mukul975/Anthropic-Cybersecurity-Skills
Anthropic-Cybersecurity-Skills
754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
Usage guide
Anthropic-Cybersecurity-Skills is an open-source project around ai-agents, claude-code, cloud-security with 9,971 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in Python, useful for judging integration effort in a similar stack.
- GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating Anthropic-Cybersecurity-Skills for Python AI workflows.
- Comparing a GitHub project with 9,971 stars and current repository activity.
Pros
- Anthropic-Cybersecurity-Skills has visible GitHub traction with 9,971 stars. Topics: ai-agents, claude-code, cloud-security.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the Apache-2.0 terms fit your use case.
Production readiness
Anthropic-Cybersecurity-Skills should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
Install tutorial
Before you install
- Python runtime and an isolated virtual environment
- Node.js and the package manager used by the project
- A clean working directory for the first test run
Check the runtime environment
Anthropic-Cybersecurity-Skills depends on a Python-style environment. Use venv, conda, or a container to keep dependencies isolated.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills.gitInstall or build dependencies
Run the next setup command detected from the project documentation.
$ npx skills add mukul975/Anthropic-Cybersecurity-SkillsTroubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented Anthropic-Cybersecurity-Skills example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is Anthropic-Cybersecurity-Skills?
Anthropic-Cybersecurity-Skills is an open-source ai agents project. 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
How do I install Anthropic-Cybersecurity-Skills?
Start with the official README. The first detected setup step is: git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git.
Is Anthropic-Cybersecurity-Skills beginner-friendly?
If you already know the Python ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can Anthropic-Cybersecurity-Skills be used commercially?
GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does Anthropic-Cybersecurity-Skills need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt Anthropic-Cybersecurity-Skills?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.