[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-op7418-Youtube-clipper-skill-en":3,"guides-for-op7418-Youtube-clipper-skill":343,"similar-k17erqhba914mr34p99ekswk3n86mex2-en":344},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":261,"isFallback":266,"parentExtension":267,"providers":268,"relations":273,"repo":275,"tags":340,"workflow":341},1778694960571.968,"k17erqhba914mr34p99ekswk3n86mex2",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"YouTube 视频智能剪辑工具。下载视频和字幕，AI 分析生成精细章节（几分钟级别）， 用户选择片段后自动剪辑、翻译字幕为中英双语、烧录字幕到视频，并生成总结文案。 使用场景：当用户需要剪辑 YouTube 视频、生成短视频片段、制作双语字幕版本时。 关键词：视频剪辑、YouTube、字幕翻译、双语字幕、视频下载、clip video\n",{"claudeCode":12},"op7418/Youtube-clipper-skill","YouTube Clipper Skill","https://github.com/op7418/Youtube-clipper-skill",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":244,"workflow":259},1778694982967.0872,"kn78z9889k5w07vy9mmascmz3d86nrk0","zh-CN",{"checks":20,"evaluatedAt":194,"extensionSummary":195,"features":196,"nonGoals":202,"practices":207,"prerequisites":212,"promptVersionExtension":217,"promptVersionScoring":218,"purpose":219,"rationale":220,"score":221,"summary":222,"tags":223,"targetMarket":230,"tier":231,"useCases":232,"workflow":237},[21,26,29,32,36,39,44,48,51,54,58,63,66,70,73,76,79,82,85,88,92,96,101,105,109,112,116,119,123,126,129,132,135,138,141,145,149,152,155,159,162,165,168,171,175,178,181,184,187,191],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly states the problem of intelligently editing YouTube videos, including downloading, AI analysis for chapters, clipping, translation, and summarization, which is relevant and addresses a specific user need.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill's core differentiator is its AI-powered semantic chapter analysis, which generates fine-grained chapters based on content understanding, offering significant value over simple time-based splitting.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The extension covers the complete lifecycle from downloading to output generation, includes detailed error handling, and provides clear installation and usage instructions, making it production-ready.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses on a single, coherent workflow: intelligent YouTube video clipping and processing, without venturing into unrelated domains.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The description accurately reflects the skill's capabilities, including AI chapter generation, subtitle translation, and video clipping, and is well-structured.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This is a skill, not an MCP, so it doesn't expose tools directly. The core logic relies on internal scripts and AI analysis.",{"category":45,"check":46,"severity":24,"summary":47},"Documentation","Configuration & parameter reference","The README.md and SKILL.md provide clear configuration options via environment variables and detail their purpose and defaults.",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","As a skill, it does not expose user-facing tools with names; its actions are invoked through natural language prompts.",{"category":33,"check":52,"severity":24,"summary":53},"Minimal I/O surface","The inputs (YouTube URL, user selections) and outputs (files, summary text) are well-defined and minimal for the task.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The extension is licensed under the MIT License, a permissive open-source license, as indicated by the LICENSE file and README.",{"category":59,"check":60,"severity":61,"summary":62},"Maintenance","Commit recency","warning","The last commit was on January 22, 2026, which is over 3 months ago, suggesting potential staleness.",{"category":59,"check":64,"severity":24,"summary":65},"Dependency Management","Python dependencies are managed via requirements (implied by pip install commands), and system dependencies like yt-dlp and FFmpeg are clearly documented for installation.",{"category":67,"check":68,"severity":42,"summary":69},"Security","Secret Management","The skill does not appear to handle or require user secrets directly; API calls are presumed to be managed by the Claude Code