ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified ai models Safety 5/5

stepfun-openrouter

Integrates StepFun AI models (Step-3.5 Flash, Step-3) via OpenRouter API. Free tier available. Features visible reasoning, fast responses, and multimodal capabilities.

Why use this skill?

Use the stepfun-openrouter skill to access powerful Step-3.5 Flash reasoning models in OpenClaw. Fast, free, and multimodal.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/mig6671/stepfun-openrouter-v2
Or

What This Skill Does

The stepfun-openrouter skill provides a seamless bridge between your OpenClaw agent and the advanced StepFun AI model ecosystem. By leveraging OpenRouter as the integration layer, this skill unlocks access to high-performance reasoning models like Step-3.5 Flash and Step-3 directly within your local workflow. It is specifically designed to handle complex logic, offering users "visible reasoning" that demystifies how the AI arrives at its conclusions. Whether you are performing rapid prototyping, debugging code, or analyzing multimodal data, this skill ensures consistent, fast, and cost-effective AI interactions.

Installation

To integrate this skill into your environment, use the ClawHub package manager. Run the following command in your terminal:

clawhub install openclaw/skills/skills/mig6671/stepfun-openrouter-v2

Once installed, ensure your authentication is handled by setting the environment variable OPENROUTER_API_KEY with a valid key generated from the OpenRouter dashboard. This avoids hardcoding credentials and keeps your setup secure.

Use Cases

This skill is ideal for developers and power users who require high-speed reasoning capabilities without the overhead of heavy local model hosting. Key scenarios include:

  1. Technical Debugging: Utilizing Step-3.5 Flash's reasoning capabilities to trace stack traces or logic errors in your code.
  2. Creative Brainstorming: Leveraging the model's ability to chain thoughts for complex creative projects.
  3. Multimodal Analysis: Processing images or documentation provided to the agent, which the underlying model parses to provide detailed insights.

Example Prompts

  1. "Analyze the provided system logs and explain the root cause of the connection timeout using the reasoning engine."
  2. "Compare the pros and cons of using a microservices architecture versus monolithic design for a startup app."
  3. "Look at this image of my database schema and suggest three optimizations for query performance."

Tips & Limitations

To maximize effectiveness, always enable the --reasoning flag if you need a step-by-step breakdown of the AI's logic, which is essential for complex problem-solving. Note that the free tier for the Flash model may be subject to rate limits imposed by OpenRouter, so consider the production-grade tiers for high-volume tasks. Finally, since this skill relies on an external API, a stable internet connection is required for every request.

Metadata

Author@mig6671
Stars1401
Views6
Updated2026-02-24
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-mig6671-stepfun-openrouter-v2": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#stepfun#openrouter#reasoning#ai-agent#multimodal
Safety Score: 5/5

Flags: external-api

Related Skills

polymarket-news-monitor

Monitor official Polymarket sources (The Oracle blog, API status) for important updates, security alerts, and breaking news. Automatic importance scoring with instant notifications for critical events.

mig6671 1401

stepfun-openrouter

Integrates StepFun AI models (Step-3.5 Flash, Step-3) via OpenRouter API. Free tier available. Features visible reasoning, fast responses, and multimodal capabilities.

mig6671 1401

vector-memory-hack

Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <10ms search time.

mig6671 1401

minimal-test-skill

Minimal test skill for debugging ClawHub publishing

mig6671 1401

phoenix-shield

Self-healing backup and update system with intelligent rollback. Protects against failed updates by automatically monitoring system health post-update and recovering from backups when needed. Features canary deployment testing, health baselines, smart rollback, and 24/7 automated monitoring. Use when performing critical system updates, managing production deployments, or ensuring high availability of services. Prevents downtime through pre-flight checks, integrity verification, and automatic recovery workflows.

mig6671 1401