[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-iamzhihuix-happy-dreamina-it":3,"guides-for-iamzhihuix-happy-dreamina":279,"similar-k176c18bj1xnz11za3vwckfwn1866eqw":280},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":21,"identity":189,"isFallback":194,"parentExtension":195,"providers":257,"relations":260,"repo":261,"workflow":278},1778053197391.383,"k176c18bj1xnz11za3vwckfwn1866eqw",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"ByteDance Jimeng (Dreamina) image and video generation via the official `dreamina` CLI. Use this skill whenever the user mentions 即梦, Dreamina, Jimeng, or asks to generate images or videos specifically through ByteDance's Jimeng service. Covers text2image, image2image, text2video, image2video, plus async task query and task-history browsing via list_task. Trigger this skill instead of happy-image-gen or happy-video-gen whenever the user explicitly names 即梦 or dreamina — it uses browser-based login (`dreamina login`) rather than API keys and has access to Jimeng-exclusive models. Common phrases include \"用即梦画张...\", \"Jimeng generate a video of...\", \"Dreamina 文生视频\", \"用 dreamina CLI 做图\", \"查下我即梦的历史任务\".",{},"Happy Dreamina","https://github.com/iamzhihuix/happy-claude-skills/tree/HEAD/skills/happy-dreamina",[15,16,17,18,19,20],"image-generation","video-generation","cli","bytedance","jimeng","dreamina",{"_creationTime":22,"_id":23,"extensionId":5,"locale":24,"result":25,"trustSignals":178,"workflow":187},1778053284450.3147,"kn70bxd4c89zp01bbzarv5acqs866dvm","en",{"checks":26,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[27,32,35,38,42,45,49,53,56,59,63,68,71,75,78,81,84,87,90,93,97,101,105,109,113,116,119,122,127,130,133,136,139,142,146,149,152,155,158,161,165],{"category":28,"check":29,"severity":30,"summary":31},"Practical Utility","Problem relevance","pass","The description clearly states the problem: generating images and videos via ByteDance's Jimeng CLI, and specifies when to use this skill over others, focusing on users who explicitly mention '即梦', 'Dreamina', or 'Jimeng'.",{"category":28,"check":33,"severity":30,"summary":34},"Unique selling proposition","This skill offers a unique value proposition by providing access to Jimeng-exclusive models and using browser-based login, differentiating it from other image/video generation skills that rely on API keys or support multiple providers.",{"category":28,"check":36,"severity":30,"summary":37},"Production readiness","The skill covers the complete lifecycle, from preflight checks (binary installation, login status) to parameter filling, submission, and async result handling, indicating readiness for real-world use.",{"category":39,"check":40,"severity":30,"summary":41},"Scope","Single responsibility principle","The skill is tightly focused on interacting with the ByteDance Jimeng CLI for image and video generation, with clear instructions on when to invoke it and when to defer to other skills.",{"category":39,"check":43,"severity":30,"summary":44},"Description quality","The description is accurate, concise, readable, and accurately reflects the skill's behavior, including specific trigger phrases and invocation scenarios.",{"category":46,"check":47,"severity":30,"summary":48},"Invocation","Scoped tools","The skill maps user intents to specific, narrow `dreamina` subcommands like `text2image`, `image2image`, `text2video`, etc., adhering to the verb-noun specialist pattern.",{"category":50,"check":51,"severity":30,"summary":52},"Documentation","Configuration & parameter reference","All relevant parameters for `dreamina` subcommands are documented in `SKILL.md` and detailed in `references/cli-commands.md`, including defaults and recommended poll intervals. The installation and login process is also clearly outlined.",{"category":39,"check":54,"severity":30,"summary":55},"Tool naming","The skill correctly identifies and uses the `dreamina` CLI subcommands, which are descriptive and