using-model-endpoint
CommunityCall model endpoints over HTTP API
Authorguanxiaol
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill allows you to call a registered model endpoint over its native HTTP API, enabling you to integrate model predictions into your workflows.
Core Features & Use Cases
- HTTP API Integration: Execute model endpoints directly using Python libraries.
- Scoped Inference Kernel: Each model endpoint gets its own Python REPL for network egress.
- Authentication: Handles hosted endpoints with Bearer tokens and local endpoints without auth headers.
- Use Case: Integrate a model's predictions into a Python script for real-time analysis or decision-making.
Quick Start
Use the using-model-endpoint skill to make a prediction from the model endpoint at 'https://api.example.com/predict'.
Dependency Matrix
Required Modules
httpxrequests
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: using-model-endpoint Download link: https://github.com/guanxiaol/open-science/archive/main.zip#using-model-endpoint Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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