--- title: "Anthropic-Cybersecurity-Skills vs awesome-agent-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mukul975-anthropic-cybersecurity-skills-vs-voltagent-awesome-agent-skills" tools: ["mukul975-anthropic-cybersecurity-skills", "voltagent-awesome-agent-skills"] --- # Anthropic-Cybersecurity-Skills vs awesome-agent-skills Neutral, constraint-first comparison with live GitHub stats. | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [awesome-agent-skills](/tools/voltagent-awesome-agent-skills.md) | | --- | --- | --- | | Tagline | The largest open-source cybersecurity skills library for AI agents | A collection of over 1000 agent skills compatible with multiple AI agents. | | Stars | 24,937 | 27,576 | | Forks | 2,861 | 2,953 | | Open issues | 35 | 49 | | Language | Python | - | | Adopt for | A comprehensive, open-source cybersecurity skill library for AI agents with unparalleled framework integration. | awesome-agent-skills is a curated collection of over 1000 agent skills, ensuring practical use cases and quality by sourcing from official development teams and community contributors. It supports multiple AI platforms,硌 | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 License allows for free use, modification, and distribution provided that the copyright notice is preserved; ideal for collaborative development projects. | MIT | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [awesome-agent-skills](/tools/voltagent-awesome-agent-skills.md) | | --- | --- | --- | | Days since push | 12d | 7d | | Open issues (now) | 35 | 49 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust.md) | [trust report](/tools/voltagent-awesome-agent-skills/trust.md) | **Typed relationship:** Anthropic-Cybersecurity-Skills _(alternative)_ awesome-agent-skills Both repositories provide large collections of agent skills with broad applicability to cybersecurity and development tasks. ## Decision facts: Anthropic-Cybersecurity-Skills - **Requirements:** Min 1 GB RAM - **Adopt for:** A comprehensive, open-source cybersecurity skill library for AI agents with unparalleled framework integration. - **License detail:** Apache-2.0 License allows for free use, modification, and distribution provided that the copyright notice is preserved; ideal for collaborative development projects. ## Decision facts: awesome-agent-skills - **Pricing:** freemium - MIT license; free to use for all projects. Contributions from the community drive its growth and maintenance. - **Requirements:** Compatible with multiple AI platforms such as Claude Code, Codex, Gemini CLI, Cursor, etc., ensuring wide applicability. - **Adopt for:** awesome-agent-skills is a curated collection of over 1000 agent skills, ensuring practical use cases and quality by sourcing from official development teams and community contributors. It supports multiple AI platforms,硌 ## Choose when ### Choose Anthropic-Cybersecurity-Skills if… - License: Anthropic-Cybersecurity-Skills is Apache-2.0, awesome-agent-skills is MIT. - Requirements: Min 1 GB RAM. - Both repositories provide large collections of agent skills with broad applicability to cybersecurity and development tasks. - Tags unique to Anthropic-Cybersecurity-Skills: incident-response, cybersecurity, ethical-hacking, infosec. - When you need an extensive and meticulously structured set of 817 cybersecurity skills that span across 29 security domains. ### Choose awesome-agent-skills if… - License: awesome-agent-skills is MIT, Anthropic-Cybersecurity-Skills is Apache-2.0. - Pricing: MIT license; free to use for all projects. Contributions from the community drive its growth and maintenance.. - Requirements: Compatible with multiple AI platforms such as Claude Code, Codex, Gemini CLI, Cursor, etc., ensuring wide applicability.. - Both repositories provide large collections of agent skills with broad applicability to cybersecurity and development tasks. - Tags unique to awesome-agent-skills: awesome-lists, agent-skills, codex-skills, claude-code-skills. - - **When you need a diverse range of high-quality skills**: awesome-agent-skills offers a wide array of skills vetted from leading tech companies like Anthropic, Google Labs, Stripe, Vercel, and many ## When NOT to use Anthropic-Cybersecurity-Skills - If you are seeking a solution that includes skills not compatible with the agentskills.io standard as this library strictly adheres to it. - When your project or use case falls outside of authorized penetration testing, security research, defense, and education, as the project strongly emphasizes lawful usage. ## When NOT to use awesome-agent-skills - - **If you prefer bulk-generated skill repositories**: Unlike other collections, awesome-agent-skills focuses on real-world engineering team contributions rather than mass AI-generated content. ## Common questions ### What is the difference between Anthropic-Cybersecurity-Skills and awesome-agent-skills? Anthropic-Cybersecurity-Skills: The largest open-source cybersecurity skills library for AI agents. awesome-agent-skills: A collection of over 1000 agent skills compatible with multiple AI agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Anthropic-Cybersecurity-Skills over awesome-agent-skills? Choose Anthropic-Cybersecurity-Skills over awesome-agent-skills when License: Anthropic-Cybersecurity-Skills is Apache-2.0, awesome-agent-skills is MIT; Requirements: Min 1 GB RAM; Both repositories provide large collections of agent skills with broad applicability to cybersecurity and development tasks; Tags unique to Anthropic-Cybersecurity-Skills: incident-response, cybersecurity, ethical-hacking, infosec; When you need an extensive and meticulously structured set of 817 cybersecurity skills that span across 29 security domains. ### When should I choose awesome-agent-skills over Anthropic-Cybersecurity-Skills? Choose awesome-agent-skills over Anthropic-Cybersecurity-Skills when License: awesome-agent-skills is MIT, Anthropic-Cybersecurity-Skills is Apache-2.0; Pricing: MIT license; free to use for all projects. Contributions from the community drive its growth and maintenance.; Requirements: Compatible with multiple AI platforms such as Claude Code, Codex, Gemini CLI, Cursor, etc., ensuring wide applicability.; Both repositories provide large collections of agent skills with broad applicability to cybersecurity and development tasks; Tags unique to awesome-agent-skills: awesome-lists, agent-skills, codex-skills, claude-code-skills; - **When you need a diverse range of high-quality skills**: awesome-agent-skills offers a wide array of skills vetted from leading tech companies like Anthropic, Google Labs, Stripe, Vercel, and many. ### When should I avoid Anthropic-Cybersecurity-Skills? If you are seeking a solution that includes skills not compatible with the agentskills.io standard as this library strictly adheres to it. When your project or use case falls outside of authorized penetration testing, security research, defense, and education, as the project strongly emphasizes lawful usage. ### When should I avoid awesome-agent-skills? - **If you prefer bulk-generated skill repositories**: Unlike other collections, awesome-agent-skills focuses on real-world engineering team contributions rather than mass AI-generated content. ### Is Anthropic-Cybersecurity-Skills or awesome-agent-skills more popular on GitHub? awesome-agent-skills has more GitHub stars (27,576 vs 24,937). Stars measure visibility, not whether either tool fits your constraints. ### Are Anthropic-Cybersecurity-Skills and awesome-agent-skills open source? Yes - both are open-source projects on GitHub (Anthropic-Cybersecurity-Skills: Apache-2.0, awesome-agent-skills: MIT). ### Where can I find alternatives to Anthropic-Cybersecurity-Skills or awesome-agent-skills? GraphCanon lists graph-backed alternatives at /tools/mukul975-anthropic-cybersecurity-skills/alternatives and /tools/voltagent-awesome-agent-skills/alternatives (/tools/mukul975-anthropic-cybersecurity-skills/alternatives.md, /tools/voltagent-awesome-agent-skills/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/mukul975-anthropic-cybersecurity-skills-vs-voltagent-awesome-agent-skills.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Anthropic-Cybersecurity-Skills or awesome-agent-skills? Anthropic-Cybersecurity-Skills: Active. awesome-agent-skills: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Anthropic-Cybersecurity-Skills and awesome-agent-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Anthropic-Cybersecurity-Skills: /tools/mukul975-anthropic-cybersecurity-skills/trust; awesome-agent-skills: /tools/voltagent-awesome-agent-skills/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mukul975-anthropic-cybersecurity-skills`](/api/graphcanon/graph?tool=mukul975-anthropic-cybersecurity-skills) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_