follow a consistent verb-noun pattern.",{"category":39,"check":57,"severity":30,"summary":58},"Minimal I/O surface","The skill's parameters are clearly defined and map directly to `dreamina` CLI flags, requesting only necessary data. Output is expected to be JSON or file paths, aligning with the CLI's behavior.",{"category":60,"check":61,"severity":30,"summary":62},"License","License usability","The repository includes a MIT license file, which is a permissive open-source license.",{"category":64,"check":65,"severity":66,"summary":67},"Maintenance","Commit recency","not_applicable","No commit history is available for this specific file or its parent directory within the provided context.",{"category":64,"check":69,"severity":66,"summary":70},"Dependency Management","The skill is a pure instruction layer wrapping an existing CLI tool and does not introduce any third-party dependencies within its own bundle.",{"category":72,"check":73,"severity":30,"summary":74},"Security","Secret Management","The skill instructs users to use `dreamina login` which handles credentials in `~/.dreamina_cli/credential.json` and does not expose secrets directly. The skill itself does not handle or store secrets.",{"category":72,"check":76,"severity":30,"summary":77},"Injection","The skill wraps `dreamina` CLI commands. Input parameters like prompts are double-quoted, mitigating shell injection risks. External content is not loaded or executed.",{"category":72,"check":79,"severity":30,"summary":80},"Transitive Supply-Chain Grenades","The skill relies on the pre-installed `dreamina` CLI and its installer script, which is fetched via `curl`. The skill itself does not fetch or execute arbitrary remote code.",{"category":72,"check":82,"severity":30,"summary":83},"Sandbox Isolation","The skill executes the `dreamina` CLI tool, which is assumed to operate within its own sandbox. The skill itself does not attempt to modify files outside its designated scope.",{"category":72,"check":85,"severity":30,"summary":86},"Sandbox escape primitives","The skill's scripts are straightforward command executions and do not contain patterns like `nohup`, detached processes, or retry loops that could indicate sandbox escape attempts.",{"category":72,"check":88,"severity":30,"summary":89},"Data Exfiltration","The skill's primary function is to call the `dreamina` CLI, which handles user data. The skill itself does not perform any outbound calls or exfiltrate user data.",{"category":72,"check":91,"severity":30,"summary":92},"Hidden Text Tricks","The bundled markdown files do not contain any hidden text tricks, invisible Unicode characters, or obfuscated instructions.",{"category":94,"check":95,"severity":30,"summary":96},"Hooks","Opaque code execution","The skill's logic is entirely based on clear, readable Bash commands and markdown instructions, with no obfuscated code, base64 payloads, or runtime script fetching.",{"category":98,"check":99,"severity":30,"summary":100},"Portability","Structural Assumption","The skill assumes the `dreamina` CLI is installed and accessible via PATH. Installation instructions are provided, and potential issues are documented in troubleshooting.",{"category":102,"check":103,"severity":66,"summary":104},"Trust","Issues Attention","No issue tracking information (opened/closed issues) is available for this repository in the provided metadata.",{"category":106,"check":107,"severity":30,"summary":108},"Versioning","Release Management","The `SKILL.md` frontmatter includes a `version: 0.1.0` field, indicating a declared version for the skill.",{"category":110,"check":111,"severity":30,"summary":112},"Code Execution","Validation","Input parameters for `dreamina` commands are quoted and their mapping to CLI flags is documented. The skill relies on the `dreamina` CLI for its internal validation.",{"category":72,"check":114,"severity":30,"summary":115},"Unguarded Destructive Operations","The skill primarily performs