/

/kaggle

by Shep Scientificshepsci/kaggle-skill95 stars

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.

73 files
310.2 KB
MIT
Updated 3 months ago
GitHub
1 alert

Ask your Agent

Use this Skill: https://skilld.dev/gh/shepsci/kaggle-skill/kaggle

This session only. Nothing lands on disk.

modulesmodelsreferenceskagglehub-models.md

1.1 KB raw

≈279 tokens on demand. Your agent reads this file only when SKILL.md points to it.

kagglehub Model Reference

Official source: https://github.com/Kaggle/kagglehub

Install

uv pip install kagglehub
uv pip install kagglehub[signing]

Authentication

kagglehub checks KAGGLE_API_TOKEN, ~/.kaggle/access_token, Colab secrets, legacy KAGGLE_USERNAME plus KAGGLE_KEY, and ~/.kaggle/kaggle.json. Inside Kaggle notebooks, authentication is automatic.

model_download()

kagglehub.model_download(
    handle: str,               # "owner/model/framework/variation" or with /version
    path: str | None = None,   # optional file within the version
    force_download: bool = False,
    output_dir: str | None = None,
) -> str

model_upload()

kagglehub.model_upload(
    handle: str,                  # "owner/model/framework/variation"
    local_model_dir: str,
    license_name: str | None = None,
    version_notes: str = "",
    ignore_patterns: list[str] | str | None = None,
    sigstore: bool = False,
) -> None

Use sigstore=True only when kagglehub[signing] is installed and the user has explicitly asked for signed publishing.

Source: SKILL.md on GitHub

Third-party checks

1 alert16d5 checks · Risk SAFE

Gen Agent Trust Hub16d
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.
Socket16d
No alerts
Snyk16d
Risk: MEDIUM · 1 issue
Runlayer6mo
28/45 files flagged
ZeroLeaks5mo
Score: 93/100 · 2 sections analyzed

Provenance

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.

Activeupdated 3 months ago

Capability

homepage: https://github.com/shepsci/kaggle-skill

All 1 allowed tools

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Other metadata

compatibility: Python 3.11+, pip packages kagglehub>=1.0.0, kaggle>=2.2.3, kagglesdk>=0.1.33,<1.0, requests, python-dotenv. Optional: playwright for browser badges; kaggle-benchmarks for local benchmark task authoring. The competitions module's SPA-scraping steps assume Playwright MCP tools are provided by the host agent; the skill itself does not bundle them.
metadata: { "author": "shepsci", "version": "2.4.0", "primaryEnv": "KAGGLE_API_TOKEN", "openclaw": { "requires": { "bins": [ "python3", "pip3" ], "env": [ "KAGGLE_API_TOKEN" ] } } }