--- title: "agentic_security vs Anthropic-Cybersecurity-Skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/msoedov-agentic-security-vs-mukul975-anthropic-cybersecurity-skills" tools: ["msoedov-agentic-security", "mukul975-anthropic-cybersecurity-skills"] --- # agentic_security vs Anthropic-Cybersecurity-Skills *GraphCanon updated Aug 16, 2026* ## Verdict Pick agentic_security if agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing; 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. [agentic_security](https://agentic-security.vercel.app) reports 1.9k GitHub stars, 270 forks, and 70 open issues, last pushed Jun 23, 2026. [Anthropic-Cybersecurity-Skills](https://mahipal.engineer/Anthropic-Cybersecurity-Skills/) has 28k stars, 3.4k forks, and 46 open issues, last pushed Aug 8, 2026. Figures are from public GitHub metadata via [agentic_security's repository](https://github.com/msoedov/agentic_security) and [Anthropic-Cybersecurity-Skills's repository](https://github.com/mukul975/Anthropic-Cybersecurity-Skills). | | [agentic_security](/tools/msoedov-agentic-security.md) | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | | --- | --- | --- | | Tagline | Agentic LLM Vulnerability Scanner / AI red teaming kit | 817 structured cybersecurity skills for AI agents | | Stars | 1,943 | 27,958 | | Forks | 270 | 3,401 | | Open issues | 70 | 46 | | Language | Python | Python | | Adopt for | Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing. | 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. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices. | Apache-2.0 | | Categories | Evaluation & Observability, LLM Frameworks | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentic_security](/tools/msoedov-agentic-security.md) | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 35d | 8d | | Open issues (now) | 70 | 46 | | Stars delta | Unknown | +2.3k (30d) | | Open issues delta | Unknown | +6 (30d) | | Full report | [trust report](/tools/msoedov-agentic-security/trust.md) | [trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust.md) | ## Decision facts: agentic_security - **Adopt for:** Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing. - **License detail:** Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices. ## 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. ## Choose when ### Choose agentic_security if… - Tags unique to agentic_security: agent-framework, fuzzing, llm-evaluation, red-teaming. - Also covers LLM Frameworks. - agentic_security ships Docker support for self-hosted deployment. - Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities. ### Choose Anthropic-Cybersecurity-Skills if… - 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: ai-agents, cybersecurity, mitre-attack, nist-csf. - Also covers AI Agents. - - 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 NOT to use agentic_security - Teams require solutions that do not involve agent frameworks for vulnerability scanning. - Projects seek a no-fuzz-testing approach for evaluating LLM security. ## 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. ## Common questions ### What is the difference between agentic_security and Anthropic-Cybersecurity-Skills? agentic_security: Agentic LLM Vulnerability Scanner / AI red teaming kit. Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentic_security over Anthropic-Cybersecurity-Skills? Choose agentic_security over Anthropic-Cybersecurity-Skills when Tags unique to agentic_security: agent-framework, fuzzing, llm-evaluation, red-teaming; Also covers LLM Frameworks; agentic_security ships Docker support for self-hosted deployment; Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities. ### When should I choose Anthropic-Cybersecurity-Skills over agentic_security? Choose Anthropic-Cybersecurity-Skills over agentic_security when 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: ai-agents, cybersecurity, mitre-attack, nist-csf; Also covers AI Agents; - 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 avoid agentic_security? Teams require solutions that do not involve agent frameworks for vulnerability scanning. Projects seek a no-fuzz-testing approach for evaluating LLM security. ### 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. ### Is agentic_security or Anthropic-Cybersecurity-Skills more popular on GitHub? Anthropic-Cybersecurity-Skills has more GitHub stars (27,958 vs 1,943). Stars measure visibility, not whether either tool fits your constraints. ### Are agentic_security and Anthropic-Cybersecurity-Skills open source? Yes - both are open-source projects on GitHub (agentic_security: Apache-2.0, Anthropic-Cybersecurity-Skills: Apache-2.0). ### Where can I find alternatives to agentic_security or Anthropic-Cybersecurity-Skills? GraphCanon lists graph-backed alternatives at [agentic_security alternatives](/tools/msoedov-agentic-security/alternatives) and [Anthropic-Cybersecurity-Skills alternatives](/tools/mukul975-anthropic-cybersecurity-skills/alternatives) ([agentic_security markdown twin](/tools/msoedov-agentic-security/alternatives.md), [Anthropic-Cybersecurity-Skills markdown twin](/tools/mukul975-anthropic-cybersecurity-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 [this comparison](/compare/msoedov-agentic-security-vs-mukul975-anthropic-cybersecurity-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentic_security or Anthropic-Cybersecurity-Skills? agentic_security: Steady. Anthropic-Cybersecurity-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 agentic_security and Anthropic-Cybersecurity-Skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic_security trust report](/tools/msoedov-agentic-security/trust); [Anthropic-Cybersecurity-Skills trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=msoedov-agentic-security`](/api/graphcanon/graph?tool=msoedov-agentic-security) - 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/_