--- title: "Anthropic-Cybersecurity-Skills vs skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mukul975-anthropic-cybersecurity-skills-vs-qdrant-skills" tools: ["mukul975-anthropic-cybersecurity-skills", "qdrant-skills"] --- # Anthropic-Cybersecurity-Skills vs skills *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 skills if skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more. [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. [skills](https://skills.qdrant.tech) has 220 stars, 26 forks, and 17 open issues, last pushed Aug 5, 2026. Figures are from public GitHub metadata via [Anthropic-Cybersecurity-Skills's repository](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) and [skills's repository](https://github.com/qdrant/skills). | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [skills](/tools/qdrant-skills.md) | | --- | --- | --- | | Tagline | 817 structured cybersecurity skills for AI agents | Agent skills for Qdrant vector search, including scaling, performance optimization, and model migration. | | Stars | 27,958 | 220 | | Forks | 3,401 | 26 | | Open issues | 46 | 17 | | Language | Python | Shell | | 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. | Skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [skills](/tools/qdrant-skills.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 8d | 0d | | 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/qdrant-skills/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: skills - **Adopt for:** Skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more. ## Choose when ### Choose Anthropic-Cybersecurity-Skills if… - Anthropic-Cybersecurity-Skills is primarily Python; skills is Shell. - 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: cybersecurity, mitre-attack, nist-csf, security. - 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 skills if… - skills is primarily Shell; Anthropic-Cybersecurity-Skills is Python. - Tags unique to skills: agent-skills, embeddings, hybrid-search, monitoring. - Also covers Vector Databases. - Need help with optimizing or expanding your Qdrant deployment beyond millions of vectors ## 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 skills - Your Qdrant instance is performing well with fewer than a million vectors - Looking for help beyond vector search, such as database type selection or general AI agent tasks - Seeking advice on non-Qdrant-specific issues like cloud infrastructure setup outside of integration ## Common questions ### What is the difference between Anthropic-Cybersecurity-Skills and skills? Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. skills: Agent skills for Qdrant vector search, including scaling, performance optimization, and model migration.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Anthropic-Cybersecurity-Skills over skills? Choose Anthropic-Cybersecurity-Skills over skills when Anthropic-Cybersecurity-Skills is primarily Python; skills is Shell; 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: cybersecurity, mitre-attack, nist-csf, security; 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 skills over Anthropic-Cybersecurity-Skills? Choose skills over Anthropic-Cybersecurity-Skills when skills is primarily Shell; Anthropic-Cybersecurity-Skills is Python; Tags unique to skills: agent-skills, embeddings, hybrid-search, monitoring; Also covers Vector Databases; Need help with optimizing or expanding your Qdrant deployment beyond millions of vectors. ### 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 skills? Your Qdrant instance is performing well with fewer than a million vectors Looking for help beyond vector search, such as database type selection or general AI agent tasks Seeking advice on non-Qdrant-specific issues like cloud infrastructure setup outside of integration ### Is Anthropic-Cybersecurity-Skills or skills more popular on GitHub? Anthropic-Cybersecurity-Skills has more GitHub stars (27,958 vs 220). Stars measure visibility, not whether either tool fits your constraints. ### Are Anthropic-Cybersecurity-Skills and skills open source? Yes - both are open-source projects on GitHub (Anthropic-Cybersecurity-Skills: Apache-2.0, skills: Apache-2.0). ### Where can I find alternatives to Anthropic-Cybersecurity-Skills or skills? GraphCanon lists graph-backed alternatives at [Anthropic-Cybersecurity-Skills alternatives](/tools/mukul975-anthropic-cybersecurity-skills/alternatives) and [skills alternatives](/tools/qdrant-skills/alternatives) ([Anthropic-Cybersecurity-Skills markdown twin](/tools/mukul975-anthropic-cybersecurity-skills/alternatives.md), [skills markdown twin](/tools/qdrant-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/mukul975-anthropic-cybersecurity-skills-vs-qdrant-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 skills? Anthropic-Cybersecurity-Skills: Active. skills: Very 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 skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Anthropic-Cybersecurity-Skills trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust); [skills trust report](/tools/qdrant-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/_