Nvidia Kaggle Skill
NVIDIA/nvidia-kaggle
A skill your agent uses for Kaggle competition overview fetches, writeups, discussion/kernel research, submissions, and dataset uploads.
Agent skill
Kaggle Research
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Custom licenceAuto-check passed
Install Kaggle Research
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills kaggle-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/72-kaggle-research/kaggle-research .claude/skills/kaggle-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "kaggle-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/72-kaggle-research/kaggle-research into .claude/skills/kaggle-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kaggle-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/72-kaggle-research/kaggle-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills kaggle-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/72-kaggle-research/kaggle-research .agents/skills/kaggle-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kaggle-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/72-kaggle-research/kaggle-research into .agents/skills/kaggle-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kaggle-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills kaggle-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/72-kaggle-research/kaggle-research .cursor/skills/kaggle-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "kaggle-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/72-kaggle-research/kaggle-research into .cursor/skills/kaggle-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kaggle-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/72-kaggle-research/kaggle-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills kaggle-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/72-kaggle-research/kaggle-research .gemini/skills/kaggle-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "kaggle-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/72-kaggle-research/kaggle-research into .gemini/skills/kaggle-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kaggle-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills kaggle-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/72-kaggle-research/kaggle-research .github/skills/kaggle-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "kaggle-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/72-kaggle-research/kaggle-research into .github/skills/kaggle-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kaggle-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills kaggle-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/72-kaggle-research/kaggle-research .opencode/skills/kaggle-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "kaggle-research" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/72-kaggle-research/kaggle-research into .opencode/skills/kaggle-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kaggle-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
kaggle-research- GitHub stars
- 4.6k
- Token cost
- ~868 tokens
- SKILL.md length
- 298 words
- Files
- 25 (incl. scripts, references)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
- Works in 7 steps: Confirm the requested Kaggle resource… → Use an isolated Python 3.11+ environment… → Configure Kaggle authentication outside… → …
- A research task needs reproducible Kaggle discovery
- SKILL.md covers Required workflow, Safe command execution, Real read-only verification and Reference routing
- Runs Python scripts from its folder; calls python
What it does
Kaggle Research is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.
Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 28 other files, including scripts and reference files (for example `references/authentication.md`, `references/competitions.md` and `references/datasets.md`).
It works with Kaggle. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
When your agent uses it
- A research task needs reproducible Kaggle discovery
- Metadata inspection
- Bounded public-data downloads
- Kernel discovery
Example prompts
- “/kaggle-research”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Confirm the requested Kaggle resource and whether the action is read,
- Use an isolated Python 3.11+ environment with kaggle>=2.2,<3.
- Configure Kaggle authentication outside commands and source files. Never
- Run the non-mutating prerequisite check
- Run discovery commands before downloads or mutations. Keep every download
- Preserve generated audit JSON and artifact hashes with the research outputs.
- Report exact commands, resource references, timestamps, failures, and
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 8 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Kaggle Research loads about 868 tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 298 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 298 words (~868 tokens).
“Use the official Kaggle CLI through the policy-enforcing wrapper in this skill. The wrapper records bounded, redacted audit data; confines downloads to an approved directory; and blocks remote mutation unless the user explicitly authorizes it.”
- name
- kaggle-research
Files
SKILL.md and 24 other files (scripts, references) in skills/72-kaggle-research/kaggle-research of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- references/authentication.md
- references/competitions.md
- references/datasets.md
- references/kernels.md
- references/models.md
- references/testing-and-safety.md
- scripts/kaggle_research.py
- scripts/kaggle_runtime/__init__.py
- scripts/kaggle_runtime/artifacts.py
- scripts/kaggle_runtime/commands.py
- scripts/kaggle_runtime/result.py
- scripts/kaggle_runtime/runner.py
- scripts/kaggle_runtime/security.py
- scripts/kaggle_runtime/smoke.py
- tests/__init__.py
- tests/_support.py
- … and 8 more
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Kaggle Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Kaggle Research this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~868 | Automated safety check: Pass | Custom licence | |
| Nvidia Kaggle SkillNVIDIA/nvidia-kaggle | 338 | — | ~2.3k | Automated safety check: Notes | MIT | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT | |
| Lilly Community Researchssaaffaakk/Lilly | 171 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Review DocsKaggle/kaggle-environments | 455 | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Create HarnessKaggle/kaggle-environments | 455 | — | ~8.9k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Agentic Kaggle Workflow
FrankS-IntelLab/agentic-kaggle-skill
Takes a Kaggle competition from rules and validation design through baselines, ensembling and notebook architecture to a scored submission.
Lilly Community Research
ssaaffaakk/Lilly
Lilly community-research skill. An agent skill from ssaaffaakk/Lilly.
Review Docs
Kaggle/kaggle-environments
Audit a game environment's README.md and AGENTS.md against its engine implementation.
Create Harness
Kaggle/kaggle-environments
Create or update an LLM harness that lets a language model play a kaggle-environments game.
Review Harness
Kaggle/kaggle-environments
Review an existing LLM harness for correctness and gameplay-impacting bugs.
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Related
Works with
Questions about Kaggle Research
What does Kaggle Research do?
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…. Kaggle Research is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.
When should I use Kaggle Research?
Kaggle Research fits situations like: A research task needs reproducible Kaggle discovery; metadata inspection; bounded public-data downloads; kernel discovery.
How do I install Kaggle Research in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research -a claude-code`. Or copy the skill folder (skills/72-kaggle-research/kaggle-research in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/kaggle-research in your project. Claude Code loads it when a task matches its description.
How do I install Kaggle Research in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research -a codex`. Or copy the skill folder (skills/72-kaggle-research/kaggle-research in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/kaggle-research in your project. Codex loads it when a task matches its description.
Can I use Kaggle Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kaggle-research, .gemini/skills/kaggle-research, .github/skills/kaggle-research and .opencode/skills/kaggle-research in your project.
What does Kaggle Research need to run?
Going by SKILL.md and its folder, Kaggle Research needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Kaggle Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Kaggle Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Kaggle Research use?
Kaggle Research has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Kaggle Research use?
About 868 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.
What are the alternatives to Kaggle Research?
Skills that share tags, products or a category with Kaggle Research: Nvidia Kaggle Skill (NVIDIA/nvidia-kaggle, 338 stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars), Lilly Community Research (ssaaffaakk/Lilly, 171 stars) and Review Docs (Kaggle/kaggle-environments, 455 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Kaggle Research?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.