--- title: "Anthropic-Cybersecurity-Skills vs agent-toolkit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mukul975-anthropic-cybersecurity-skills-vs-softaworks-agent-toolkit" tools: ["mukul975-anthropic-cybersecurity-skills", "softaworks-agent-toolkit"] --- # Anthropic-Cybersecurity-Skills vs agent-toolkit *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 agent-toolkit if extends AI coding agent capabilities with Python skills for development and professional workflows. [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. [agent-toolkit](https://github.com/softaworks/agent-toolkit) has 2.3k stars, 217 forks, and 17 open issues, last pushed Mar 5, 2026. Figures are from public GitHub metadata via [Anthropic-Cybersecurity-Skills's repository](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) and [agent-toolkit's repository](https://github.com/softaworks/agent-toolkit). | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | | --- | --- | --- | | Tagline | 817 structured cybersecurity skills for AI agents | A curated collection of skills for AI coding agents | | Stars | 27,958 | 2,307 | | Forks | 3,401 | 217 | | Open issues | 46 | 17 | | Language | Python | 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. | Extends AI coding agent capabilities with Python skills for development and professional workflows | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 8d | 159d | | Open issues (now) | 46 | 17 | | 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/softaworks-agent-toolkit/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: agent-toolkit - **Adopt for:** Extends AI coding agent capabilities with Python skills for development and professional workflows ## Choose when ### Choose Anthropic-Cybersecurity-Skills if… - License: Anthropic-Cybersecurity-Skills is Apache-2.0, agent-toolkit is MIT. - 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 Evaluation & Observability. - - 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 agent-toolkit if… - License: agent-toolkit is MIT, Anthropic-Cybersecurity-Skills is Apache-2.0. - Tags unique to agent-toolkit: agent-skills, ai, automation, claude. - Also covers Developer Tools. - For enhancing specific tasks like documentation, planning, and workflow management ## 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 agent-toolkit - If you seek support for languages other than Python - When working with non-Python based coding agents that require specialized skills not covered by this toolkit - In cases where custom, from-scratch development is preferred over using pre-packaged scripts ## Common questions ### What is the difference between Anthropic-Cybersecurity-Skills and agent-toolkit? Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. agent-toolkit: A curated collection of skills for AI coding agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose Anthropic-Cybersecurity-Skills over agent-toolkit? Choose Anthropic-Cybersecurity-Skills over agent-toolkit when License: Anthropic-Cybersecurity-Skills is Apache-2.0, agent-toolkit is MIT; 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 Evaluation & Observability; - 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 agent-toolkit over Anthropic-Cybersecurity-Skills? Choose agent-toolkit over Anthropic-Cybersecurity-Skills when License: agent-toolkit is MIT, Anthropic-Cybersecurity-Skills is Apache-2.0; Tags unique to agent-toolkit: agent-skills, ai, automation, claude; Also covers Developer Tools; For enhancing specific tasks like documentation, planning, and workflow management. ### 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 agent-toolkit? If you seek support for languages other than Python When working with non-Python based coding agents that require specialized skills not covered by this toolkit In cases where custom, from-scratch development is preferred over using pre-packaged scripts ### Is Anthropic-Cybersecurity-Skills or agent-toolkit more popular on GitHub? Anthropic-Cybersecurity-Skills has more GitHub stars (27,958 vs 2,307). Stars measure visibility, not whether either tool fits your constraints. ### Are Anthropic-Cybersecurity-Skills and agent-toolkit open source? Yes - both are open-source projects on GitHub (Anthropic-Cybersecurity-Skills: Apache-2.0, agent-toolkit: MIT). ### Where can I find alternatives to Anthropic-Cybersecurity-Skills or agent-toolkit? GraphCanon lists graph-backed alternatives at [Anthropic-Cybersecurity-Skills alternatives](/tools/mukul975-anthropic-cybersecurity-skills/alternatives) and [agent-toolkit alternatives](/tools/softaworks-agent-toolkit/alternatives) ([Anthropic-Cybersecurity-Skills markdown twin](/tools/mukul975-anthropic-cybersecurity-skills/alternatives.md), [agent-toolkit markdown twin](/tools/softaworks-agent-toolkit/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-softaworks-agent-toolkit.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 agent-toolkit? Anthropic-Cybersecurity-Skills: Active. agent-toolkit: Slowing. 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 agent-toolkit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Anthropic-Cybersecurity-Skills trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust); [agent-toolkit trust report](/tools/softaworks-agent-toolkit/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/_