leveraging structured Python scripts and standardized authentication protocols, this skill ensures that developers can retrieve large-scale datasets securely and efficiently. It is specifically optimized for professional environments where data accuracy and structured reporting are paramount in Openclaw Skills deployments.

SFE-WS Data Viewer Use Cases

  • Querying annual tracking data for healthcare professionals (HCP) to analyze performance trends.
  • Retrieving detailed hospital management (HCO) reports for regional sales strategy.
  • Accessing development management tracking tables to monitor project milestones.
  • Generating paginated summary reports from ERP systems for large-scale data analysis.

How SFE-WS Data Viewer Works

  1. The system identifies the user's data requirement and routes the request to the sfe-ws module.
  2. It verifies the presence of the cms-auth-skills dependency to retrieve the necessary appKey for ERP API authentication.
  3. The skill loads the specific endpoint documentation from the openapi directory to validate input parameters like year and quarter.
  4. A dedicated Python script is executed to perform the API call, ensuring that the raw response is passed through a TOON encoder for standardized output.
  5. The final encoded data is returned to the user, with automatic pagination handling for datasets exceeding 1000 records.

SFE-WS Data Viewer Setup

To get started with this skill, ensure that the mandatory authentication dependency is installed. Use the following commands to set up your environment within Openclaw Skills:

# Install the authentication dependency
npx clawhub@latest install cms-auth-skills --force

# Install the SFE-WS Data Viewer skill
npx clawhub@latest install sfe-ws-data-viewer

SFE-WS Data Viewer Data Schema & Taxonomy

The skill follows a strict directory and metadata taxonomy to ensure predictable data handling across Openclaw Skills:

Directory Purpose Key Files
/openapi/ API endpoint definitions and schemas api-index.md, hcp-manage-yearly-tracking.md
/scripts/ Executable Python logic for data retrieval hco-manage-yearly-tracking.py, toon_encoder.py
/examples/ Reference templates for common queries README.md
/common/ Shared utilities for encoding and security toon_encoder.py

SFE-WS Data Viewer Advanced Features

  • Enforced TOON encoding for all data outputs to maintain consistency and security.
  • Robust error handling with a 3-attempt retry strategy and 1-second intervals for stable Openclaw Skills execution.
  • High-capacity pagination support designed to handle 1000 records per page for big data operations.
  • Modular API indexing that allows for on-demand loading of specific endpoint documentation to save resources.
  • Independent script execution capability allowing Python scripts to run outside the AI agent in a CLI environment.

SKILL.md


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