[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-answerzhao-llm-ko":3,"guides-for-answerzhao-llm":223,"similar-k176gbxhc64dkqtxv2h18f96nh866z6y":224},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":190,"isFallback":194,"parentExtension":195,"providers":196,"relations":200,"repo":202,"workflow":220},1778054691785.252,"k176gbxhc64dkqtxv2h18f96nh866z6y",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Implement large language model (LLM) chat completions using the z-ai-web-dev-sdk. Use this skill when the user needs to build conversational AI applications, chatbots, AI assistants, or any text generation features. Supports multi-turn conversations, system prompts, and context management.",{},"LLM Chat Completions","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/LLM",[15,16,17,18,19],"llm","chat","sdk","text-generation","conversational-ai",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":178,"workflow":188},1778054738050.014,"kn7cwa63gb16xdzn6bcy5y84q5866p1f","en",{"checks":25,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[26,31,35,38,42,45,49,53,56,59,63,68,71,75,78,81,84,87,90,93,97,101,105,110,114,117,120,123,127,130,133,136,139,142,146,149,152,155,158,161,165],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly states the problem addressed: building conversational AI applications, chatbots, AI assistants, and text generation features.",{"category":27,"check":32,"severity":33,"summary":34},"Unique selling proposition","info","The skill utilizes the z-ai-web-dev-sdk, which provides LLM chat completions. While functional, it doesn't explicitly detail a unique capability beyond standard LLM interaction patterns.",{"category":27,"check":36,"severity":29,"summary":37},"Production readiness","The skill provides comprehensive examples for CLI usage, basic chat completions, multi-turn conversations, and advanced use cases, indicating a good level of readiness for various workflows.",{"category":39,"check":40,"severity":29,"summary":41},"Scope","Single responsibility principle","The skill focuses on LLM chat completions and related text generation tasks, maintaining a clear and coherent scope.",{"category":39,"check":43,"severity":29,"summary":44},"Description quality","The description is concise, readable, and accurately reflects the skill's capabilities for implementing LLM chat completions.",{"category":46,"check":47,"severity":29,"summary":48},"Invocation","Scoped tools","The CLI usage examples demonstrate specific, verb-noun scoped commands like `z-ai chat` with clear parameters, rather than a single generalist tool.",{"category":50,"check":51,"severity":29,"summary":52},"Documentation","Configuration & parameter reference","All parameters for CLI usage are documented, including required and optional flags, and code examples clearly show SDK parameters.",{"category":39,"check":54,"severity":29,"summary":55},"Tool naming","The CLI command `z-ai chat` is descriptive and relevant to the skill's purpose.",{"category":39,"check":57,"severity":29,"summary":58},"Minimal I/O surface","The CLI parameters and SDK usage examples show specific inputs and outputs related to chat completions, without unnecessary data fields.",{"category":60,"check":61,"severity":29,"summary":62},"License","License usability","The extension is licensed under the MIT license, which is a permissive open-source license, clearly indicated in the LICENSE.txt file and SKILL.md.",{"category":64,"check":65,"severity":66,"summary":67},"Maintenance","Commit recency","not_applicable","No commit history information is available for this specific file path in the provided context.",{"category":64,"check":69,"severity":66,"summary":70},"Dependency Management","The skill primarily uses the `z-ai-web-dev-sdk` which is expected to be installed by the user; no other third-party dependencies are directly managed within the skill's code files.",{"category":72,"check":73,"severity":29,"summary":74},"Security","Secret Management","The code examples do not display any hardcoded secrets or echo resolved secret values to standard output. The SDK is noted to be for backend use only, implying proper secret handling is expected in the surrounding application.",{"category":72,"check":76,"severity":29,"summary":77},"Injection","The skill uses an SDK for chat completions and does not appear to load or execute untrusted external data as instructions.",{"category":72,"check":79,"severity":29,"summary":80},"Transitive Supply-Chain Grenades","The skill relies on the `z-ai-web-dev-sdk` and does not appear to fetch or execute external code at runtime.",{"category":72,"check":82,"severity":29,"summary":83},"Sandbox Isolation","The code examples demonstrate interaction with an SDK and do not show any operations that would modify files outside of the user's project or sandbox.",{"category":72,"check":85,"severity":29,"summary":86},"Sandbox