[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CBSDE3HJSST90PVZ7JGAAW":3,"skill-same:01M6CBSDE3HJSST90PVZ7JGAAW":80},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":14,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":53,"ownerDescription":54,"updatedAt":55,"install":56,"resources":69},"01M6CBSDE3HJSST90PVZ7JGAAW","agent-evaluation",null,"Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.","Gabriellmaia01\u002Fneuro-dose-assist","Gabriellmaia01","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F135177180?v=4","01M6CBRZEZC8G5C400AG3SPFNH","Gabriel","01M6CBRZK8MB7DWW0B4C82TV2G",0,"MIT","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fagent-evaluation\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"agent evaluation","Evaluation","testing","test","benchmarking","assessment","benchmark","apache","metrics","monitoring","Production","llm agents","use","reliability","behavioral","2026-11-10 10:12:30",false,"---\nname: agent-evaluation\ndescription: \"Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.\"\nsource: vibeship-spawner-skills (Apache 2.0)\n---\n\n# Agent Evaluation\n\nYou're a quality engineer who has seen agents that aced benchmarks fail spectacularly in\nproduction. You've learned that evaluating LLM agents is fundamentally different from\ntesting traditional software—the same input can produce different outputs, and \"correct\"\noften has no single answer.\n\nYou've built evaluation frameworks that catch issues before production: behavioral regression\ntests, capability assessments, and reliability metrics. You understand that the goal isn't\n100% test pass rate—it\n\n## Capabilities\n\n- agent-testing\n- benchmark-design\n- capability-assessment\n- reliability-metrics\n- regression-testing\n\n## Requirements\n\n- testing-fundamentals\n- llm-fundamentals\n\n## Patterns\n\n### Statistical Test Evaluation\n\nRun tests multiple times and analyze result distributions\n\n### Behavioral Contract Testing\n\nDefine and test agent behavioral invariants\n\n### Adversarial Testing\n\nActively try to break agent behavior\n\n## Anti-Patterns\n\n### ❌ Single-Run Testing\n\n### ❌ Only Happy Path Tests\n\n### ❌ Output String Matching\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Agent scores well on benchmarks but fails in production | high | \u002F\u002F Bridge benchmark and production evaluation |\n| Same test passes sometimes, fails other times | high | \u002F\u002F Handle flaky tests in LLM agent evaluation |\n| Agent optimized for metric, not actual task | medium | \u002F\u002F Multi-dimensional evaluation to prevent gaming |\n| Test data accidentally used in training or prompts | critical | \u002F\u002F Prevent data leakage in agent evaluation |\n\n## Related Skills\n\nWorks well with: `multi-agent-orchestration`, `agent-communication`, `autonomous-agents`\n","# Agent Evaluation\n\nYou're a quality engineer who has seen agents that aced benchmarks fail spectacularly in\nproduction. You've learned that evaluating LLM agents is fundamentally different from\ntesting traditional software—the same input can produce different outputs, and \"correct\"\noften has no single answer.\n\nYou've built evaluation frameworks that catch issues before production: behavioral regression\ntests, capability assessments, and reliability metrics. You understand that the goal isn't\n100% test pass rate—it\n\n## Capabilities\n\n- agent-testing\n- benchmark-design\n- capability-assessment\n- reliability-metrics\n- regression-testing\n\n## Requirements\n\n- testing-fundamentals\n- llm-fundamentals\n\n## Patterns\n\n### Statistical Test Evaluation\n\nRun tests multiple times and analyze result distributions\n\n### Behavioral Contract Testing\n\nDefine and test agent behavioral invariants\n\n### Adversarial Testing\n\nActively try to break agent behavior\n\n## Anti-Patterns\n\n### ❌ Single-Run Testing\n\n### ❌ Only Happy Path Tests\n\n### ❌ Output String Matching\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Agent scores well on benchmarks but fails in production | high | \u002F\u002F Bridge benchmark and production evaluation |\n| Same test passes sometimes, fails other times | high | \u002F\u002F Handle flaky tests in LLM agent evaluation |\n| Agent optimized for metric, not actual task | medium | \u002F\u002F Multi-dimensional evaluation to prevent gaming |\n| Test data accidentally used in training or prompts | critical | \u002F\u002F Prevent data leakage in agent evaluation |\n\n## Related Skills\n\nWorks well with: `multi-agent-orchestration`, `agent-communication`, `autonomous-agents`\n",{"name":5,"source":47,"description":7},"vibeship-spawner-skills (Apache 2.0)","main","eac60cc6e0b6baa2a05a765a851fb10638f4e733",".agent\u002Fskills\u002Fskills\u002Fagent-evaluation","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist","https:\u002F\u002Fgithub.com\u002FGabriellmaia01","https:\u002F\u002Fportfolio-bice-theta-81.vercel.app\u002F","💻 Desenvolvimento