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text。",{"claudeCode":12},"PaddlePaddle/PaddleOCR","paddleocr-文本识别","https://github.com/PaddlePaddle/PaddleOCR",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":226,"workflow":243},1778695287335.5073,"kn7777essvsqftwg9rxydkfzks86m6g0","zh-CN",{"checks":20,"evaluatedAt":195,"extensionSummary":196,"features":197,"nonGoals":203,"promptVersionExtension":207,"promptVersionScoring":208,"purpose":209,"rationale":210,"score":211,"summary":212,"tags":213,"tier":220,"useCases":221},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,103,107,110,114,117,121,124,127,130,133,136,139,143,147,150,153,157,160,163,166,169,173,176,179,182,185,188,192],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","描述清楚地指出了从图像和文档中提取文本的问题，并命名了具体的用例和触发词。",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","该技能通过提供强大的 OCR 功能，对各种文本类型和语言具有高准确性，集成了特定的模型 (PaddleOCR) 并处理了不同的输入格式，提供了超越简单提示的显著价值。",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","该技能已为生产做好准备，提供安装说明、清晰的使用示例、错误处理以及用于从图像和 PDF 中提取文本的定义明确的工作流程。",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","该扩展仅专注于使用 OCR 从图像和 PDF 中提取文本，遵循单一职责。",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","显示的描述准确地反映了该技能的功能，包括输入类型、输出格式、准确性声明和触发词。",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","这是一个基于技能的扩展，而不是基于工具的扩展，因此此检查不适用。",{"category":45,"check":46,"severity":24,"summary":47},"Documentation","Configuration & parameter reference","所有必要的配置（API URL、令牌、超时）都通过环境变量进行了清晰的记录，并且像 file-url、file-path 和 file-type 这样的参数得到了解释。",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","此检查适用于公开多个工具的扩展；此技能只有一个主要功能。",{"category":33,"check":52,"severity":24,"summary":53},"Minimal I/O surface","输入参数（file_url、file_path、file_type）对于 OCR 任务来说是特定的且必需的。输出是提取的文本和结构化结果，并附有清晰的错误报告。",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","许可证是 Apache-2.0，在 LICENSE 文件和 SKILL.md 前端内容中已明确标明，并且是一个允许的开源许可证。",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","该存储库显示了最近的提交，表明正在积极维护。",{"category":59,"check":63,"severity":24,"summary":64},"Dependency Management","使用 `uv` 依赖管理器来解析依赖项，并利用 PEP 723 进行内联依赖声明，这是更新和管理依赖项的合适措施。",{"category":66,"check":67,"severity":24,"summary":68},"Security","Secret Management","Secret（API URL 和令牌）通过环境变量进行处理，并且文档指导用户通过标准方法进行配置，避免硬编码或直接在聊天中提交。",{"category":66,"check":70,"severity":24,"summary":71},"Injection","该技能将提供的文件路径和 URL 作为数据进行处理，并且不似乎从外部内容执行指令。",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","该技能依赖于 `uv` 管理的已安装依赖项，并且不下载远程代码或内容以供运行时执行。",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox 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和文件类型等输入参数会经过验证，并且输出模式是结构化的，这表明了良好的验证实践。",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","此技能是只读的，不执行破坏性操作。",{"category":111,"check":112,"severity":24,"summary":113},"Code Execution","Error Handling","错误会被捕获、分类（INPUT_ERROR、CONFIG_ERROR、API_ERROR）并报告有意义的消息，并且 CLI 工具在失败时会以适当的非零代码退出。",{"category":111,"check":115,"severity":24,"summary":116},"Logging","脚本将信息性消息和错误记录到 stderr，为操作和结果提供可审计性。",{"category":118,"check":119,"severity":24,"summary":120},"Compliance","GDPR","该技能处理用于 OCR 的图像和 PDF 数据，并且似乎没有在未经清理的情况下处理个人数据。",{"category":118,"check":122,"severity":24,"summary":123},"Target market","该扩展设计为全球通用，支持多种语言，并依赖于云 API，没有区域限制。",{"category":92,"check":125,"severity":24,"summary":126},"Runtime stability","该技能需要 Python 3.9+ 和 