by wanshuiyin · Claude Skill · ★ 641
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 641 |
| Forks | 25 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 58/100 |
| Open Issues | 3 |
| Last Updated | 2026-11-06 |
| Created | 2026-05-19 |
| Platforms | claude-code, python |
| Est. Tokens | ~22k |
ARIS-in-AI-Offer (ARIS in 秋招) Hoping to make your 秋招 (qiūzhāo, Chinese AI campus recruiting season) a little easier 🌱 📖 中文版 (Chinese version): READMECN.md 📚 Jump to a topic — 23 first-party cheat sheets across 7 categories + 1 community-contributed category: 🧠 General / Foundations · 🎯 Post-Training & Reasoning · 🏛️ LLM Architecture & Systems · 🌊 Generative Models — Theory & Tokenizers ·...
These tools work well together with ARIS-in-AI-Offer for enhanced workflows:
Looking for a ARIS-in-AI-Offer alternative? If you're comparing ARIS-in-AI-Offer 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.
The fastest way to build and start training your own LLM. CLI tool that scaffolds production-ready PyTorch tra
Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Zig backend, Swif
🚀 200倍速！AI时代的下载神器 | Docker/PyPI/HuggingFace/CRAN 全加速 | 并行分片+智能缓存，让下载飞起来
A comprehensive AI learning roadmap covering Python fundamentals, mathematics, machine learning, deep learning
High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuou
🌟 A curated collection of free, high quality AI tools 🤖, APIs 🔗, datasets 📊, and learning resources 📚 cov
Explore other popular claude skill tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: