--- title: "Anthropic-Cybersecurity-Skills vs awesome-ai-agents-security" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mukul975-anthropic-cybersecurity-skills-vs-projectrecon-awesome-ai-agents-security" tools: ["mukul975-anthropic-cybersecurity-skills", "projectrecon-awesome-ai-agents-security"] --- # Anthropic-Cybersecurity-Skills vs awesome-ai-agents-security *GraphCanon updated Aug 16, 2026* ## Verdict Pick Anthropic-Cybersecurity-Skills if anthropic-Cybersecurity-Skills is a comprehensive repository of 817 structured cybersecurity skills mapped across six industry frameworks, making it highly versatile for various AI platforms and security needs; pick awesome-ai-agents-security if awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection. [Anthropic-Cybersecurity-Skills](https://mahipal.engineer/Anthropic-Cybersecurity-Skills/) reports 28k GitHub stars, 3.4k forks, and 46 open issues, last pushed Aug 8, 2026. [awesome-ai-agents-security](https://github.com/ProjectRecon/awesome-ai-agents-security) has 59 stars, 74 forks, and 61 open issues, last pushed Jun 12, 2026. Figures are from public GitHub metadata via [Anthropic-Cybersecurity-Skills's repository](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) and [awesome-ai-agents-security's repository](https://github.com/ProjectRecon/awesome-ai-agents-security). | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | | --- | --- | --- | | Tagline | 817 structured cybersecurity skills for AI agents | A curated list of open-source tools and resources for securing autonomous AI agents. | | Stars | 27,958 | 59 | | Forks | 3,401 | 74 | | Open issues | 46 | 61 | | Language | Python | - | | Adopt for | Anthropic-Cybersecurity-Skills is a comprehensive repository of 817 structured cybersecurity skills mapped across six industry frameworks, making it highly versatile for various AI platforms and security needs. | awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 8d | 58d | | Open issues (now) | 46 | 61 | | Stars delta | +2.3k (30d) | Unknown | | Open issues delta | +6 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust.md) | [trust report](/tools/projectrecon-awesome-ai-agents-security/trust.md) | ## Decision facts: Anthropic-Cybersecurity-Skills - **Pricing:** freemium - Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support. - **Requirements:** Min 4 GB RAM; Supports integration with over 20 platforms including Claude Code and GitHub Copilot; Requires basic understanding of cybersecurity frameworks for optimal use - **Adopt for:** Anthropic-Cybersecurity-Skills is a comprehensive repository of 817 structured cybersecurity skills mapped across six industry frameworks, making it highly versatile for various AI platforms and security needs. ## Decision facts: awesome-ai-agents-security - **Adopt for:** awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection. ## Choose when ### Choose Anthropic-Cybersecurity-Skills if… - License: Anthropic-Cybersecurity-Skills is Apache-2.0, awesome-ai-agents-security is Other. - Pricing: Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support.. - Requirements: Min 4 GB RAM; Supports integration with over 20 platforms including Claude Code and GitHub Copilot; Requires basic understanding of cybersecurity frameworks for optimal use. - Tags unique to Anthropic-Cybersecurity-Skills: mitre-attack, nist-csf, security, threat-hunting. - - Use when you require integration with multiple cybersecurity frameworks like MITRE ATT&CK, NIST CSF 2.0, and others, providing a robust foundation for skill-based operations. ### Choose awesome-ai-agents-security if… - License: awesome-ai-agents-security is Other, Anthropic-Cybersecurity-Skills is Apache-2.0. - Tags unique to awesome-ai-agents-security: ai-security, autonomous-agents, awesome-list, generative-ai. - When needing a comprehensive overview of open-source tools for securing autonomous AI agents across different phases such as red teaming and runtime protection ## When NOT to use Anthropic-Cybersecurity-Skills - - Avoid if your project specifically requires skills mapped exclusively to a single framework not among the six supported by Anthropic-Cybersecurity-Skills. - - Not suitable for projects that do not align with or benefit from the agentskills.io standard implementation, as it might limit customization options. ## When NOT to use awesome-ai-agents-security - When you require real-time threat intelligence feeds, which are not provided by this repository's static resource lists - For organizations focusing on proprietary tools and resources that prefer not to use open-source solutions for their AI agents' security lifecycle management ## Common questions ### What is the difference between Anthropic-Cybersecurity-Skills and awesome-ai-agents-security? Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. awesome-ai-agents-security: A curated list of open-source tools and resources for securing autonomous AI agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Anthropic-Cybersecurity-Skills over awesome-ai-agents-security? Choose Anthropic-Cybersecurity-Skills over awesome-ai-agents-security when License: Anthropic-Cybersecurity-Skills is Apache-2.0, awesome-ai-agents-security is Other; Pricing: Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support.; Requirements: Min 4 GB RAM; Supports integration with over 20 platforms including Claude Code and GitHub Copilot; Requires basic understanding of cybersecurity frameworks for optimal use; Tags unique to Anthropic-Cybersecurity-Skills: mitre-attack, nist-csf, security, threat-hunting; - Use when you require integration with multiple cybersecurity frameworks like MITRE ATT&CK, NIST CSF 2.0, and others, providing a robust foundation for skill-based operations. ### When should I choose awesome-ai-agents-security over Anthropic-Cybersecurity-Skills? Choose awesome-ai-agents-security over Anthropic-Cybersecurity-Skills when License: awesome-ai-agents-security is Other, Anthropic-Cybersecurity-Skills is Apache-2.0; Tags unique to awesome-ai-agents-security: ai-security, autonomous-agents, awesome-list, generative-ai; When needing a comprehensive overview of open-source tools for securing autonomous AI agents across different phases such as red teaming and runtime protection. ### When should I avoid Anthropic-Cybersecurity-Skills? - Avoid if your project specifically requires skills mapped exclusively to a single framework not among the six supported by Anthropic-Cybersecurity-Skills. - Not suitable for projects that do not align with or benefit from the agentskills.io standard implementation, as it might limit customization options. ### When should I avoid awesome-ai-agents-security? When you require real-time threat intelligence feeds, which are not provided by this repository's static resource lists For organizations focusing on proprietary tools and resources that prefer not to use open-source solutions for their AI agents' security lifecycle management ### Is Anthropic-Cybersecurity-Skills or awesome-ai-agents-security more popular on GitHub? Anthropic-Cybersecurity-Skills has more GitHub stars (27,958 vs 59). Stars measure visibility, not whether either tool fits your constraints. ### Are Anthropic-Cybersecurity-Skills and awesome-ai-agents-security open source? Yes - both are open-source projects on GitHub (Anthropic-Cybersecurity-Skills: Apache-2.0, awesome-ai-agents-security: Other). ### Where can I find alternatives to Anthropic-Cybersecurity-Skills or awesome-ai-agents-security? GraphCanon lists graph-backed alternatives at [Anthropic-Cybersecurity-Skills alternatives](/tools/mukul975-anthropic-cybersecurity-skills/alternatives) and [awesome-ai-agents-security alternatives](/tools/projectrecon-awesome-ai-agents-security/alternatives) ([Anthropic-Cybersecurity-Skills markdown twin](/tools/mukul975-anthropic-cybersecurity-skills/alternatives.md), [awesome-ai-agents-security markdown twin](/tools/projectrecon-awesome-ai-agents-security/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 [this comparison](/compare/mukul975-anthropic-cybersecurity-skills-vs-projectrecon-awesome-ai-agents-security.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-ai-agents-security? Anthropic-Cybersecurity-Skills: Active. awesome-ai-agents-security: Steady. 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-ai-agents-security? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Anthropic-Cybersecurity-Skills trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust); [awesome-ai-agents-security trust report](/tools/projectrecon-awesome-ai-agents-security/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/_