foxcode-openclaw

Automate Foxcode AI model configuration within OpenClaw, including API tokens and endpoints.

12|3|Updated Jan 9, 2026
One-click install
npx skills add https://github.com/Fei2-Labs/skill-genie --skill foxcode-openclaw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: foxcode-openclaw
Source: https://github.com/Fei2-Labs/skill-genie/tree/main/skills/foxcode-openclaw
Command: npx skills add https://github.com/Fei2-Labs/skill-genie --skill foxcode-openclaw

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, openclaw, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the configuration and management of Foxcode AI models within the OpenClaw platform, simplifying the setup process and providing a streamlined experience for users.

Core Features & Use Cases

  • Interactive Configuration: Guided setup wizard for beginners.
  • API Setup: Automated API token configuration for all selected endpoints.
  • Endpoint Selection: Choose from multiple Foxcode endpoints with different cost and speed options.
  • Model Configuration: Select primary and fallback models for various use cases.
  • Status Monitoring: Real-time monitoring of endpoint health and performance.

Quick Start

Run the configuration wizard by executing: python3 scripts/configure_foxcode.py

Frequently Asked Questions about foxcode-openclaw

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure Foxcode AI models in OpenClaw?

To configure Foxcode AI models in OpenClaw, run the interactive configuration wizard via `python3 scripts/configure_foxcode.py`, which streamlines API token setup, endpoint selection, and model configuration through a guided process optimized for beginners.

What is needed to set up Foxcode endpoints and API tokens?

Setting up Foxcode endpoints and API tokens requires an environment with Python3, the OpenClaw platform, and active Foxcode API access to automate token configuration and select endpoints with varying cost and speed options.

Can I select fallback AI models in OpenClaw for different use cases?

Yes, you can select both primary and fallback AI models in OpenClaw during the configuration process to ensure availability across various use cases and handle endpoint health variations.

Does OpenClaw support real-time monitoring of Foxcode endpoint health?

Yes, OpenClaw supports real-time status monitoring of Foxcode endpoint health and performance, allowing users to track API stability and operational metrics after completing the initial model setup.

What are the limitations of automating Foxcode AI configuration with openclaw?

The primary limitation of automating Foxcode AI configuration is the strict dependency on having pre-existing Foxcode API access and a properly configured Python3 environment, without which the setup wizard cannot execute.