generation tasks via the `dreamina` CLI. There are no indications of destructive operations within the skill's own scripts that would require additional guards.",{"category":110,"check":117,"severity":30,"summary":118},"Error Handling","The skill instructs the user to rely on `dreamina`'s JSON output and exit codes for error handling. Troubleshooting steps are provided for common CLI errors.",{"category":110,"check":120,"severity":30,"summary":121},"Logging","The `dreamina` CLI itself logs operational details to `~/.dreamina_cli/logs/`. The skill does not implement its own separate audit logging but relies on the CLI's capabilities.",{"category":123,"check":124,"severity":125,"summary":126},"Compliance","GDPR","info","The skill interacts with ByteDance services, which may process personal data. However, the skill itself does not explicitly handle or submit personal data, relying on the `dreamina` CLI for user authentication via OAuth.",{"category":123,"check":128,"severity":30,"summary":129},"Target market","The skill's target market is global, as it relies on the `dreamina` CLI which is available internationally. No regional restrictions are identified.",{"category":98,"check":131,"severity":30,"summary":132},"Runtime stability","The skill assumes the `dreamina` CLI is installed and accessible. Installation instructions are provided, and troubleshooting covers potential environment issues.",{"category":46,"check":134,"severity":30,"summary":135},"Precise Purpose","The description clearly defines the skill's purpose (ByteDance Jimeng image/video generation via CLI) and when to use it (explicit mentions of Jimeng/Dreamina, or task history queries), distinguishing it from generic image/video generators.",{"category":46,"check":137,"severity":30,"summary":138},"Concise Frontmatter","The frontmatter is concise, clearly stating the core capability and providing specific trigger phrases within the character limit.",{"category":50,"check":140,"severity":30,"summary":141},"Concise Body","The `SKILL.md` body is well-structured, under 500 lines, and delegates detailed information like command references to separate markdown files.",{"category":143,"check":144,"severity":30,"summary":145},"Context","Progressive Disclosure","Detailed information such as command references, installation, and troubleshooting is appropriately stored in separate `references/` markdown files, linked from the main `SKILL.md`.",{"category":143,"check":147,"severity":66,"summary":148},"Forked exploration","This skill is a direct invocation of a CLI tool and does not involve deep exploration or multi-file inspection that would necessitate `context: fork`.",{"category":28,"check":150,"severity":30,"summary":151},"Usage examples","The skill provides clear, end-to-end examples for text-to-image and image-to-video generation, demonstrating input parameters and expected invocation.",{"category":28,"check":153,"severity":30,"summary":154},"Edge cases","The skill documents edge cases and limitations, such as installation issues, login failures, async job timeouts, and CLI version differences, providing recovery steps.",{"category":110,"check":156,"severity":66,"summary":157},"Tool Fallback","This skill directly wraps an external CLI tool (`dreamina`) and does not depend on or optionally use another tool like an MCP server with a fallback path.",{"category":98,"check":159,"severity":30,"summary":160},"Stack assumptions","The skill clearly states its assumption of the `dreamina` CLI being installed and accessible via PATH, providing installation instructions.",{"category":162,"check":163,"severity":30,"summary":164},"Safety","Halt on unexpected state","The skill's preflight checks for `dreamina` installation and login status ensure a halt and report on unexpected pre-state before proceeding to generation.",{"category":98,"check":166,"severity":30,"summary":167},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills. It clearly