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.
npx skills add eric861129/SKILLS_All-in-one --skill kagglegit clone --depth 1 https://github.com/eric861129/SKILLS_All-in-oneWrote 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.
[](https://agentmods.dev/skills/eric861129/skills_all-in-one/kaggle)<a href="https://agentmods.dev/skills/eric861129/skills_all-in-one/kaggle"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/kaggle/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/eric861129/skills_all-in-one/kaggle"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/kaggle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00070 | $0.02686 |
| Opus 5 | $0.00035 | $0.01343 |
| Sonnet 5 | $0.00014 | $0.00537 |
| Haiku 4.5 | $0.00007 | $0.00269 |
Grade B, and why
kaggle scanned grade B with 1 finding 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 12d ago.
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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- Set file permissions: `chmod 600 .env ~/.kaggle/kaggle.json` This is a copy
100% identical to kaggle — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kaggle — Unified Skill
Complete Kaggle integration for any LLM or agentic coding system (Claude Code, gemini-cli, Cursor, etc.): account setup, competition reports, dataset/model downloads, notebook execution, competition submissions, badge collection, and general Kaggle questions. Four integrated modules working together.
Overlap guard: For hackathon grading evaluation and alignment analysis, use the kaggle-hackathon-grading skill instead.
Network requirements: outbound HTTPS to api.kaggle.com, www.kaggle.com,
and storage.googleapis.com.
Modules
| Module | Purpose |
|---|---|
| registration | Account creation, API key generation, credential storage |
| comp-report | Competition landscape reports with Playwright scraping |
| kllm | Core Kaggle interaction (kagglehub, CLI, MCP, UI) |
| badge-collector | Systematic badge earning across 5 phases |
Credential Setup
Always run the credential checker first:
python3 skills/kaggle/shared/check_all_credentials.py
Three credential types are needed for full compatibility:
| Variable | Format | Purpose |
|---|---|---|
KAGGLE_USERNAME |
Kaggle handle | Identity for all tools |
KAGGLE_KEY |
32-char hex | Legacy key (CLI, kagglehub, most MCP) |
KAGGLE_API_TOKEN |
KGAT_-prefixed |
Scoped token (some MCP endpoints) |
If any are missing, follow the registration walkthrough:
Read modules/registration/README.md for the full step-by-step guide.
Security: Never echo, log, or commit actual credential values.
Module: Registration
Walks users through creating a Kaggle account and generating all three API
credentials. Saves to .env and ~/.kaggle/kaggle.json.
Key commands:
python3 skills/kaggle/modules/registration/scripts/check_registration.py
bash skills/kaggle/modules/registration/scripts/setup_env.sh
Read modules/registration/README.md for the complete walkthrough.
Module: Competition Reports
What ships with it
44 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.
- modules/badge-collector/README.md 2.6 KB
- modules/badge-collector/references/badge-catalog.md 5.8 KB
- modules/badge-collector/scripts/badge_registry.py 8.5 KB runs code
- modules/badge-collector/scripts/badge_tracker.py 3.5 KB runs code
- modules/badge-collector/scripts/orchestrator.py 5.2 KB runs code
- modules/badge-collector/scripts/phase_1_instant_api.py 25 KB runs code
- modules/badge-collector/scripts/phase_2_competition.py 15 KB runs code
- modules/badge-collector/scripts/phase_3_pipeline.py 12 KB runs code
- modules/badge-collector/scripts/phase_4_browser.py 11 KB runs code
- modules/badge-collector/scripts/phase_5_streaks.py 3.8 KB runs code
- modules/badge-collector/scripts/templates/dataset-metadata.json 877 B
- modules/badge-collector/scripts/templates/kernel-metadata.json 418 B
- modules/badge-collector/scripts/templates/model-instance-metadata.json 255 B
- modules/badge-collector/scripts/templates/model-metadata.json 359 B
- modules/badge-collector/scripts/templates/python_notebook.ipynb 1.3 KB
- modules/badge-collector/scripts/templates/r_notebook.ipynb 1.1 KB
- modules/badge-collector/scripts/templates/README_dataset.md 621 B
- modules/badge-collector/scripts/templates/utility_script.py 802 B runs code
- modules/badge-collector/scripts/utils.py 3.3 KB runs code
- modules/comp-report/README.md 4.8 KB
- modules/comp-report/references/competition-categories.md 2.6 KB
- modules/comp-report/scripts/competition_details.py 4.2 KB runs code
- modules/comp-report/scripts/list_competitions.py 6.9 KB runs code
- modules/comp-report/scripts/utils.py 3.2 KB runs code
- modules/kllm/README.md 5.9 KB
- modules/kllm/references/cli-reference.md 6.1 KB
- modules/kllm/references/kaggle-knowledge.md 18 KB
- modules/kllm/references/kagglehub-reference.md 4.8 KB
- modules/kllm/references/mcp-reference.md 4.9 KB
- modules/kllm/scripts/check_credentials.py 4.3 KB runs code
- modules/kllm/scripts/cli_competition.sh 3.5 KB runs code
- modules/kllm/scripts/cli_download.sh 1.1 KB runs code
- modules/kllm/scripts/cli_execute.sh 3.4 KB runs code
- modules/kllm/scripts/cli_publish.sh 3.6 KB runs code
- modules/kllm/scripts/kagglehub_download.py 1.3 KB runs code
- modules/kllm/scripts/kagglehub_publish.py 2.2 KB runs code
- modules/kllm/scripts/network_check.sh 1.6 KB runs code
- modules/kllm/scripts/poll_kernel.sh 1.4 KB runs code
- modules/kllm/scripts/setup_env.sh 1.9 KB runs code
- modules/registration/README.md 4.2 KB
- modules/registration/references/kaggle-setup.md 6.1 KB
- modules/registration/scripts/check_registration.py 4.0 KB runs code
- modules/registration/scripts/setup_env.sh 1.5 KB runs code
- shared/check_all_credentials.py 5.7 KB runs code
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.
- 12d ago First seen · 255 lines · 70 tokens per session scan B f40452359ef9
kaggle is a skill published in the GitHub repository eric861129/SKILLS_All-in-one (52 stars, last pushed 4mo ago), licensed MIT. It adds 70 tokens to every session and 2,686 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). It is 100% identical to kaggle, differing in 0 lines, and is treated as a copy.
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