sota-tracker-clawProvides daily-updated, authoritative rankings and metadata of state-of-the-art AI models aggregated from leading sources via JSON, API, or local queries.
Install via ClawdBot CLI:
clawdbot install romancircus/sota-tracker-clawGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
/var/log/Calls external URL not in known-safe list
https://lmarena.aiUses known external API (expected, informational)
raw.githubusercontent.comAI Analysis
The skill primarily downloads public datasets from known AI benchmarking sources (LMArena, Artificial Analysis, HuggingFace) and provides data access methods. While it accesses system directories for embedding updates, this appears to be for legitimate file management, not credential harvesting or data exfiltration. No hidden instructions or obfuscation were found.
Generated Mar 22, 2026
Research teams need to quickly identify the best-performing models for specific tasks like code generation or image synthesis. The SOTA Tracker provides daily-updated rankings across categories, allowing researchers to compare models like Qwen3-Coder for coding tasks or FLUX.2-dev for image generation without manually monitoring multiple sources.
Companies evaluating cloud LLM APIs for production use can use the SOTA Tracker to compare performance rankings of models like Gemini 3 Pro, Grok 4.1, and Claude Opus 4.5. The forbidden models list helps avoid outdated options, while the REST API enables integration into internal procurement dashboards.
Video production studios can leverage the video and video2audio categories to identify top models like LTX-2 for video generation and MMAudio V2 Large for foley sound. The daily updates ensure they're using current state-of-the-art tools, and CSV exports allow integration with their asset management systems.
Coding bootcamps and tutorial platforms can use the llm_local and llm_coding categories to recommend optimal local models like Qwen3 or Llama 3.3 for student projects. The SQLite database allows creating custom queries to show model comparisons, while the static file embedding minimizes token costs for Claude Code users.
Consulting firms offering AI adoption services can run their own scraper to maintain private benchmarks for clients. They can extend the scrapers to include proprietary data sources, use the REST API's compare endpoint for client reports, and leverage GitHub Actions for automated daily updates of their internal knowledge base.
Offer premium API access with higher rate limits, historical data access, and custom categories for enterprise clients. Revenue comes from monthly subscriptions tiered by query volume and data freshness requirements, targeting AI teams needing reliable, programmatic access to SOTA rankings.
License the entire stack (scrapers, database, API) to companies wanting to run internal SOTA tracking without development overhead. Provide setup support and custom source integration for a one-time fee plus annual maintenance, serving industries like finance or healthcare with compliance needs.
Offer professional services to integrate SOTA Tracker into clients' existing workflows—embedding data into their Claude Code setup, building custom dashboards using the REST API, or extending scrapers for niche model categories. Charge hourly or project-based rates for implementation and training.
💬 Integration Tip
Start with the static file embedding for Claude Code to minimize token costs, then explore the REST API for programmatic access once familiar with the data structure.
Scored Apr 19, 2026
Audited Apr 17, 2026 · audit v1.0
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