environment.",{"category":67,"check":71,"severity":24,"summary":72},"Injection","The skill processes external data (YouTube URLs, subtitles) and relies on internal scripts. No explicit instructions suggest treating external data as executable code.",{"category":67,"check":74,"severity":24,"summary":75},"Transitive Supply-Chain Grenades","All dependencies (yt-dlp, FFmpeg, Python libraries) are explicitly installable via standard package managers and are not fetched dynamically at runtime as code.",{"category":67,"check":77,"severity":24,"summary":78},"Sandbox Isolation","The scripts operate within expected scopes (e.g., creating output files in specified directories) and do not attempt to modify system files outside the project or user's designated output area.",{"category":67,"check":80,"severity":24,"summary":81},"Sandbox escape primitives","No evidence of detached process spawns or retry loops around denied tool calls was found in the provided scripts.",{"category":67,"check":83,"severity":24,"summary":84},"Data Exfiltration","The skill's primary function is processing video content; there are no documented outbound calls for telemetry or submitting confidential data to third parties.",{"category":67,"check":86,"severity":24,"summary":87},"Hidden Text Tricks","The bundled markdown and script files do not contain hidden text, invisible characters, or other tricks designed to mislead the model.",{"category":89,"check":90,"severity":24,"summary":91},"Hooks","Opaque code execution","The Python scripts are provided as clear, readable source code without obfuscation, base64 payloads, or runtime code fetching.",{"category":93,"check":94,"severity":24,"summary":95},"Portability","Structural Assumption","The skill assumes standard project structures for Python scripts and FFmpeg/yt-dlp installation, which are well-documented and handled gracefully.",{"category":97,"check":98,"severity":99,"summary":100},"Trust","Issues Attention","info","There were 1 open issue and 0 closed issues in the last 90 days, indicating low recent activity but no significant backlog.",{"category":102,"check":103,"severity":24,"summary":104},"Versioning","Release Management","A version number ('v1.0.0') is present in `__init__.py`, and the `pushedAt` date indicates recent updates, though no formal release tags or CHANGELOG are present.",{"category":106,"check":107,"severity":24,"summary":108},"Execution","Validation","Input validation is present for URLs and time formats. Python scripts handle potential errors from subprocess calls and file operations.",{"category":67,"check":110,"severity":24,"summary":111},"Unguarded Destructive Operations","The skill is primarily focused on file creation and modification (downloading, clipping, writing files) which are not inherently destructive operations requiring confirmation gates.",{"category":113,"check":114,"severity":24,"summary":115},"Code Execution","Error Handling","The Python scripts include comprehensive error handling with informative messages, type checking, and clear installation guides for missing dependencies or tools.",{"category":113,"check":117,"severity":24,"summary":118},"Logging","The scripts provide informative console output for each step, including progress, success messages, and detailed error reporting when issues occur.",{"category":120,"check":121,"severity":24,"summary":122},"Compliance","GDPR","The skill processes YouTube video content and subtitles, which may indirectly contain personal data, but it does not submit this data to third parties or require user PII beyond the video URL.",{"category":120,"check":124,"severity":24,"summary":125},"Target market","The skill is language-agnostic for video content and primarily relies on YouTube URLs and standard tools, making it globally applicable.",{"category":93,"check":127,"severity":24,"summary":128},"Runtime stability","The skill relies on common system dependencies (Python, yt-dlp, FFmpeg) with clear installation instructions, ensuring cross-platform compatibility.",{"category":45,"check":130,"severity":24,"summary":131},"README","The README provides a comprehensive overview, installation instructions, usage examples, and