skills — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by probabl-ai · Claude Skill · ★ 124

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is skills safe to install? View the security audit →

About skills

Probabl Skills A set of skills to team up with you in your machine learning experimentation journey. It helps you at: organizing your workspace building your machine learning pipeline with the right libraries ensuring good methodologies evaluating and storing your results such that you can easily audit and get insights from them couple it with Skore Hub to get a comprehensive view of your experiments and their results iterate on your next experiments taking insights thanks to Skore diagnostics and your own feedback So we aim at allowing you to focus on the science, letting AI agents to take care about the implementation but guided by two important ingredients: great libraries for the maintainability and good methodologies to make experiments right. In practice, from a prompt such as: you can expect your agent to start experimenting with you. The skills are working pretty well with models such as Claude Opus and Sonnet and gives really good results with smaller models such as Q

skills

Quick Facts

Stars124
Forks8
LanguagePython
CategoryClaude Skill
LicenseBSD-3-Clause
Quality Score69.2256070581236/100
Open Issues44
Last Updated2026-09-15
Created2026-05-05
Platformsclaude-code, python
Est. Tokens~14k

skills alternative? Top 6 similar tools

Looking for a skills alternative? If you're comparing skills with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • bm.md by miantiao-me · ⭐ 618

    更好用的 Markdown 排版助手|专为微信公众号与多平台排版设计,支持富文本复制、图片生成与矢量 PDF 导出。

  • n8n-claw by freddy-schuetz · ⭐ 550

    OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templ

  • copilot-mcp by VikashLoomba · ⭐ 505

    A VSCode extension that lets you find and install Agent Skills and MCP Apps to use with GitHub Copilot, Claude

  • open-skills by instavm · ⭐ 446

    OpenSkills: Run Claude Skills Locally using any LLM

  • agents by astronomer · ⭐ 445

    AI agent tooling for data engineering workflows.

  • agnix by agent-sh · ⭐ 421

    The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug

More Claude Skill Tools

Explore other popular claude skill tools:

View all Claude Skill tools →

Popular Python Agent Tools

Frequently Asked Questions

What is skills?

skills is Data Science Skills for AI agents like Claude Code. It is categorized as a Claude Skill with 124 GitHub stars.

What programming language is skills written in?

skills is primarily written in Python. It covers topics such as skills.

How do I install or use skills?

You can find installation instructions and usage details in the skills GitHub repository at github.com/probabl-ai/skills. The project has 124 stars and 8 forks, indicating an active community.

What license does skills use?

skills is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.

What are the best alternatives to skills?

The top alternatives to skills on Agent Skills Hub include bm.md, n8n-claw, copilot-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse Claude Skill tools