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Show HN: Agent-skills-eval – Test whether Agent Skills improve outputs

agent-skills-eval is an open-source test framework built for Anthropic's Agent Skills ecosystem that empirically measures whether agent skills improve AI model task performance. It runs evaluations by comparing model outputs with and without the skill loaded, uses a judge model to grade results, and generates a static HTML report, supporting CLI usage, TypeScript integration, custom model providers like Ollama and vLLM, and CI pipelines.

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First seen
May 7, 2026, 2:12 PM
Last updated
May 8, 2026, 12:35 AM

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Show HN: Agent-skills-eval – Test whether Agent Skills improve outputs is currently shaped by signals from 1 source platforms. This page organizes AI analysis summaries, 1 timeline events, and 8 relationship edges so search engines and AI systems can understand the topic's factual basis and propagation arc.

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AI agent skillsagent evaluation frameworkmodel performance testingAnthropic Agent SkillsHTML reportCLI toolTypeScript SDKCI integrationcustom model providers

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Show HN: Agent-skills-eval – Test whether Agent Skills improve outputs

News · 1
May 7, 2026, 2:12 PMOpen original source

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Show HN: Agent-skills-eval – Test whether Agent Skills improve outputs

May 7, 2026, 2:12 PM

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