configuration details.",{"category":33,"check":133,"severity":42,"summary":134},"Tool surface size","As a skill, it does not expose tools in the same way as an MCP or CLI; its functionality is invoked via natural language.",{"category":40,"check":136,"severity":42,"summary":137},"Overlapping near-synonym tools","This is a skill and does not expose multiple distinct tools with overlapping functionality.",{"category":45,"check":139,"severity":24,"summary":140},"Phantom features","All advertised features (AI chapter analysis, translation, clipping, summarization) are implemented and demonstrated in the documentation and scripts.",{"category":142,"check":143,"severity":24,"summary":144},"Install","Installation instruction","Clear installation instructions are provided for both `npx skills add` and manual installation, including system and Python dependency management.",{"category":146,"check":147,"severity":24,"summary":148},"Errors","Actionable error messages","Errors provide specific root causes (e.g., missing dependencies, FFmpeg issues) and actionable remediation steps (e.g., installation commands).",{"category":106,"check":150,"severity":24,"summary":151},"Pinned dependencies","Python dependencies are installable via pip, and system dependencies like FFmpeg and yt-dlp are recommended to be installed via package managers, implying version pinning.",{"category":33,"check":153,"severity":42,"summary":154},"Dry-run preview","The skill's operations are file creation and processing; a 'dry-run' is not applicable as the outcome is primarily the generated files.",{"category":156,"check":157,"severity":24,"summary":158},"Protocol","Idempotent retry & timeouts","The core operations involve file processing and external tool calls which are generally handled with error checking and retries where appropriate (e.g., translation), and FFmpeg commands have implicit timeouts.",{"category":120,"check":160,"severity":24,"summary":161},"Telemetry opt-in","There is no indication of telemetry being collected; the skill focuses on local processing and output generation.",{"category":40,"check":163,"severity":24,"summary":164},"Precise Purpose","The purpose is precisely defined: intelligently editing YouTube videos by downloading, AI analysis, clipping, translation, and summarization, with clear use cases and boundaries.",{"category":40,"check":166,"severity":24,"summary":167},"Concise Frontmatter","The frontmatter in SKILL.md is concise and effectively summarizes the core capability and keywords for routing.",{"category":45,"check":169,"severity":24,"summary":170},"Concise Body","SKILL.md is well-structured with clear sections and delegates deeper technical details to separate files like TECHNICAL_NOTES.md.",{"category":172,"check":173,"severity":24,"summary":174},"Context","Progressive Disclosure","The skill's SKILL.md outlines the workflow and links to technical notes and guides in the `references/` directory for detailed explanations.",{"category":172,"check":176,"severity":42,"summary":177},"Forked exploration","The skill does not involve extensive exploration or deep code review that would require forked context.",{"category":22,"check":179,"severity":24,"summary":180},"Usage examples","The README provides clear usage examples for both Claude Code interaction and command-line invocation, demonstrating input and expected output.",{"category":22,"check":182,"severity":24,"summary":183},"Edge cases","The documentation and scripts address edge cases such as missing FFmpeg libass support, path-related issues, invalid URLs, and potential subtitle format problems.",{"category":113,"check":185,"severity":42,"summary":186},"Tool Fallback","This skill does not rely on external MCP servers or tools that require fallback mechanisms; it uses local scripts and common system executables.",{"category":188,"check":189,"severity":24,"summary":190},"Safety","Halt on unexpected state","The scripts include checks for environment readiness (FFmpeg, yt-dlp, Python dependencies) and halt execution with informative error messages if prerequisites are not met.",{"category":93,"check":192,"severity":24,"summary":193},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills; its