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/kaggle

@256664c
by Shep Scientificshepsci/kaggle-skill95 stars
8

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.

Ask your Agent

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

This session only. Nothing lands on disk.

modulesREADME.md

≈351 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Kaggle Modules

The modules are organized by user workflow. Old catch-all paths were removed, so use the table below when routing a task or updating docs.

Need Module
Account setup, token checks, environment setup, network checks setup
Competition pages, reports, submissions, hackathons competitions
Dataset download or publishing datasets
Model download or publishing models
Notebook publish, execution, polling, output download notebooks
Forums, resource topics, leaderboard solution writeups discussions
Benchmark task commands and endpoint notes benchmarks
Badge inventory, dry runs, and phase execution badges
Shared CLI, MCP, and platform references references

Routing Notes

  • Use setup/ before any live Kaggle operation.
  • Use competitions/ for both standard competitions and hackathons.
  • Use datasets/ and models/ separately; their kagglehub helpers are split.
  • Use discussions/ when any forum, topic, or writeup text will be read by an agent.
  • Use benchmarks/ before running commands that can create tasks or consume quota.
  • Use badges/ only after an explicit dry-run or user confirmation.

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
Bash Read WebFetch Grep Glob
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"
      ]
    }
  }
}

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