--- title: "awesome-claude-skills vs judgeval" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/composiohq-awesome-claude-skills-vs-judgmentlabs-judgeval" tools: ["composiohq-awesome-claude-skills", "judgmentlabs-judgeval"] --- # awesome-claude-skills vs judgeval *GraphCanon updated Jul 12, 2026* ## Verdict Pick awesome-claude-skills if awesome-claude-skills is a curated list that provides resources and tools for customizing workflows using Claude AI; pick judgeval if judgeval is a Python tool that aids in the continuous improvement of AI agents through comprehensive environment data and evaluations, supporting methodologies like reinforcement learning and prompt engineering. [awesome-claude-skills](https://github.com/ComposioHQ/awesome-claude-skills) reports 67k GitHub stars, 7.6k forks, and 974 open issues, last pushed May 22, 2026. [judgeval](https://judgmentlabs.ai/) has 1.0k stars, 93 forks, and 18 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [awesome-claude-skills's repository](https://github.com/ComposioHQ/awesome-claude-skills) and [judgeval's repository](https://github.com/JudgmentLabs/judgeval). | | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | [judgeval](/tools/judgmentlabs-judgeval.md) | | --- | --- | --- | | Tagline | A curated list of awesome Claude Skills for customizing AI workflows | The Continuous-Improvement Stack for Agents | | Stars | 67,447 | 1,040 | | Forks | 7,586 | 93 | | Open issues | 974 | 18 | | Language | Python | Python | | Adopt for | awesome-claude-skills is a curated list that provides resources and tools for customizing workflows using Claude AI. | Judgeval is a Python tool that aids in the continuous improvement of AI agents through comprehensive environment data and evaluations, supporting methodologies like reinforcement learning and prompt engineering. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | AI Agents, Developer Tools | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | [judgeval](/tools/judgmentlabs-judgeval.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 50d | 3d | | Open issues (now) | 974 | 18 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/composiohq-awesome-claude-skills/trust.md) | [trust report](/tools/judgmentlabs-judgeval/trust.md) | ## Decision facts: awesome-claude-skills - **Pricing:** unknown - The repository's license is under Apache 2.0 for the overall content, but individual skills may have varying licensing terms which should be checked individually within their respective folders. - **Adopt for:** awesome-claude-skills is a curated list that provides resources and tools for customizing workflows using Claude AI. ## Decision facts: judgeval - **Adopt for:** Judgeval is a Python tool that aids in the continuous improvement of AI agents through comprehensive environment data and evaluations, supporting methodologies like reinforcement learning and prompt engineering. ## Choose when ### Choose awesome-claude-skills if… - Pricing: The repository's license is under Apache 2.0 for the overall content, but individual skills may have varying licensing terms which should be checked individually within their respective folders.. - Tags unique to awesome-claude-skills: agent-skills, automation, claude-code, composio. - Also covers Developer Tools. - When you are looking to customize and extend the capabilities of Claude AI through various skills and plugins. ### Choose judgeval if… - Tags unique to judgeval: agent, agentic-ai, agents, grpo. - Also covers Evaluation & Observability. - You are working on an AI project where continuous monitoring and enhancement of your agent's performance are critical. ## When NOT to use awesome-claude-skills - Avoid using if your primary focus is on general-purpose automation that doesn't require integration with Claude AI or its ecosystem. - Not recommended if specific automation tasks do not benefit from customization through the provided Claude Skills, or you prefer tools that operate independently without dependency on a particular AI. ## When NOT to use judgeval - If you are looking for a tool focused solely on the theoretical aspects of AI development without practical, continuous improvement methodologies. - You require a solution that only supports evaluation metrics and does not offer integrated environment data support, diverging from Judgeval’s comprehensive approach. ## Common questions ### What is the difference between awesome-claude-skills and judgeval? awesome-claude-skills: A curated list of awesome Claude Skills for customizing AI workflows. judgeval: The Continuous-Improvement Stack for Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-claude-skills over judgeval? Choose awesome-claude-skills over judgeval when Pricing: The repository's license is under Apache 2.0 for the overall content, but individual skills may have varying licensing terms which should be checked individually within their respective folders.; Tags unique to awesome-claude-skills: agent-skills, automation, claude-code, composio; Also covers Developer Tools; When you are looking to customize and extend the capabilities of Claude AI through various skills and plugins. ### When should I choose judgeval over awesome-claude-skills? Choose judgeval over awesome-claude-skills when Tags unique to judgeval: agent, agentic-ai, agents, grpo; Also covers Evaluation & Observability; You are working on an AI project where continuous monitoring and enhancement of your agent's performance are critical. ### When should I avoid awesome-claude-skills? Avoid using if your primary focus is on general-purpose automation that doesn't require integration with Claude AI or its ecosystem. Not recommended if specific automation tasks do not benefit from customization through the provided Claude Skills, or you prefer tools that operate independently without dependency on a particular AI. ### When should I avoid judgeval? If you are looking for a tool focused solely on the theoretical aspects of AI development without practical, continuous improvement methodologies. You require a solution that only supports evaluation metrics and does not offer integrated environment data support, diverging from Judgeval’s comprehensive approach. ### Is awesome-claude-skills or judgeval more popular on GitHub? awesome-claude-skills has more GitHub stars (67,447 vs 1,040). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-claude-skills and judgeval open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-claude-skills or judgeval? GraphCanon lists graph-backed alternatives at [awesome-claude-skills alternatives](/tools/composiohq-awesome-claude-skills/alternatives) and [judgeval alternatives](/tools/judgmentlabs-judgeval/alternatives) ([awesome-claude-skills markdown twin](/tools/composiohq-awesome-claude-skills/alternatives.md), [judgeval markdown twin](/tools/judgmentlabs-judgeval/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/composiohq-awesome-claude-skills-vs-judgmentlabs-judgeval.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-claude-skills or judgeval? awesome-claude-skills: Steady. judgeval: 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 awesome-claude-skills and judgeval? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-claude-skills trust report](/tools/composiohq-awesome-claude-skills/trust); [judgeval trust report](/tools/judgmentlabs-judgeval/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=composiohq-awesome-claude-skills`](/api/graphcanon/graph?tool=composiohq-awesome-claude-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/_