functionality is invoked via natural language prompts or direct script execution.",1778694982851,"This skill downloads YouTube videos and subtitles, uses AI to analyze content and generate detailed chapters, allows users to select segments, automatically clips them, translates subtitles to bilingual format, burns subtitles into videos, and generates summary copy.",[197,198,199,200,201],"AI-powered semantic chapter generation (2-5 min granularity)","Precise video clipping with FFmpeg","Bilingual subtitle translation and generation (EN/ZH)","Subtitle burning into video with customizable styles","Automated social media content summarization (Xiaohongshu, Douyin, WeChat)",[203,204,205,206],"Editing videos beyond segment clipping","Translating video audio content directly","Creating video thumbnails or cover art","Live streaming or real-time video processing",[208,209,210,211],"AI analysis","Video processing","Subtitle management","Content repurposing",[213,214,215,216],"Python 3.8+","yt-dlp (latest)","FFmpeg with libass support (ffmpeg-full on macOS)","Claude Code environment","3.0.0","4.4.0","To efficiently extract and repurpose content from long YouTube videos by leveraging AI for intelligent chaptering and automated editing tasks.","The extension is highly production-ready with a well-defined purpose, clear documentation, and robust error handling. A minor warning for commit recency prevents a perfect score.",95,"An excellent AI-powered tool for intelligently editing YouTube videos, offering advanced features for chapter generation, translation, and summarization.",[224,225,226,227,228,229],"video-editing","youtube","subtitles","translation","ai","content-creation","global","community",[233,234,235,236],"Creating short video clips from interviews or lectures","Generating bilingual subtitle versions of YouTube videos","Repurposing long-form video content for social media platforms","Quickly extracting key information segments from educational or informational videos",[238,239,240,241,242,243],"Environment Check","Download Video and Subtitles","AI Chapter Analysis","User Selection","Clip Video, Translate Subtitles, Burn Subtitles, Generate Summary","Output Results",{"codeQuality":245,"collectedAt":247,"documentation":248,"maintenance":251,"security":256,"testCoverage":258},{"hasLockfile":246},false,1778694962289,{"descriptionLength":249,"readmeSize":250},170,8596,{"closedIssues90d":8,"forks":252,"hasChangelog":246,"openIssues90d":253,"pushedAt":254,"stars":255},278,1,1769057781000,1837,{"hasNpmPackage":246,"license":257,"smitheryVerified":246},"MIT",{"hasCi":246,"hasTests":246},{"updatedAt":260},1778694982967,{"basePath":262,"githubOwner":263,"githubRepo":264,"locale":18,"slug":264,"type":265},"","op7418","Youtube-clipper-skill","skill",true,null,{"evaluate":269,"extract":271},{"promptVersionExtension":217,"promptVersionScoring":218,"score":221,"tags":270,"targetMarket":230,"tier":231},[224,225,226,227,228,229],{"commitSha":272,"license":257},"HEAD",{"repoId":274},"kd70be7kmm0yjgk0da31a534fx86n06d",{"_creationTime":276,"_id":274,"identity":277,"providers":278,"workflow":336},1778694956906.0103,{"githubOwner":263,"githubRepo":264,"sourceUrl":14},{"classify":279,"discover":331,"github":334},{"commitSha":272,"extensions":280},[281],{"basePath":262,"description":10,"displayName":282,"installMethods":283,"rationale":284,"selectedPaths":285,"source":330,"sourceLanguage":18,"type":265},"youtube-clipper",{"claudeCode":12},"SKILL.md frontmatter at SKILL.md",[286,289,292,294,297,299,301,303,305,307,310,312,314,316,318,320,322,324,326,328],{"path":287,"priority":288},"SKILL.md","mandatory",{"path":290,"priority":291},"README.md","high",{"path":293,"priority":291},"LICENSE",{"path":295,"priority":296},"FIXES_AND_IMPROVEMENTS.md","medium",{"path":298,"priority":296},"README.zh-CN.md",{"path":300,"priority":296},"TECHNICAL_NOTES.md",{"path":302,"priority":296},"references/ffmpeg-guide.md",{"path":304,"priority":296},"references/subtitle-formatting.md",{"path":306,"priority":296},"references/yt-dlp-guide.md",{"path":308,"priority":309},"scripts/__init__.py","low",{"path":311,"priority":