delineates its scope and directs users to other skills like `happy-image-gen` when Jimeng is not specified.",1778053274536,"This skill provides a direct interface to the `dreamina` command-line tool for image and video generation. It includes detailed instructions for installation, login, parameter mapping, and troubleshooting, ensuring users can leverage Jimeng-exclusive models and browser-based authentication.","2.0.0","3.4.0","The happy-dreamina skill is exceptionally well-documented and robust, with clear instructions, comprehensive troubleshooting, and excellent error handling via the underlying `dreamina` CLI. It adheres strictly to its scope and leverages progressive disclosure effectively. The only minor point is the `info` severity on GDPR, which is standard for any interaction with external services.",98,"A high-quality skill for generating images and videos using ByteDance's Jimeng service via the `dreamina` CLI.",[15,16,17,18,19,20],"global","verified",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":186},{},1778053260741,{"descriptionLength":182,"readmeSize":8},705,{},{"hasNpmPackage":185,"smitheryVerified":185},false,{"hasCi":185,"hasTests":185},{"updatedAt":188},1778053284450,{"githubOwner":190,"githubRepo":191,"locale":24,"slug":192,"type":193},"iamzhihuix","happy-claude-skills","happy-dreamina","skill",true,{"_creationTime":196,"_id":197,"community":198,"display":199,"identity":212,"parentExtension":214,"providers":251,"relations":255,"workflow":256},1778053197391.3826,"k178jh6rrdj83v5adkc8trggrx8671n6",{"reviewCount":8},{"description":200,"installMethods":201,"name":202,"sourceUrl":203,"tags":204},"ByteDance Jimeng (Dreamina) image and video generation via the official `dreamina` CLI. Browser-based login, covers text2image / image2image / text2video / image2video plus task history.",{},"Video Processor","https://github.com/iamzhihuix/happy-claude-skills",[205,206,207,208,209,210,17,211],"video","audio","transcription","ffmpeg","yt-dlp","whisper","utility",{"githubOwner":190,"githubRepo":191,"locale":24,"slug":192,"type":213},"plugin",{"_creationTime":215,"_id":216,"community":217,"display":218,"identity":234,"providers":236,"relations":246,"workflow":248},1778053197391.3733,"k179bs7h81fd44w43crascabax866n51",{"reviewCount":8},{"description":219,"installMethods":220,"name":221,"sourceUrl":203,"tags":222},"Practical Claude Code skill plugins for document format replication, video processing, and content creation",{},"Happy Claude Skills",[223,224,225,226,227,228,15,16,229,230,231,232,233],"ai","coding-assistant","developer-tools","document-processing","video-processing","content-creation","audio-generation","browser-automation","password-management","oss-prep","app-audit",{"githubOwner":190,"githubRepo":191,"locale":24,"slug":191,"type":235},"marketplace",{"extract":237,"llm":243},{"commitSha":238,"license":239,"marketplace":240},"f49e7782a551759c9f9e0a4d4417ff053f0a86fd","MIT",{"name":191,"pluginCount":241,"version":242},12,"1.0.0",{"promptVersionExtension":170,"promptVersionScoring":171,"score":244,"targetMarket":176,"tier":245},78,"evaluated",{"repoId":247},"kd7dbbtdq95nkcs3k7fg9w6fdn864j0b",{"anyEnrichmentAt":249,"extractAt":250,"githubAt":249,"llmAt":188,"updatedAt":188},1778053199195,1778053197391,{"extract":252,"llm":253},{"commitSha":238},{"promptVersionExtension":170,"promptVersionScoring":171,"score":254,"targetMarket":176,"tier":177},92,{"parentExtensionId":216,"repoId":247},{"anyEnrichmentAt":249,"extractAt":250,"githubAt":249,"llmAt":188,"updatedAt":188},{"extract":258,"llm":259},{"commitSha":238,"license":239},{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"parentExtensionId":197,"repoId":247},{"_creationTime":262,"_id":247,"identity":263,"providers":264,"workflow":275},1777995558409.8823,{"githubOwner":190,"githubRepo":191,"sourceUrl":203},{"discover":265,"github":268},{"sources":266},[267],"skills-sh",{"closedIssues90d":8,"forks":269,"license":239,"openIssues90d":270,"pushedAt":271,"readmeSize":272,"stars":273,"topics":274},28,1,1776647239000,9879,285,[],{"discoverAt":276,"extractAt":277,"githubAt":277,"updatedAt":277},1777995558409,1778053200076,{"anyEnrichmentAt":249,"extractAt":250,"githubAt":249,"llmAt":188,"updatedAt":188},[],[281,309,337,367,399,430],{"_creationTime":282,"_id":283,"community":284,"display":285,"identity":294,"providers":298,"relations":303,"workflow":305},1778053045806.3567,"k17e33v4yntn4a3cdb8ky942th867caj",{"reviewCount":8},{"description":286,"installMethods":287,"name":288,"sourceUrl":289,"tags":290},"agent-im 会话技能 - 通过 liblib.tv 的 AI 能力生成和编辑图片/视频。覆盖场景包括：生成（文生图、文生视频、图生视频、做动画、画一个xxx、来段xxx）、编辑修改（把xxx换成yyy、去掉xxx、加上xxx、改成xxx、调整xxx、局部修改、改镜头）、风格转换（风格迁移、转绘、换风格）、视频续写延长、复刻视频/TVC/宣传片、短剧/短漫剧生成、音乐MV生成、产品广告/展示片制作、分镜/故事板设计、教育视频/短视频制作。当用户提到 liblib、libtv、上传参考图/视频、查看生成进度时也应触发。关键判断：只要用户的请求涉及 AI 图片或视频的创作、生成、编辑、修改，无论措辞如何（如\"画只猫\"、\"做个海报\"、\"把纸船换成爱心\"、\"这个视频帮我改一下\"、\"帮我复刻这段视频\"、\"用这首歌做个MV\"、\"一句话生成短剧\"），都必须触发此技能。",{},"LibTV AI Agent Skills","https://github.com/libtv-labs/libtv-skills/tree/HEAD/skills/libtv-skill",[223,15,16,291,292,293],"editing","liblib","python",{"githubOwner":295,"githubRepo":296,"locale":24,"slug":297,"type":193},"libtv-labs","libtv-skills","libtv-skill",{"extract":299,"llm":301},{"commitSha":300,"license":239},"c609246c1eca69f6bc129bcbb5d64c36734e4a4a",{"promptVersionExtension":170,"promptVersionScoring":171,"score":302,"targetMarket":176,"tier":177},95,{"repoId":304},"kd702p00n7aag2rzaer2dkgx1s864sc0",{"anyEnrichmentAt":306,"extractAt":307,"githubAt":306,"llmAt":308,"updatedAt":308},1778053046121,1778053045806,1778053057670,{"_creationTime":310,"_id":311,"community":312,"display":313,"identity":323,"providers":325,"relations":331,"workflow":333},1778054586606.9207,"k17dgzjgvsrbv3nsbp0kz4c1ax8665ww",{"reviewCount":8},{"description":314,"installMethods":315,"name":316,"sourceUrl":317,"tags":318},"Vercel filesystem detectors",{},"Vercel Filesystem Detectors","https://github.com/vercel/vercel/tree/HEAD/packages/fs-detectors",[319,320,321,322,17,211],"vercel","build-system","framework-detection","monorepo",{"githubOwner":319,"githubRepo":319,"locale":24,"slug":324,"type":193},"vercel-fs-detectors",{"extract":326,"llm":329},{"commitSha":327,"license":328},"da93fccb68ef705f866ddb8d4ff596495589442a","Apache-2.0",{"promptVersionExtension":170,"promptVersionScoring":171,"score":330,"targetMarket":176,"tier":177},100,{"repoId":332},"kd70sna36fh1a450f5r7e0f8p986555e",{"anyEnrichmentAt":334,"extractAt":335,"githubAt":334,"llmAt":336,"updatedAt":336},1778054590995,1778054586606,1778054733091,{"_creationTime":338,"_id":339,"community":340,"display":341,"identity":354,"providers":357,"relations":361,"workflow":363},1778053126504.8447,"k177gyb2pp9y0hpcx23rd2j0gd866t61",{"reviewCount":8},{"description":342,"installMethods":343,"name":344,"sourceUrl":345,"tags":346},"Smart Money analytics on OKX: leaderboard traders, position tracking, trade records, aggregated consensus signals, and signal history. Use this skill when the user asks about 聪明钱, smart money, 牛人榜, leaderboard, top traders, 带单员, lead traders, 交易员排行, trader ranking, trader positions, trader PnL, 交易员持仓, 交易员收益, smart money signal, 聪明钱信号, long/short ratio, 多空比, capital flow, 资金流向, position conviction, 仓位强度, entry price distribution, smart money overview, 聪明钱总览, signal history, 信号历史, trader search, 搜索交易员, who is trading BTC, 谁在交易BTC, recommend traders, 推荐交易员, best traders, top performers.",{},"OKX CEX Smart Money