Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Fix path traversal vulnerability in save_image (VirusTotal finding)
What This Skill Does
Connects to DigitalOcean's Gradient AI Serverless Inference API to run chat completions, generate images, and look up available models and pricing. The endpoint is OpenAI-compatible. Prompt caching is available via the Responses API to reduce costs on repeated context.
Because the endpoint is OpenAI-compatible, existing SDK code works with only a base URL change, and prompt caching via the Responses API reduces spend on follow-up queries that reuse the same context.
When to use it
- Running LLM queries without managing GPU servers
- Checking model pricing before committing to a workload
- Generating images from text prompts via serverless API
- Using prompt caching to cut costs on repeated context
- Browsing and filtering available models before hardcoding an ID
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: summarize this earnings report and compare it to last quarter
- 1Run gradient_pricing.py to check model costs before choosing
- 2Select a model based on context length and cost requirements
- 3Send the earnings report via the Responses API with store: true to cache the context
- 4Send the follow-up comparison query, reusing the cached context
Summary of the earnings report, then a cost-efficient comparison to last quarter with shared context billed only once due to prompt caching
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.