Unified Kaggle skill. Use when the user explicitly mentions Kaggle, kaggle.com, a Kaggle URL, Kaggle competitions, Kaggle datasets/models/notebooks, Kaggle forums/discussions/writeups, Kaggle benchmarks, hackathons hosted on Kaggle, Kaggle badges, or Kaggle account setup. Do not use for generic ML, GPU/TPU, notebook, dataset, benchmark, or data-science tasks unless the user clearly ties them to Kaggle.
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Use this Skill: https://skilld.dev/gh/shepsci/kaggle-skill/kaggle
This session only. Nothing lands on disk.
≈151 tokens on demand. Your agent reads this file only when SKILL.md points to it.
Use this module for Kaggle benchmark task workflows and benchmark-related MCP endpoint notes.
kaggle b init -y
kaggle b t push my-task -f task.py --wait 600
kaggle b t run my-task -m gemini-2.5-pro --wait
kaggle b t status my-task
kaggle b t download my-task --include-sourceBenchmark lifecycle commands can create resources and consume quota. Confirm the task name, model, visibility, and expected cost before running them.
Source: SKILL.md on GitHub
The 'kaggle' skill is a comprehensive and secure integration for Kaggle platform operations. It implements multiple security best practices, including credential masking, restrictive file permissions, and protection against token leakage to third-party sites. It also handles untrusted user-generated content from forums using explicit boundary markers to prevent prompt injection.
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Risk: MEDIUM · 1 issue
28/45 files flagged
Score: 93/100 · 2 sections analyzed
Signed by skilld at 256664c. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.
Last checked against GitHub 2 months ago.
{
"author": "shepsci",
"version": "2.4.0",
"primaryEnv": "KAGGLE_API_TOKEN",
"openclaw": {
"requires": {
"bins": [
"python3",
"pip3"
],
"env": [
"KAGGLE_API_TOKEN"
]
}
}
}