Flagged: installs a background service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by shepsci · MCP Server · ★ 81
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is kaggle-skill safe to install? View the security audit →
kaggle-skill An agent skill for everything Kaggle: account setup, competition landscape reports, dataset/model downloads, notebook execution, competition submissions, hackathon writeup retrieval, badge collection, and general Kaggle questions. Works with any AI coding agent that supports the SKILL format — including Claude Code, OpenClaw, Gemini CLI, Cursor, Codex, and 35+ more agents via skills.sh. Available On /plugin
| Stars | 81 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.8730234358106/100 |
| Last Updated | 2026-07-04 |
| Created | 2026-02-11 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~16k |
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kaggle-skill is Complete Kaggle integration plugin/skill for AI coding agents — competition reports, dataset/model downloads, notebook execution, and badge collection. Works with Claude Code, Gemini CLI, Cursor, Code. It is categorized as a MCP Server with 81 GitHub stars.
kaggle-skill is primarily written in Python. It covers topics such as agent-skill, ai-coding-agent, claude-code.
You can find installation instructions and usage details in the kaggle-skill GitHub repository at github.com/shepsci/kaggle-skill. The project has 81 stars and 5 forks, indicating an active community.
kaggle-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to kaggle-skill on Agent Skills Hub include agent-skills, skillfile, deterministic-agent-control-protocol. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: