[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-answerzhao-vlm-id":3,"guides-for-answerzhao-vlm":225,"similar-k177d8x4rh1ywg32t06w9sjpq9867141":226},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":21,"identity":191,"isFallback":196,"parentExtension":197,"providers":198,"relations":202,"repo":204,"workflow":222},1778054691785.253,"k177d8x4rh1ywg32t06w9sjpq9867141",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Implement vision-based AI chat capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to analyze images, describe visual content, or create applications that combine image understanding with conversational AI. Supports image URLs and base64 encoded images for multimodal interactions.",{},"VLM (Vision Chat) Skill","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/VLM",[15,16,17,18,19,20],"vision","multimodal","image-analysis","sdk","cli","ai",{"_creationTime":22,"_id":23,"extensionId":5,"locale":24,"result":25,"trustSignals":179,"workflow":189},1778054738050.0173,"kn7bhmknv72eeh9t8ee15cj66s867ft9","en",{"checks":26,"evaluatedAt":169,"extensionSummary":170,"promptVersionExtension":171,"promptVersionScoring":172,"rationale":173,"score":174,"summary":175,"tags":176,"targetMarket":177,"tier":178},[27,32,35,38,42,45,49,53,56,59,63,68,71,75,78,81,84,87,90,93,97,101,105,110,114,117,120,123,128,131,134,137,140,143,147,150,153,156,159,162,166],{"category":28,"check":29,"severity":30,"summary":31},"Practical Utility","Problem relevance","pass","The description clearly states the problem of implementing vision-based AI chat capabilities and identifies the target user group (developers creating applications that combine image understanding with conversational AI).",{"category":28,"check":33,"severity":30,"summary":34},"Unique selling proposition","The skill offers value beyond a simple prompt by providing a structured SDK interface and CLI commands for complex multimodal interactions, which is more than default LLM behavior.",{"category":28,"check":36,"severity":30,"summary":37},"Production readiness","The skill covers the complete lifecycle for vision-based chat, including image analysis, conversational AI, and support for various image inputs (URLs, base64), suggesting it's ready for production workflows.",{"category":39,"check":40,"severity":30,"summary":41},"Scope","Single responsibility principle","The skill focuses on vision-based AI chat capabilities using a specific SDK and does not extend into unrelated domains like testing or deployment.",{"category":39,"check":43,"severity":30,"summary":44},"Description quality","The description is accurate, concise, and readable, effectively reflecting the skill's capabilities for vision-based AI chat.",{"category":46,"check":47,"severity":30,"summary":48},"Invocation","Scoped tools","The skill utilizes well-defined operations for vision tasks, such as `createVision`, rather than a single generalist tool, promoting easier selection and reduced attack surface.",{"category":50,"check":51,"severity":30,"summary":52},"Documentation","Configuration & parameter reference","All relevant parameters for CLI usage and SDK implementation are documented, including optional flags and their purpose.",{"category":39,"check":54,"severity":30,"summary":55},"Tool naming","Tool names like `createVision`, `analyzeImage`, `compareImages` are descriptive and align with the vision chat domain.",{"category":39,"check":57,"severity":30,"summary":58},"Minimal I/O surface","Input parameters for CLI and SDK are specific to the task (e.g., image URL, prompt) and not overly broad. Response structure seems to focus on the vision analysis output.",{"category":60,"check":61,"severity":30,"summary":62},"License","License usability","The extension includes a MIT License file and declares the MIT license in the SKILL.md frontmatter, 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 skill within the provided context, making it impossible to assess recency.",{"category":64,"check":69,"severity":30,"summary":70},"Dependency Management","The skill relies on the `z-ai-web-dev-sdk`, which is assumed to be managed externally. No other third-party dependencies are directly bundled or mentioned as needing management within the skill itself.",{"category":72,"check":73,"severity":66,"summary":74},"Security","Secret Management","The skill does not appear to handle or expose any secrets directly. It relies on an external SDK which is assumed to manage its own credentials securely.",{"category":72,"check":76,"severity":30,"summary":77},"Injection","The skill's code and documentation do not show any mechanisms for loading or executing untrusted third-party data as instructions. It operates on provided image URLs and prompts.",{"category":72,"check":79,"severity":30,"summary":80},"Transitive Supply-Chain Grenades","The skill does not fetch remote code or data at runtime, nor