De Software_\r\n\r\n⚙️ Engenharia De Software\r\n","2026-11-10 08:31:19",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add Gabriellmaia01\u002Fneuro-dose-assist --skill agent-evaluation",{"tool":62,"command":63},"bunx","bunx skills add Gabriellmaia01\u002Fneuro-dose-assist --skill agent-evaluation",{"tool":65,"command":66},"pnpm","pnpm dlx skills add Gabriellmaia01\u002Fneuro-dose-assist --skill agent-evaluation","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fagent-evaluation\u002FSKILL.md",true,[70,76],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"SOURCE.md","REFERENCE","参考文档",203,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fdefi\u002Fconvex-finance-agent\u002FSOURCE.md",{"path":77,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":78,"sourceHtmlUrl":79},"TRUST.auto.yaml",2217,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fdefi\u002Fconvex-finance-agent\u002FTRUST.auto.yaml",[81,101,127,147,158,178],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":88,"publishedAt":42},"01M6CCFWA9JJ23708FSKK1QNBW","zapier-make-patterns","No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points.  This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fzapier-make-patterns\u002FSKILL.md",[87],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[89,90,91,92,93,34,94,95,96,97,39,98,99,100],"zapier make patterns","writing","workflow","automation","code","how","automate","integrations","business","simplicity","power","complexity",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":111,"publishedAt":42},"01M6CCFSBPM49S618W7G4NHH13","Cross-Site Scripting and HTML Injection Testing","This skill should be used when the user asks to \"test for XSS vulnerabilities\", \"perform cross-site scripting attacks\", \"identify HTML injection flaws\", \"exploit client-side injection vulnerabilities\", \"steal cookies via XSS\", or \"bypass content security policies\". It provides comprehensive techniques for detecting, exploiting, and understanding XSS and HTML injection attack vectors in web applications.","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fxss-html-injection\u002FSKILL.md",[107,108],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[112,113,114,115,116,29,117,118,119,120,121,122,123,30,124,125,126],"injection","scripting","html","site","Cross Site Scripting and HTML Injection Testing","html injection testing","cookies","applications","xss","exploit","content","web","vulnerabilities","user","security",{"skillNo":128,"name":129,"nameZh":6,"description":130,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":131,"categories":132,"keywords":142,"publishedAt":42},"01M6CCFJ9XTPXHTE4JR06WY475","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fwriting-skills\u002FSKILL.md",[133,134,137],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":135,"categoryName":136,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":138,"categoryName":139,"taxonomyType":140,"taxonomyTypeDesc":141},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[90,143,144,145,146,39],"writing skills","deployment","work","editing",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":155,"publishedAt":42},"01M6CCFG98EMZZ43D1CPZZZ54E","writing-plans","Use when you have a spec or requirements for a multi-step task, before touching code","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fwriting-plans\u002FSKILL.md",[153,154],{"categoryNo":135,"categoryName":136,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":138,"categoryName":139,"taxonomyType":140,"taxonomyTypeDesc":141},[90,156,157,93,39],"writing plans","spec",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":165,"publishedAt":42},"01M6CCFDPACVC9ZM8TN63MGBP5","workflow-automation","Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.  This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.  Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fworkflow-automation\u002FSKILL.md",[164],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[166,92,91,167,168,169,170,171,34,172,37,173,174,175,176,177],"Workflow Automation","network","ai agents","accessibility","workflows","infrastructure","flow","execution","inngest","parallel","orchestrator","resume",{"skillNo":179,"name":180,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":185,"publishedAt":42},"01M6CCFB0KAB0PPNV38XQPX6YX","WordPress Penetration Testing","This skill should be used when the user asks to \"pentest WordPress sites\", \"scan WordPress for vulnerabilities\", \"enumerate WordPress users, themes, or plugins\", \"exploit WordPress vulnerabilities\", or \"use WPScan\". It provides comprehensive WordPress security assessment methodologies.","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fwordpress-penetration-testing\u002FSKILL.md",[184],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[29,180,186,187,126,124,32,188,125,39,121,189,190],"penetration testing","wordpress","plugins","pentest","security assessment"]