Steers Kaggle Hackathon hosts toward defensible LLM-assisted grading workflows collecting writeups and artifacts via the Kaggle MCP server, auditing with hamelsmu/evals-skills, and ranking submissions via pairwise comparisons / ELO with bell-curve adjustments. Use when a host wants to grade a public Kaggle Hackathon…
Write, push, run, publish, and manage Kaggle Benchmark tasks using the kaggle CLI and the kaggle-benchmarks Python SDK. Use when the user wants to create or push a benchmark task (optionally with attached Kaggle datasets), run benchmarks against LLM models, check task/run status, stream or fetch execution logs…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: