--- title: "Anthropic-Cybersecurity-Skills vs helm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mukul975-anthropic-cybersecurity-skills-vs-stanford-crfm-helm" tools: ["mukul975-anthropic-cybersecurity-skills", "stanford-crfm-helm"] --- # Anthropic-Cybersecurity-Skills vs helm *GraphCanon updated Jul 12, 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 helm if helm is an open-source Python framework for evaluating foundation models, including LLMs and multimodal models. It emphasizes holistic, reproducible, and transparent evaluation processes. [Anthropic-Cybersecurity-Skills](https://mahipal.engineer/Anthropic-Cybersecurity-Skills/) reports 25k GitHub stars, 3.1k forks, and 35 open issues, last pushed Jun 26, 2026. [helm](https://crfm.stanford.edu/helm) has 2.9k stars, 400 forks, and 84 open issues, last pushed Jul 1, 2026. Figures are from public GitHub metadata via [Anthropic-Cybersecurity-Skills's repository](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) and [helm's repository](https://github.com/stanford-crfm/helm). | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [helm](/tools/stanford-crfm-helm.md) | | --- | --- | --- | | Tagline | 817 structured cybersecurity skills for AI agents | Holistic, reproducible and transparent evaluation of foundation models | | Stars | 25,282 | 2,850 | | Forks | 3,060 | 400 | | Open issues | 35 | 84 | | 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. | Helm is an open-source Python framework for evaluating foundation models, including LLMs and multimodal models. It emphasizes holistic, reproducible, and transparent evaluation processes. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [helm](/tools/stanford-crfm-helm.md) | | --- | --- | --- | | Days since push | 14d | 10d | | Open issues (now) | 35 | 84 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust.md) | [trust report](/tools/stanford-crfm-helm/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: helm - **Adopt for:** Helm is an open-source Python framework for evaluating foundation models, including LLMs and multimodal models. It emphasizes holistic, reproducible, and transparent evaluation processes. ## Choose when ### 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: threat-hunting, cybersecurity, mitre-attack, security. - 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 helm if… - Tags unique to helm: evaluation, language-models, foundation models, framework. - When you need a comprehensive tool to evaluate the performance of large language models (LLMs) and other types of foundation models in a standardized way. - More recently updated (last pushed Jul 1, 2026). ## 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 helm - Helm may not be suitable if you are working with smaller scale projects that do not require extensive, holistic evaluation capabilities associated with foundation models. - If your framework of choice already provides sufficient evaluation tools or processes for foundation models, adding Helm might introduce unnecessary complexity. ## Common questions ### What is the difference between Anthropic-Cybersecurity-Skills and helm? Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. helm: Holistic, reproducible and transparent evaluation of foundation models. See the comparison table for live GitHub stats and shared categories. ### When should I choose Anthropic-Cybersecurity-Skills over helm? Choose Anthropic-Cybersecurity-Skills over helm 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: threat-hunting, cybersecurity, mitre-attack, security; 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 helm over Anthropic-Cybersecurity-Skills? Choose helm over Anthropic-Cybersecurity-Skills when Tags unique to helm: evaluation, language-models, foundation models, framework; When you need a comprehensive tool to evaluate the performance of large language models (LLMs) and other types of foundation models in a standardized way; More recently updated (last pushed Jul 1, 2026). ### 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 helm? Helm may not be suitable if you are working with smaller scale projects that do not require extensive, holistic evaluation capabilities associated with foundation models. If your framework of choice already provides sufficient evaluation tools or processes for foundation models, adding Helm might introduce unnecessary complexity. ### Is Anthropic-Cybersecurity-Skills or helm more popular on GitHub? Anthropic-Cybersecurity-Skills has more GitHub stars (25,282 vs 2,850). Stars measure visibility, not whether either tool fits your constraints. ### Are Anthropic-Cybersecurity-Skills and helm open source? Yes - both are open-source projects on GitHub (Anthropic-Cybersecurity-Skills: Apache-2.0, helm: Apache-2.0). ### Where can I find alternatives to Anthropic-Cybersecurity-Skills or helm? GraphCanon lists graph-backed alternatives at [Anthropic-Cybersecurity-Skills alternatives](/tools/mukul975-anthropic-cybersecurity-skills/alternatives) and [helm alternatives](/tools/stanford-crfm-helm/alternatives) ([Anthropic-Cybersecurity-Skills markdown twin](/tools/mukul975-anthropic-cybersecurity-skills/alternatives.md), [helm markdown twin](/tools/stanford-crfm-helm/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-stanford-crfm-helm.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 helm? Anthropic-Cybersecurity-Skills: Active. helm: 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 helm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Anthropic-Cybersecurity-Skills trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust); [helm trust report](/tools/stanford-crfm-helm/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/_