transformers vs Anthropic-Cybersecurity-Skills
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| transformers | Anthropic-Cybersecurity-Skills | |
|---|---|---|
| Tagline | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models | 817 structured cybersecurity skills for AI agents |
| Stars | 162k | 25k |
| Forks | 34k | 2.8k |
| Open issues | 2.5k | 33 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jun 26, 2026 |
| Categories | Model Training, Data & Retrieval, LLM Frameworks | AI Agents, Developer Tools |
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
Python
Anthropic-Cybersecurity-Skills
A repository containing production-grade cybersecurity skills mapped to multiple frameworks (MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & F3) designed to enhance security capabilities of AI agents across various platforms.
Python