309},"scripts/analyze_subtitles.py",{"path":313,"priority":309},"scripts/burn_subtitles.py",{"path":315,"priority":309},"scripts/clip_video.py",{"path":317,"priority":309},"scripts/download_video.py",{"path":319,"priority":309},"scripts/extract_subtitle_clip.py",{"path":321,"priority":309},"scripts/generate_summary.py",{"path":323,"priority":309},"scripts/merge_bilingual_subtitles.py",{"path":325,"priority":309},"scripts/translate_subtitles.py",{"path":327,"priority":309},"scripts/utils.py",{"path":329,"priority":309},"templates/summary-template.md","rule",{"sources":332},[333],"manual",{"closedIssues90d":8,"description":262,"forks":252,"license":257,"openIssues90d":253,"pushedAt":254,"readmeSize":250,"stars":255,"topics":335},[],{"classifiedAt":337,"discoverAt":338,"extractAt":339,"githubAt":339,"updatedAt":337},1778694960396,1778694956906,1778694958649,[228,229,226,227,224,225],{"evaluatedAt":260,"extractAt":342,"updatedAt":260},1778694960572,[],[345,378,407,435,464,495],{"_creationTime":346,"_id":347,"community":348,"display":349,"identity":355,"providers":361,"relations":372,"tags":374,"workflow":375},1778691705439.1692,"k17bv0m8vrr9v6c2fn856zw6ph86m1jg",{"reviewCount":8},{"description":350,"installMethods":351,"name":353,"sourceUrl":354},"When the user wants to create developer YouTube content, technical screencasts, or video tutorials. Trigger phrases include \"YouTube,\" \"developer video,\" \"screencast,\" \"video tutorial,\" \"live coding,\" \"YouTube for developers,\" \"tech YouTube,\" or \"YouTube thumbnails.\"",{"claudeCode":352},"jonathimer/devmarketing-skills","YouTube for Developer Relations","https://github.com/jonathimer/devmarketing-skills",{"basePath":356,"githubOwner":357,"githubRepo":358,"locale":359,"slug":360,"type":265},"skills/youtube-devrel","jonathimer","devmarketing-skills","en","youtube-devrel",{"evaluate":362,"extract":371},{"promptVersionExtension":217,"promptVersionScoring":218,"score":363,"tags":364,"targetMarket":230,"tier":370},99,[225,365,366,229,367,368,369],"screencast","tutorial","developer-relations","seo","video-production","verified",{"commitSha":272,"license":257},{"repoId":373},"kd74f65yh7zvhb9s83jpzx33cd86nd64",[229,367,365,368,366,369,225],{"evaluatedAt":376,"extractAt":377,"updatedAt":376},1778692600438,1778691705439,{"_creationTime":379,"_id":380,"community":381,"display":382,"identity":388,"providers":392,"relations":400,"tags":403,"workflow":404},1778691497595.971,"k17d4j045r8r2rmskvshf0dycx86nhsb",{"reviewCount":8},{"description":383,"installMethods":384,"name":386,"sourceUrl":387},"Downloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to \"get YouTube transcript\", \"download subtitles\", \"get captions\", \"YouTube字幕\", \"YouTube封面\", \"视频封面\", \"video thumbnail\", \"video cover image\", or provides a YouTube URL and wants the transcript/subtitle text or cover image extracted.",{"claudeCode":385},"jimliu/baoyu-skills","baoyu-youtube-transcript","https://github.com/jimliu/baoyu-skills",{"basePath":389,"githubOwner":390,"githubRepo":391,"locale":359,"slug":386,"type":265},"skills/baoyu-youtube-transcript","jimliu","baoyu-skills",{"evaluate":393,"extract":399},{"promptVersionExtension":217,"promptVersionScoring":218,"score":363,"tags":394,"targetMarket":230,"tier":370},[225,395,226,396,397,398],"transcript","video","download","metadata",{"commitSha":272,"license":257},{"parentExtensionId":401,"repoId":402},"k172q4hxm2acmg5ree5aeemx1x86m6hx","kd718jn448p61w289hzf15tecd86n3a4",[397,398,226,395,396,225],{"evaluatedAt":405,"extractAt":406,"updatedAt":405},1778692048529,1778691497596,{"_creationTime":408,"_id":409,"community":410,"display":411,"identity":417,"providers":421,"relations":429,"tags":431,"workflow":432},1778688417731.9595,"k170dqz8g6nn0gs4rf7azc324x86nj9d",{"reviewCount":8},{"description":412,"installMethods":413,"name":415,"sourceUrl":416},"AI-powered video captioning — transcribe speech, optimize/translate subtitles, and burn them into video via the stable VideoCaptioner backend. Free ASR and translation