does it use patterns like `curl | sh`. All dependencies are expected to be managed by the SDK.",{"category":72,"check":82,"severity":30,"summary":83},"Sandbox Isolation","The skill's code operates within the context of the `z-ai-web-dev-sdk` and does not show any attempts to modify files outside its intended scope or project folder.",{"category":72,"check":85,"severity":30,"summary":86},"Sandbox escape primitives","There are no indications of detached process spawns or retry loops around denied tool calls within the provided skill code.",{"category":72,"check":88,"severity":30,"summary":89},"Data Exfiltration","The skill does not appear to make any undocumented outbound calls or attempt to exfiltrate confidential data. The outbound calls are through the SDK for its intended purpose.",{"category":72,"check":91,"severity":30,"summary":92},"Hidden Text Tricks","The bundled files do not contain any hidden text tricks, invisible characters, or obfuscated instructions within comments or prose.",{"category":94,"check":95,"severity":30,"summary":96},"Hooks","Opaque code execution","The provided JavaScript code is clear, readable, and does not use obfuscation techniques like base64 payloads or `eval()`.",{"category":98,"check":99,"severity":30,"summary":100},"Portability","Structural Assumption","The skill does not make structural assumptions about the user's project organization outside of requiring the `z-ai-web-dev-sdk` to be installed, which is a standard prerequisite.",{"category":102,"check":103,"severity":66,"summary":104},"Trust","Issues Attention","No issue tracking data (opened/closed issues) is available for this repository.",{"category":106,"check":107,"severity":108,"summary":109},"Versioning","Release Management","warning","No manifest version (e.g., in SKILL.md frontmatter or package.json) or GitHub release tags are present, and installation instructions might default to 'main' if not specified.",{"category":111,"check":112,"severity":30,"summary":113},"Code Execution","Validation","The skill's code and CLI examples demonstrate input validation for prompts and image sources, and the SDK is expected to handle schema validation for its own operations.",{"category":72,"check":115,"severity":30,"summary":116},"Unguarded Destructive Operations","The skill is primarily analytical and does not perform destructive operations. There are no obvious destructive primitives in the provided scripts.",{"category":111,"check":118,"severity":30,"summary":119},"Error Handling","The provided TypeScript script includes basic try-catch blocks for error handling, and the SDK examples show structured error handling.",{"category":111,"check":121,"severity":66,"summary":122},"Logging","The skill itself does not implement custom logging for destructive actions or outbound calls; it relies on the SDK's output and standard console logging for errors.",{"category":124,"check":125,"severity":126,"summary":127},"Compliance","GDPR","info","The skill processes images and text prompts, which could potentially include personal data if provided by the user. There are no explicit sanitization steps mentioned beyond what the underlying SDK might provide.",{"category":124,"check":129,"severity":30,"summary":130},"Target market","The extension operates globally, processing images and text without regional-specific logic or constraints. The target market is global.",{"category":98,"check":132,"severity":30,"summary":133},"Runtime stability","The skill is written in TypeScript and relies on the `z-ai-web-dev-sdk`, which is likely cross-platform. No specific OS or shell assumptions are made.",{"category":46,"check":135,"severity":30,"summary":136},"Precise Purpose","The description clearly defines the skill's purpose (vision-based AI chat), its artifact (images, URLs, base64), and its intended use cases (analyze, describe, create applications) with implicit boundaries.",{"category":46,"check":138,"severity":30,"summary":139},"Concise Frontmatter","The frontmatter in SKILL.md is concise and self-contained, clearly summarizing the core capability and its purpose within the initial characters.",{"category":50,"check":141,"severity":30,"summary":142},"Concise Body","The SKILL.md body is well-structured and under approximately 500 lines, effectively using progressive disclosure for detailed examples and documentation.",{"category":144,"check":145,"severity":30,"summary":146},"Context","Progressive Disclosure","The SKILL.md document effectively uses progressive disclosure, embedding code examples inline and providing clear sections for different use cases without excessive bloat.",{"category":144,"check":148,"severity":66,"summary":149},"Forked exploration","This skill is focused on direct image analysis and does not involve deep exploration or multi-file inspection that would necessitate `context: fork`.",{"category":28,"check":151,"severity":30,"summary":152},"Usage examples","The documentation provides numerous end-to-end, ready-to-use examples for both CLI and SDK usage, covering various scenarios like single/multiple image analysis, base64 input, and conversational chat.",{"category":28,"check":154,"severity":30,"summary":155},"Edge cases","The documentation addresses several edge cases and limitations, such as SDK backend usage, image loading issues, poor analysis quality, and slow response times, with corresponding solutions.",{"category":111,"check":157,"severity":66,"summary":158},"Tool Fallback","The skill primarily uses the `z-ai-web-dev-sdk` and does not appear to rely on optional external tools like MCP servers with fallbacks.",{"category":98,"check":160,"severity":30,"summary":161},"Stack assumptions","The skill assumes Node.js/TypeScript environment due to SDK usage and package manager (implied by `import`). Prerequisites are clearly stated, and the TypeScript script includes a shebang.",{"category":163,"check":164,"severity":30,"summary":165},"Safety","Halt on unexpected state","The provided examples and script demonstrate error handling, suggesting that unexpected states would halt the workflow and report an error, rather than proceeding silently.",{"category":98,"check":167,"severity":30,"summary":168},"Cross-skill coupling","The skill operates as a standalone unit, focusing on vision-based chat without implicit reliance on other skills. It does not appear to cross-link to or handle tasks from adjacent skills.",1778054710837,"This extension provides functionalities to analyze images, describe visual content, and create applications that combine image understanding with conversational AI. It supports image URLs and base64 encoded images for multimodal interactions through both a CLI and an SDK, with comprehensive examples for various use cases.","2.0.0","3.4.0","The extension is well-documented, provides clear examples for both CLI and SDK usage, and focuses on a single, well-defined responsibility. The primary warning is related to versioning, but the overall quality and production readiness are high.",95,"This skill enables vision-based AI chat capabilities using the z-ai-web-dev-sdk, supporting image analysis and conversational interactions.",[15,16,17,18,19,20],"global","verified",{"codeQuality":180,"collectedAt":181,"documentation":182,"maintenance":184,"security":185,"testCoverage":188},{},1778054695691,{"descriptionLength":183,"readmeSize":8},305,{},{"hasNpmPackage":186,"license":187,"smitheryVerified":186},false,"MIT",{"hasCi":186,"hasTests":186},{"updatedAt":190},1778054738050,{"githubOwner":192,"githubRepo":193,"locale":24,"slug":194,"type":195},"answerzhao","agent-skills","vlm","skill",true,null,{"extract":199,"llm":201},{"commitSha":200,"license":187},"aad73edbd0d9ffbc3d6a402b6eafa6dab96d5ebb",{"promptVersionExtension":171,"promptVersionScoring":172,"score":174,"targetMarket":177,"tier":178},{"repoId":203},"kd712v2g1pay70swwj0jpv2ggs864zgh",{"_creationTime":205,"_id":203,"identity":206,"providers":208,"workflow":219},1777995558409.901,{"githubOwner":192,"githubRepo":193,"sourceUrl":207},"https://github.com/answerzhao/agent-skills",{"discover":209,"github":212},{"sources":210},[211],"skills-sh",{"closedIssues90d":8,"forks":213,"openIssues90d":214,"pushedAt":215,"readmeSize":216,"stars":217,"topics":218},15,1,1768478800000,770,26,[],{"discoverAt":220,"extractAt":221,"githubAt":221,"updatedAt":221},1777995558409,1778054693420,{"anyEnrichmentAt":223,"extractAt":224,"githubAt":223,"llmAt":190,"updatedAt":190},1778054692243,1778054691785,[],[227,254,273,293,323,352],{"_creationTime":228,"_id":229,"community":230,"display":231,"identity":241,"providers":243,"relations":248,"workflow":250},1778053440456.6575,"k17538w4f2s5zz27n2z9d7aqbs866arf",{"reviewCount":8},{"description":232,"installMethods":233,"name":234,"sourceUrl":235,"tags":236},"Build voice AI agents with ElevenLabs. Use when creating voice assistants, customer service bots, interactive voice characters, or any real-time voice conversation experience.",{},"ElevenLabs Agents","https://github.com/elevenlabs/skills/tree/HEAD/agents",[237,238,239,240,18,19],"voice-ai","agents","elevenlabs","conversational-ai",{"githubOwner":239,"githubRepo":242,"locale":24,"slug":238,"type":195},"skills",{"extract":244,"llm":246},{"commitSha":245,"license":187},"b476f0ccf4be0e22b2e77cc39307665425d1472b",{"promptVersionExtension":171,"promptVersionScoring":172,"score":247,"targetMarket":177,"tier":178},98,{"repoId":249},"kd71z3hz1pg97d1k2d6kaqeqtx864knt",{"anyEnrichmentAt":251,"extractAt":252,"githubAt":251,"llmAt":253,"updatedAt":253},1778053440833,1778053440456,1778053480675,{"_creationTime":255,"_id":256,"community":257,"display":258,"identity":267,"providers":268,"relations":271,"workflow":272},1778054691785.2563,"k175a63p5vhhc6160by5rqytgd867xs7",{"reviewCount":8},{"description":259,"installMethods":260,"name":261,"sourceUrl":262,"tags":263},"Implement