What is nvidia-kaggle-skill?

A set of instructions for working with Kaggle, a website for data-science competitions and shared datasets. It covers competition information, research, local copies, submissions, and dataset uploads.

Use it to review competitions, read writeups and discussions, inspect or reproduce kernels, submit results, and upload datasets.

It keeps Kaggle-specific work focused and clarifies when API access and enough disk space are needed.

nvidia-kaggle-skill — Skill for Claude Code and Codex by NVIDIA: A set of instructions for working with Kaggle, a…

About the project

NVIDIA Kaggle Plugin is an agent skill that supports Kaggle competition work, including researching competitions, reproducing notebooks locally, submitting solutions, and managing datasets. It is for coding agents working with Kaggle competitions, and the catalogue add-ons provide its agent workflow.

NVIDIA/nvidia-kaggle · 314 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/nvidia/nvidia-kaggle/nvidia-kaggle-skill

Any agent

npx skills add NVIDIA/nvidia-kaggle --skill nvidia-kaggle-skill

Clone the repo

git clone --depth 1 https://github.com/NVIDIA/nvidia-kaggle

Made for: Claude Code, Codex.

Or install nvidia-kaggle, the plugin that ships this one along with the rest of its 1 skill.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/nvidia/nvidia-kaggle/nvidia-kaggle-skill.svg)](https://agentmods.dev/skills/nvidia/nvidia-kaggle/nvidia-kaggle-skill)

Your own site

<a href="https://agentmods.dev/skills/nvidia/nvidia-kaggle/nvidia-kaggle-skill"><img src="https://agentmods.dev/badge/skills/nvidia/nvidia-kaggle/nvidia-kaggle-skill.svg" alt="Measured on agentmods" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,019 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.02019
Opus 5	$0.00018	$0.01009
Sonnet 5	$0.00007	$0.00404
Haiku 4.5	$0.00004	$0.00202

Measured 5d ago against content hash 6a5f689f7c12, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

nvidia-kaggle-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

The scan reads SKILL.md. This mod also ships 36 executable files (scripts/constants.py, scripts/db_info.py, scripts/discussion_db_info.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/nvidia-kaggle-skill/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NVIDIA Kaggle Skill

Purpose

Use this skill for Kaggle competition work: context gathering, writeups, discussions, kernels, local reproduction, submission, and dataset upload.

Do not use it for unrelated ML training, generic notebook editing, general data analysis, or non-Kaggle dataset management unless the user explicitly ties the task to Kaggle.

Inputs

Input	Required	Description
Kaggle slug, URL, writeup URL, kernel ref, or local folder	Depends on task	Primary target for the requested Kaggle action.
`KAGGLE_API_TOKEN`	Required for API/CLI-backed workflows	KGAT token string for Kaggle API, CLI, and SDK calls.
Disk space	Required for kernel setup	Must fit input datasets, competition data, models, and extracted archives.

Prerequisites

Run commands from this skill directory unless a referenced workflow says otherwise.
Install only the runtime packages needed for the requested workflow.
Set KAGGLE_API_TOKEN before API, CLI, kernel, discussion, dataset, or submission workflows.
Confirm local disk space before downloading competition data, kernel inputs, or extracted archives.
Require explicit user confirmation before sensitive, externally visible actions: competition submissions (each can consume a daily slot), dataset uploads, and creating a public dataset. Treat KAGGLE_API_TOKEN as a secret — never print, log, or echo it.

Runtime Dependencies

Install only the packages needed for the requested task into the current environment, then run scripts with python.

Kaggle API, CLI, kernels, discussions, datasets, competition pages, and writeups:

if command -v uv >/dev/null 2>&1; then
  uv pip install httpx kaggle kagglesdk nbformat pydantic python-dotenv rich
else
  python -m pip install httpx kaggle kagglesdk nbformat pydantic python-dotenv rich
fi

For API/CLI tasks, verify credentials before calling Kaggle:

: "${KAGGLE_API_TOKEN:?ERROR: KAGGLE_API_TOKEN environment variable is not set}"

Read the full file on GitHub · 173 lines

Files

What ships with it

42 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

5d ago First seen · 173 lines · 36 tokens per session scan A 6a5f689f7c12

Subscribe to this mod's changes

nvidia-kaggle-skill is a skill published in the GitHub repository NVIDIA/nvidia-kaggle (314 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 2,019 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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