included.",{"claudeCode":414},"hkuds/cli-anything","cli-anything-videocaptioner","https://github.com/hkuds/cli-anything",{"basePath":418,"githubOwner":419,"githubRepo":420,"locale":359,"slug":415,"type":265},"skills/cli-anything-videocaptioner","hkuds","cli-anything",{"evaluate":422,"extract":428},{"promptVersionExtension":217,"promptVersionScoring":218,"score":363,"tags":423,"targetMarket":230,"tier":370},[396,424,226,425,227,426,427],"captioning","transcription","cli","ffmpeg",{"commitSha":272},{"repoId":430},"kd7e2bra4ymb6r521a25r6yges86n35p",[424,426,427,226,425,227,396],{"evaluatedAt":433,"extractAt":434,"updatedAt":433},1778689899246,1778688417732,{"_creationTime":436,"_id":437,"community":438,"display":439,"identity":445,"providers":449,"relations":457,"tags":459,"workflow":460},1778693117367.673,"k173eqz6w6q0p3bq9jer378n4s86mz64",{"reviewCount":8},{"description":440,"installMethods":441,"name":443,"sourceUrl":444},"Download YouTube video transcripts when user provides a YouTube URL or asks to download/get/fetch a transcript from YouTube. Also use when user wants to transcribe or get captions/subtitles from a YouTube video.",{"claudeCode":442},"michalparkola/tapestry-skills","YouTube Transcript Downloader","https://github.com/michalparkola/tapestry-skills",{"basePath":446,"githubOwner":447,"githubRepo":448,"locale":359,"slug":446,"type":265},"youtube-transcript","michalparkola","tapestry-skills",{"evaluate":450,"extract":456},{"promptVersionExtension":217,"promptVersionScoring":218,"score":451,"tags":452,"targetMarket":230,"tier":370},98,[225,395,226,453,454,455],"captions","yt-dlp","whisper",{"commitSha":272,"license":257},{"repoId":458},"kd756xcq3wg5xktj01tkneamc586nq8z",[453,226,395,455,225,454],{"evaluatedAt":461,"extractAt":462,"updatedAt":463},1778693311008,1778693117367,1778693317156,{"_creationTime":465,"_id":466,"community":467,"display":468,"identity":474,"providers":479,"relations":488,"tags":491,"workflow":492},1778696691708.3274,"k170az7r02e9e2v47mpy80kx6n86nff3",{"reviewCount":8},{"description":469,"installMethods":470,"name":472,"sourceUrl":473},"Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy",{"claudeCode":471},"ruvnet/ruflo","Trader Regime","https://github.com/ruvnet/ruflo",{"basePath":475,"githubOwner":476,"githubRepo":477,"locale":359,"slug":478,"type":265},"plugins/ruflo-neural-trader/skills/trader-regime","ruvnet","ruflo","trader-regime",{"evaluate":480,"extract":487},{"promptVersionExtension":217,"promptVersionScoring":218,"score":481,"tags":482,"targetMarket":230,"tier":370},100,[483,484,485,228,486,426],"finance","trading","market-analysis","typescript",{"commitSha":272,"license":257},{"parentExtensionId":489,"repoId":490},"k17drge8h1fgzchr0p4jaeg33n86mwmy","kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[228,426,483,485,484,486],{"evaluatedAt":493,"extractAt":494,"updatedAt":493},1778701108877,1778696691708,{"_creationTime":496,"_id":497,"community":498,"display":499,"identity":505,"providers":509,"relations":515,"tags":518,"workflow":519},1778693539593.1863,"k173a67a16bpq0e29wjd85v71986nx03",{"reviewCount":8},{"description":500,"installMethods":501,"name":503,"sourceUrl":504},"Domain knowledge for AI trading memory — Outcome-Weighted Memory (OWM) architecture, 5 memory types, recall scoring, and behavioral analysis. Use when recording trades, recalling similar contexts, analyzing performance, or checking behavioral drift. Triggers on \"record trade\", \"remember trade\", \"recall\", \"similar trades\", \"performance\", \"behavioral\", \"disposition\", \"affective state\", \"confidence\".",{"claudeCode":502},"mnemox-ai/tradememory-protocol","trading-memory","https://github.com/mnemox-ai/tradememory-protocol",{"basePath":506,"githubOwner":507,"githubRepo":508,"locale":359,"slug":503,"type":265},"tradememory-plugin/skills/trading-memory","mnemox-ai","tradememory-protocol",{"evaluate":510,"extract":514},{"promptVersionExtension":217,"promptVersionScoring":218,"score":481,"tags":511,"targetMarket":230,"tier":370},[484,228,512,483,513],"memory","python",{"commitSha":272},{"parentExtensionId":516,"repoId":517},"k170vxkqee48k2xq1v55a025nh86nzn7","kd73z11kfekksxyrs8ds0snacs86ncdy",[228,483,512,513,484],{"evaluatedAt":520,"extractAt":521,"updatedAt":522},1778693719816,1778693539593,1778693833320]