AI image generation capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to create images from text descriptions, generate visual content, create artwork, design assets, or build applications with AI-powered image creation. Supports multiple image sizes and returns base64 encoded images. Also includes CLI tool for quick image generation.",{},"AI Image Generation","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/image-generation",[264,20,18,19,265,266],"image-generation","typescript","z-ai-web-dev-sdk",{"githubOwner":192,"githubRepo":193,"locale":24,"slug":264,"type":195},{"extract":269,"llm":270},{"commitSha":200,"license":187},{"promptVersionExtension":171,"promptVersionScoring":172,"score":174,"targetMarket":177,"tier":178},{"repoId":203},{"anyEnrichmentAt":223,"extractAt":224,"githubAt":223,"llmAt":190,"updatedAt":190},{"_creationTime":274,"_id":275,"community":276,"display":277,"identity":287,"providers":288,"relations":291,"workflow":292},1778054691785.2568,"k17bcac1ydrsnc05mcyeqxtbns866sjb",{"reviewCount":8},{"description":278,"installMethods":279,"name":280,"sourceUrl":281,"tags":282},"Implement AI-powered video generation capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to generate videos from text prompts or images, create video content programmatically, or build applications that produce video outputs. Supports asynchronous task management with status polling and result retrieval.",{},"Video Generation","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/video-generation",[283,20,18,284,285,286],"video-generation","media","content-creation","z-ai",{"githubOwner":192,"githubRepo":193,"locale":24,"slug":283,"type":195},{"extract":289,"llm":290},{"commitSha":200,"license":187},{"promptVersionExtension":171,"promptVersionScoring":172,"score":174,"targetMarket":177,"tier":178},{"repoId":203},{"anyEnrichmentAt":223,"extractAt":224,"githubAt":223,"llmAt":190,"updatedAt":190},{"_creationTime":294,"_id":295,"community":296,"display":297,"identity":309,"providers":312,"relations":316,"workflow":318},1778000156777.95,"k175n9d53268ka9ydn3pw9fspn864had",{"reviewCount":8},{"description":298,"installMethods":299,"name":300,"sourceUrl":301,"tags":302},"Extension from 0xKaroshi/contendeo-mcp",{},"Contendeo","https://github.com/0xKaroshi/contendeo-mcp",[303,16,304,15,305,306,307,308],"video","transcription","ocr","mcp","authentication","remote-service",{"githubOwner":310,"githubRepo":311,"locale":24,"slug":311,"type":195},"0xKaroshi","contendeo-mcp",{"extract":313,"smithery":315},{"commitSha":314,"license":187},"fac117ce3d5fb8501df582709809a626b0ccdb23",{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":186},{"repoId":317},"kd7cxtghwmakmyhvyt9r5bvdk98643ht",{"anyEnrichmentAt":319,"extractAt":320,"githubAt":321,"invalidatedAt":319,"llmAt":322,"smitheryAt":319,"updatedAt":319},1778007780389,1778000156778,1778000157007,1778006249801,{"_creationTime":324,"_id":325,"community":326,"display":327,"identity":338,"providers":340,"relations":346,"workflow":348},1778054586606.9207,"k17dgzjgvsrbv3nsbp0kz4c1ax8665ww",{"reviewCount":8},{"description":328,"installMethods":329,"name":330,"sourceUrl":331,"tags":332},"Vercel filesystem detectors",{},"Vercel Filesystem Detectors","https://github.com/vercel/vercel/tree/HEAD/packages/fs-detectors",[333,334,335,336,19,337],"vercel","build-system","framework-detection","monorepo","utility",{"githubOwner":333,"githubRepo":333,"locale":24,"slug":339,"type":195},"vercel-fs-detectors",{"extract":341,"llm":344},{"commitSha":342,"license":343},"da93fccb68ef705f866ddb8d4ff596495589442a","Apache-2.0",{"promptVersionExtension":171,"promptVersionScoring":172,"score":345,"targetMarket":177,"tier":178},100,{"repoId":347},"kd70sna36fh1a450f5r7e0f8p986555e",{"anyEnrichmentAt":349,"extractAt":350,"githubAt":349,"llmAt":351,"updatedAt":351},1778054590995,1778054586606,1778054733091,{"_creationTime":353,"_id":354,"community":355,"display":356,"identity":369,"providers":371,"relations":375,"workflow":377},1778053126504.8447,"k177gyb2pp9y0hpcx23rd2j0gd866t61",{"reviewCount":8},{"description":357,"installMethods":358,"name":359,"sourceUrl":360,"tags":361},"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",[362,363,364,365,366,367,368,19],"okx","cex","smartmoney","analytics","trader","leaderboard","signals",{"githubOwner":362,"githubRepo":193,"locale":24,"slug":370,"type":195},"okx-cex-smartmoney",{"extract":372,"llm":374},{"commitSha":373,"license":187},"2c10950e7d08ff4a6f92e29aa5a72fc1f6982c3b",{"promptVersionExtension":171,"promptVersionScoring":172,"score":345,"targetMarket":177,"tier":178},{"repoId":376},"kd762kyfecgcjapqdqxsv1ngw986551x",{"anyEnrichmentAt":378,"extractAt":379,"githubAt":378,"llmAt":380,"updatedAt":380},1778053126894,1778053126504,1778053154881]