CLI","https://github.com/okx/agent-skills/tree/HEAD/skills/okx-cex-smartmoney",[347,348,349,350,351,352,353,17],"okx","cex","smartmoney","analytics","trader","leaderboard","signals",{"githubOwner":347,"githubRepo":355,"locale":24,"slug":356,"type":193},"agent-skills","okx-cex-smartmoney",{"extract":358,"llm":360},{"commitSha":359,"license":239},"2c10950e7d08ff4a6f92e29aa5a72fc1f6982c3b",{"promptVersionExtension":170,"promptVersionScoring":171,"score":330,"targetMarket":176,"tier":177},{"repoId":362},"kd762kyfecgcjapqdqxsv1ngw986551x",{"anyEnrichmentAt":364,"extractAt":365,"githubAt":364,"llmAt":366,"updatedAt":366},1778053126894,1778053126504,1778053154881,{"_creationTime":368,"_id":369,"community":370,"display":371,"identity":382,"providers":386,"relations":392,"workflow":394},1777995614337.9844,"k17f0xfg2pkfqd1p5jjzh8sswh8645px",{"reviewCount":8},{"description":372,"installMethods":373,"name":374,"sourceUrl":375,"tags":376},"Scaffold an editable Tandem control panel app",{},"Tandem Panel Scaffold","https://github.com/frumu-ai/tandem/tree/HEAD/packages/create-tandem-panel",[377,17,378,379,380,381],"scaffolding","react","typescript","vite","ui",{"githubOwner":383,"githubRepo":384,"locale":24,"slug":385,"type":193},"frumu-ai","tandem","create-tandem-panel",{"extract":387,"llm":390,"smithery":391},{"commitSha":388,"license":389},"25c8ae7c2f8b20d576a2b8d44946ac2e0ff9408d","MIT OR Apache-2.0",{"promptVersionExtension":170,"promptVersionScoring":171,"score":330,"targetMarket":176,"tier":177},{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":185},{"repoId":393},"kd72pd305er4m7vecv9p6mnd4s865kea",{"anyEnrichmentAt":395,"extractAt":396,"githubAt":397,"llmAt":398,"smitheryAt":395,"updatedAt":398},1777995723550,1777995614338,1777995614791,1777995897177,{"_creationTime":400,"_id":401,"community":402,"display":403,"identity":415,"providers":418,"relations":423,"workflow":426},1778054268187.7783,"k1799kwx7k8g1vx165qr4np3298670sw",{"reviewCount":8},{"description":404,"installMethods":405,"name":406,"sourceUrl":407,"tags":408},"Guide for using the Bright Data CLI (`brightdata` / `bdata`) to scrape websites, search the web, extract structured data from 40+ platforms, manage proxy zones, and check account budget. Use this skill whenever the user wants to scrape a URL, search Google/Bing/Yandex, extract data from Amazon/LinkedIn/Instagram/TikTok/YouTube/Reddit or any other platform, check their Bright Data balance or zones, or do anything involving web data collection from the terminal. Also trigger when the user mentions brightdata, bdata, web scraping CLI, SERP API, or wants to install Bright Data skills into their coding agent.",{},"Bright Data CLI","https://github.com/brightdata/skills/tree/HEAD/skills/brightdata-cli",[409,17,410,411,412,413,414],"brightdata","web-scraping","data-extraction","serp-api","automation","terminal",{"githubOwner":409,"githubRepo":416,"locale":24,"slug":417,"type":193},"skills","brightdata-cli",{"extract":419,"llm":421},{"commitSha":420,"license":239},"d0eeb1fbab809ffffe7c270186bd3eb78cf0c8ba",{"promptVersionExtension":170,"promptVersionScoring":171,"score":422,"targetMarket":176,"tier":177},99,{"parentExtensionId":424,"repoId":425},"k177secs2fy2665c3z8prspg0s867xd1","kd7e4q3ah25vmt87x67vanphhn864r9h",{"anyEnrichmentAt":427,"extractAt":428,"githubAt":427,"llmAt":429,"updatedAt":429},1778054269540,1778054268187,1778054318963,{"_creationTime":431,"_id":432,"community":433,"display":434,"identity":446,"providers":448,"relations":452,"workflow":454},1778053148350.4475,"k171c93xj4bgdjdrmjt3mdb4f18668n1",{"reviewCount":8},{"description":435,"installMethods":436,"name":437,"sourceUrl":438,"tags":439},"Create effective AI image generation prompts for DALL-E, Midjourney, and Stable Diffusion. Generate prompts for various styles and use cases.",{},"Image Generation","https://github.com/claude-office-skills/skills/tree/HEAD/image-generation",[15,440,441,442,443,444,445],"prompt-engineering","ai-art","dall-e","midjourney","stable-diffusion","documentation",{"githubOwner":447,"githubRepo":416,"locale":24,"slug":15,"type":193},"claude-office-skills",{"extract":449,"llm":451},{"commitSha":450,"license":239},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"repoId":453},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":455,"extractAt":456,"githubAt":455,"llmAt":457,"updatedAt":457},1778053151766,1778053148350,1778053561145]