Sota Tracker Mcp
Skill by romancircus
Why use this skill?
Stay ahead with Sota Tracker Mcp. Get daily updates on AI model rankings from LMArena, HuggingFace, and Artificial Analysis. Optimize your AI stack today.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/romancircus/sota-tracker-mcpWhat This Skill Does
The Sota Tracker Mcp skill, developed by romancircus, provides an automated, daily-updated database of the current State-of-the-Art (SOTA) AI models. It aggregates authoritative data from primary industry sources including LMArena, Artificial Analysis, and HuggingFace. By centralizing this information, the skill eliminates the manual labor of researching the rapidly evolving AI landscape. It provides structured access to rankings, benchmarks, pricing, and speed metrics for LLMs, image models, and audio generators. Whether you need to find the top-performing model for a specific task or want to check for deprecated/forbidden models to avoid in your pipeline, this skill acts as your single source of truth.
Installation
To install this skill, use the OpenClaw command-line interface:
clawhub install openclaw/skills/skills/romancircus/sota-tracker-mcp
Once installed, you can choose from various access methods: downloading raw JSON/CSV files, querying the local SQLite database, embedding summaries directly into your project via Claude Code, or launching the integrated REST API for programmatic access.
Use Cases
- Model Selection: Developers can quickly query the top-ranked models for specific categories like 'llm_api' to ensure they are building on the most capable infrastructure.
- Vendor Auditing: Use the 'forbidden' endpoint to automatically identify models that are outdated, deprecated, or restricted within your specific operational guidelines.
- Cost & Performance Optimization: Compare latency and pricing benchmarks sourced from Artificial Analysis to balance performance requirements with budget constraints.
- Automated Research: Integrate the REST API into your own CI/CD pipelines to ensure your AI agents are always referencing the latest, most accurate model metadata.
Example Prompts
- "Which LLM currently holds the highest Elo rank on LMArena, and what is its cost per million tokens?"
- "Check for any forbidden or deprecated models that I should remove from my current project configuration."
- "List the top 5 image generation models based on the latest SOTA tracker data."
Tips & Limitations
To minimize token usage, the author recommends the static file embedding approach for Claude Code users. While the MCP server offers dynamic real-time querying, it consumes more tokens. Always ensure your local database is updated daily using the provided scripts to maintain data accuracy. Note that while LLM data is automated, specialized categories like video or audio models may rely on manual curation, which occurs on a less frequent cycle.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-romancircus-sota-tracker-mcp": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, file-write, external-api