A specialized integration that brings StepFun AI models with visible reasoning and multimodal capabilities to your terminal via OpenRouter.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stepfun-openrouter-v2
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 stepfun-openrouter-v2 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 StepFun via OpenRouter?
The stepfun-openrouter skill is a powerful tool designed to bridge the gap between developers and StepFun's advanced artificial intelligence models. By utilizing the OpenRouter API, this skill allows users to leverage high-performance reasoning models like Step-3.5 Flash and Step-3 within their existing command-line environments. As part of the growing library of Openclaw Skills, it provides a standardized way to interact with cutting-edge AI without needing separate implementations for every provider.
This integration focuses on transparency and speed. It offers a free tier for developers to test and iterate quickly, while also providing production-grade endpoints for more intensive applications. By incorporating this into your Openclaw Skills collection, you gain the ability to observe the AI's reasoning process in real-time, which is essential for debugging complex logic and ensuring high-quality outputs.
StepFun via OpenRouter Use Cases
- Deploying fast, cost-effective AI assistants using the Step-3.5 Flash free tier.
- Debugging complex AI logic by utilizing visible reasoning to see how the model reaches its conclusions.
- Developing multimodal applications that require processing both text and image data.
- Building automated CLI workflows that require low-latency streaming responses.
How StepFun via OpenRouter Works
- The skill interfaces with the OpenRouter API using a user-provided API key stored in environment variables.
- Users issue commands through the stepfun-cli, specifying parameters such as model selection and reasoning toggles.
- The skill formats and routes requests to the appropriate StepFun model endpoint via OpenRouter.
- Response data, including the chain-of-thought reasoning and the final answer, is streamed back to the user's terminal.
StepFun via OpenRouter Setup
To get started with this addition to your Openclaw Skills, follow these steps:
- Generate an API key by visiting the OpenRouter keys page.
- Configure your environment by exporting your key:
export OPENROUTER_API_KEY="your-key-here"
- Install the skill using the ClawHub package manager:
clawhub install stepfun-openrouter
StepFun via OpenRouter Data Schema & Taxonomy
The skill manages interaction data through specific CLI arguments and environment variables. Below is the primary configuration schema:
| Attribute | Type | Description |
|---|---|---|
| OPENROUTER_API_KEY | Environment Variable | Required for authentication with the OpenRouter service. |
| model | CLI Option | Defines which StepFun model to target (e.g., step-3.5-flash). |
| --reasoning | CLI Flag | Enables the retrieval and display of the model's internal reasoning process. |
StepFun via OpenRouter Advanced Features
- Support for visible reasoning to audit AI decision-making processes.
- High-speed response streaming for interactive real-time applications.
- Multimodal support allowing for advanced image and text analysis.
- Access to the Step-3.5 Flash free tier for low-cost development and testing within Openclaw Skills.
SKILL.md
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