--- title: "Anthropic-Cybersecurity-Skills vs OpenMetadata" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mukul975-anthropic-cybersecurity-skills-vs-open-metadata-openmetadata" tools: ["mukul975-anthropic-cybersecurity-skills", "open-metadata-openmetadata"] --- # Anthropic-Cybersecurity-Skills vs OpenMetadata *GraphCanon updated Aug 26, 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 OpenMetadata if a tool for data and AI systems to gain trusted context and business semantics through metadata management. [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. [OpenMetadata](https://open-metadata.org) has 15k stars, 2.3k forks, and 856 open issues, last pushed Aug 25, 2026. Figures are from public GitHub metadata via [Anthropic-Cybersecurity-Skills's repository](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) and [OpenMetadata's repository](https://github.com/open-metadata/OpenMetadata). | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [OpenMetadata](/tools/open-metadata-openmetadata.md) | | --- | --- | --- | | Tagline | 817 structured cybersecurity skills for AI agents | Open platform for building trusted data context and business semantics | | Stars | 27,958 | 14,966 | | Forks | 3,401 | 2,334 | | Open issues | 46 | 856 | | Language | Python | TypeScript | | 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. | A tool for data and AI systems to gain trusted context and business semantics through metadata management. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [OpenMetadata](/tools/open-metadata-openmetadata.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 8d | 0d | | Open issues (now) | 46 | 856 | | Stars delta | +2.3k (30d) | +398 (30d) | | Open issues delta | +6 (30d) | -65 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust.md) | [trust report](/tools/open-metadata-openmetadata/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: OpenMetadata - **Adopt for:** A tool for data and AI systems to gain trusted context and business semantics through metadata management. ## Choose when ### Choose Anthropic-Cybersecurity-Skills if… - Anthropic-Cybersecurity-Skills is primarily Python; OpenMetadata is TypeScript. - 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. ### Choose OpenMetadata if… - OpenMetadata is primarily TypeScript; Anthropic-Cybersecurity-Skills is Python. - Tags unique to OpenMetadata: context, context-layer, data-catalog, data-discovery. - Also covers Data & Retrieval. - When a need exists for robust metadata management that supports effective collaboration between humans and AI systems on understanding data context and lineage. ## 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 OpenMetadata - If looking for a more specialized tool that focuses solely on AI model evaluation or training data retrieval without the emphasis on metadata context management. - In scenarios where the ecosystem's requirements favor closed-source solutions over open platforms like OpenMetadata, which may limit certain customization options. ## Common questions ### What is the difference between Anthropic-Cybersecurity-Skills and OpenMetadata? Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. OpenMetadata: Open platform for building trusted data context and business semantics. See the comparison table for live GitHub stats and shared categories. ### When should I choose Anthropic-Cybersecurity-Skills over OpenMetadata? Choose Anthropic-Cybersecurity-Skills over OpenMetadata when Anthropic-Cybersecurity-Skills is primarily Python; OpenMetadata is TypeScript; 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 choose OpenMetadata over Anthropic-Cybersecurity-Skills? Choose OpenMetadata over Anthropic-Cybersecurity-Skills when OpenMetadata is primarily TypeScript; Anthropic-Cybersecurity-Skills is Python; Tags unique to OpenMetadata: context, context-layer, data-catalog, data-discovery; Also covers Data & Retrieval; When a need exists for robust metadata management that supports effective collaboration between humans and AI systems on understanding data context and lineage. ### 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 OpenMetadata? If looking for a more specialized tool that focuses solely on AI model evaluation or training data retrieval without the emphasis on metadata context management. In scenarios where the ecosystem's requirements favor closed-source solutions over open platforms like OpenMetadata, which may limit certain customization options. ### Is Anthropic-Cybersecurity-Skills or OpenMetadata more popular on GitHub? Anthropic-Cybersecurity-Skills has more GitHub stars (27,958 vs 14,966). Stars measure visibility, not whether either tool fits your constraints. ### Are Anthropic-Cybersecurity-Skills and OpenMetadata open source? Yes - both are open-source projects on GitHub (Anthropic-Cybersecurity-Skills: Apache-2.0, OpenMetadata: Apache-2.0). ### Where can I find alternatives to Anthropic-Cybersecurity-Skills or OpenMetadata? GraphCanon lists graph-backed alternatives at [Anthropic-Cybersecurity-Skills alternatives](/tools/mukul975-anthropic-cybersecurity-skills/alternatives) and [OpenMetadata alternatives](/tools/open-metadata-openmetadata/alternatives) ([Anthropic-Cybersecurity-Skills markdown twin](/tools/mukul975-anthropic-cybersecurity-skills/alternatives.md), [OpenMetadata markdown twin](/tools/open-metadata-openmetadata/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-open-metadata-openmetadata.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 OpenMetadata? Anthropic-Cybersecurity-Skills: Active. OpenMetadata: 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 OpenMetadata? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Anthropic-Cybersecurity-Skills trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust); [OpenMetadata trust report](/tools/open-metadata-openmetadata/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/_