DietrichGebert/ponytail
Ponytail enables AI agents to generate more concise, efficient, and cost-effective code by enforcing a "lazy senior dev" methodology, prioritizing existing solutions and minimal implementation.
Awesome AI Agents › AI Assistants
mukul975/Anthropic-Cybersecurity-Skills
This project, Anthropic Cybersecurity Skills, provides the largest open-source library of structured cybersecurity skills designed for AI agents. It features 754 production-grade skills categorized across 26 security domains. A key highlight is its mapping to five major industry frameworks: MITRE ATT&CK (v19.1), NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF, offering unparalleled cross-framework coverage. Each skill contains YAML frontmatter for quick discovery and is compatible with the agentskills.io open standard, enabling integration with various AI platforms like Claude Code, GitHub Copilot, OpenAI Codex CLI, and Gemini CLI. The project aims to bridge the cybersecurity workforce gap by empowering AI agents with structured operational knowledge, moving beyond simple scripts or checklists. It equips AI agents with the decision-making workflows typically followed by senior security analysts, including prerequisites, step-by-step execution, and result verification. This initiative helps transform generic large language models into capable security analysts by providing the necessary domain-specific playbooks. The repository also includes a quick start guide for integration and a link to a playground for hands-on experience with live cybersecurity skill exercises.
https://github.com/mukul975/Anthropic-Cybersecurity-Skills
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