Anthropic-Cybersecurity-Skills vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Anthropic-Cybersecurity-Skills | ollama | |
|---|---|---|
| Tagline | 817 structured cybersecurity skills for AI agents | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 25k | 176k |
| Forks | 2.8k | 17k |
| Open issues | 33 | 3.4k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jun 26, 2026 | Jul 7, 2026 |
| Categories | AI Agents, Developer Tools | AI Agents, LLM Frameworks |
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
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go