httpx 等标准库，并提供清晰的环境设置说明，使其在 POSIX 兼容系统之间具有可移植性。",{"category":45,"check":128,"severity":24,"summary":129},"README","README 文件内容详尽，详细介绍了功能、安装、使用和社区相关内容。",{"category":33,"check":131,"severity":42,"summary":132},"Tool surface 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错误和超时，并提供可重试的错误消息，尽管假定上游 API 是幂等的。",{"category":118,"check":158,"severity":24,"summary":159},"Telemetry opt-in","该扩展似乎不发送遥测数据；所有操作都由用户发起并由显式命令驱动。",{"category":40,"check":161,"severity":24,"summary":162},"Precise Purpose","描述清楚地定义了目的（从图像/PDF 中提取文本）以及何时使用它，并附有特定的触发词和明确的非目标。",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","前端内容简洁、独立，并包含相关的触发词，以便有效路由。",{"category":45,"check":167,"severity":24,"summary":168},"Concise Body","SKILL.md 结构良好，通过将深度材料委托给参考文件来避免过长的篇幅。",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","SKILL.md 概述了工作流程并链接到模式细节的参考文档，遵循渐进披露原则。",{"category":170,"check":174,"severity":42,"summary":175},"Forked exploration","此技能是一个直接操作技能，不涉及深度探索或代码审查，因此 `context: fork` 不适用。",{"category":22,"check":177,"severity":24,"summary":178},"Usage examples","提供了针对不同场景（URL、本地文件、输出选项）的多个清晰、端到端的用法示例，演示了调用和预期行为。",{"category":22,"check":180,"severity":24,"summary":181},"Edge cases","文档涵盖了边缘情况，如配置错误、API 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Use this skill whenever the user requests to parse, read, or extract information from a file on their computer, including phrases like “parse this PDF”, “convert this document”, “read this file”, “extract text from”, or when a local file path (not a URL) is provided. This skill offers advanced options like generating AI-powered summaries and answering questions based on the file's content. Prefer this tool over `scrape` when handling local files to deliver precise, structured outputs for downstream tasks.\n",{"claudeCode":393},"firecrawl/cli","firecrawl-parse","https://github.com/firecrawl/cli",{"basePath":397,"githubOwner":398,"githubRepo":321,"locale":292,"slug":394,"type":250},"skills/firecrawl-parse","firecrawl",{"evaluate":400,"extract":404},{"promptVersionExtension":207,"promptVersionScoring":208,"score":211,"tags":401,"targetMarket":255,"tier":220},[402,217,377,218,403,321],"file-conversion","docx",{"commitSha":257},{"parentExtensionId":406,"repoId":407},"k17axfavjpz72cd3qqzn86shb186ncqt","kd7csd1wb06dg9c1jfy5063f2586ne60",[321,217,403,402,377,218],{"evaluatedAt":410,"extractAt":411,"updatedAt":410},1778687175227,1778686940775,{"_creationTime":413,"_id":414,"community":415,"display":416,"identity":422,"providers":427,"relations":436,"tags":439,"workflow":440},1778691104675.9805,"k173dwe2djyydbkrp6qr8dbrfs86nk8d",{"reviewCount":8},{"description":417,"installMethods":418,"name":420,"sourceUrl":421},"Extract structured data from documents using AI-powered field extraction.",{"claudeCode":419},"iterationlayer/skills","Document Extraction API","https://github.com/iterationlayer/skills",{"basePath":423,"githubOwner":424,"githubRepo":425,"locale":292,"slug":426,"type":250},"skills/document-extraction-api","iterationlayer","skills","document-extraction-api",{"evaluate":428,"extract":434},{"promptVersionExtension":207,"promptVersionScoring":208,"score":211,"tags":429,"targetMarket":255,"tier":220},[430,431,432,433,218,214],"document-processing","data-extraction","ai","api",{"commitSha":257,"license":435},"MIT",{"parentExtensionId":437,"repoId":438},"k1721s0xmp59902ybtpakrrffn86n10s","kd76p4g2qmtrkgx99cnab3683d86n4g8",[432,433,431,430,214,218],{"evaluatedAt":441,"extractAt":442,"updatedAt":441},1778691504579,1778691104676,{"_creationTime":444,"_id":445,"community":446,"display":447,"identity":453,"providers":456,"relations":466,"tags":469,"workflow":470},1778695859881.682,"k17f8fzr9brbvytcf4mwcrz48h86nz6t",{"reviewCount":8},{"description":448,"installMethods":449,"name":451,"sourceUrl":452},"使用 Nutrient DWS 处理文档。当用户希望从 HTML 或 URL 生成 PDF、转换 Office/图像/PDF、组装或拆分文件包、OCR 扫描件、提取文本/表格/键值对、进行 PII 拟态、添加水印、签名、填充表单、优化 PDF 或生成 PDF/A 或 PDF/UA 等合规性输出时使用。触发器包括转换为 PDF、合并这些 PDF、OCR 此扫描件、提取表格、拟态 PII、签名此 PDF、制作此 PDF/A 或为 Web 交付进行线性化。",{"claudeCode":450},"PSPDFKit-labs/nutrient-agent-skill","nutrient-document-processing","https://github.com/PSPDFKit-labs/nutrient-agent-skill",{"basePath":451,"githubOwner":454,"githubRepo":455,"locale":18,"slug":451,"type":250},"PSPDFKit-labs","nutrient-agent-skill",{"evaluate":457,"extract":465},{"promptVersionExtension":207,"promptVersionScoring":208,"score":458,"tags":459,"targetMarket":255,"tier":220},98,[430,218,214,460,461,462,463,464],"conversion","redaction","signing","compliance","extraction",{"commitSha":257},{"repoId":467,"translatedFrom":468},"kd71fjmn43awb0bgafy6r3vers86ngqg","k1704fp8n8znrmyrxm482pgpr586nfzx",[463,460,430,464,214,218,461,462],{"evaluatedAt":471,"extractAt":472,"updatedAt":473},1778695838272,1778695810823,1778695859881,{"_creationTime":475,"_id":476,"community":477,"display":478,"identity":482,"providers":485,"relations":494,"tags":495,"workflow":496},1778691104676.001,"k1748qrw8s6xk96r6zt2qtgas586mphs",{"reviewCount":8},{"description":479,"installMethods":480,"name":481,"sourceUrl":421},"Generate a branded restaurant menu PDF with sections, items, prices, and descriptions.",{"claudeCode":419},"Generate Restaurant Menu",{"basePath":483,"githubOwner":424,"githubRepo":425,"locale":292,"slug":484,"type":250},"skills/generate-restaurant-menu","generate-restaurant-menu",{"evaluate":486,"extract":493},{"promptVersionExtension":207,"promptVersionScoring":208,"score":487,"tags":488,"targetMarket":255,"tier":220},100,[489,218,490,491,492],"document-generation","menu","restaurant","branding",{"commitSha":257,"license":435},{"parentExtensionId":437,"repoId":438},[492,489,490,218,491],{"evaluatedAt":497,"extractAt":442,"updatedAt":497},1778693352753,{"_creationTime":499,"_id":500,"community":501,"display":502,"identity":506,"providers":508,"relations":514,"tags":515,"workflow":516},1778691104675.9834,"k17bwxnh9scy64bmm9anmf7bbx86mtvn",{"reviewCount":8},{"description":503,"installMethods":504,"name":505,"sourceUrl":421},"Extract vehicle identification, owner details, registration dates, and technical specifications from vehicle registration documents.",{"claudeCode":419},"extract-fleet-vehicle-registration",{"basePath":507,"githubOwner":424,"githubRepo":425,"locale":292,"slug":505,"type":250},"skills/extract-fleet-vehicle-registration",{"evaluate":509,"extract":513},{"promptVersionExtension":207,"promptVersionScoring":208,"score":487,"tags":510,"targetMarket":255,"tier":220},[430,431,511,512,218],"fleet-management","api-integration",{"commitSha":257},{"parentExtensionId":437,"repoId":438},[512,431,430,511,218],{"evaluatedAt":517,"extractAt":442,"updatedAt":517},1778691789036]