escape primitives","No detached-process spawns or deny-retry loops are present in the provided code examples.",{"category":72,"check":88,"severity":29,"summary":89},"Data Exfiltration","The examples do not show any mechanisms for reading or submitting confidential data to third parties. The SDK is intended for backend use, suggesting sensitive operations are handled within the application.",{"category":72,"check":91,"severity":29,"summary":92},"Hidden Text Tricks","The bundled files do not contain any hidden text tricks, invisible Unicode characters, or other obfuscation methods intended to steer the model without curator visibility.",{"category":94,"check":95,"severity":29,"summary":96},"Hooks","Opaque code execution","The skill's code examples are written in standard JavaScript/TypeScript and do not employ obfuscation techniques like base64 payloads or runtime code fetching.",{"category":98,"check":99,"severity":29,"summary":100},"Portability","Structural Assumption","The skill's code examples are self-contained and do not make assumptions about specific user project structures beyond the expected import of the SDK.",{"category":102,"check":103,"severity":66,"summary":104},"Trust","Issues Attention","No issue tracking data is available.",{"category":106,"check":107,"severity":108,"summary":109},"Versioning","Release Management","warning","There is no explicit versioning information (e.g., in SKILL.md, package.json, or releases) provided for this skill, and the installation instructions do not point to a specific version.",{"category":111,"check":112,"severity":29,"summary":113},"Code Execution","Validation","The code examples demonstrate proper input handling for prompts and messages, and the SDK likely handles internal validation. The CLI parameters are also validated.",{"category":72,"check":115,"severity":29,"summary":116},"Unguarded Destructive Operations","The skill focuses on LLM completions and does not involve destructive operations that would require additional guards.",{"category":111,"check":118,"severity":29,"summary":119},"Error Handling","The provided code examples include try-catch blocks and explicit error handling, with one example showing retry logic for robust API calls.",{"category":111,"check":121,"severity":66,"summary":122},"Logging","The skill focuses on LLM interactions; no explicit requirement for local audit logging is present or demonstrated in the provided files.",{"category":124,"check":125,"severity":33,"summary":126},"Compliance","GDPR","The skill does not explicitly operate on personal data, but it submits user prompts to an LLM, which could indirectly include personal data if the user provides it. No explicit sanitization is shown for user input before it's sent to the LLM.",{"category":124,"check":128,"severity":29,"summary":129},"Target market","The extension appears to be globally applicable with no specific regional or jurisdictional logic encoded in its prompts or examples.",{"category":98,"check":131,"severity":29,"summary":132},"Runtime stability","The code is standard TypeScript/JavaScript and relies on the `z-ai-web-dev-sdk`, indicating good cross-platform compatibility assuming the SDK itself is cross-platform.",{"category":46,"check":134,"severity":29,"summary":135},"Precise Purpose","The description clearly outlines the skill's purpose (LLM chat completions using z-ai-web-dev-sdk) and its use cases (conversational AI, chatbots, assistants).",{"category":46,"check":137,"severity":29,"summary":138},"Concise Frontmatter","The frontmatter in SKILL.md is concise and effectively summarizes the skill's core capability and intended use.",{"category":50,"check":140,"severity":29,"summary":141},"Concise Body","The SKILL.md body is well-structured with clear sections and code examples, staying within a reasonable length.",{"category":143,"check":144,"severity":29,"summary":145},"Context","Progressive Disclosure","The SKILL.md file effectively uses progressive disclosure, outlining flows and linking to external scripts for detailed examples rather than embedding large amounts of code inline.",{"category":143,"check":147,"severity":66,"summary":148},"Forked exploration","This skill is not an exploration or audit-style skill; it directly performs LLM chat completions and does not require `context: fork`.",{"category":27,"check":150,"severity":29,"summary":151},"Usage examples","The skill provides numerous end-to-end examples for CLI usage, SDK integration, multi-turn conversations, and advanced use cases, demonstrating claimed behavior.",{"category":27,"check":153,"severity":29,"summary":154},"Edge cases","The skill's documentation and examples address potential issues like empty responses, context length limits, rate limiting errors, and inconsistent responses, providing recovery steps.",{"category":111,"check":156,"severity":66,"summary":157},"Tool Fallback","The skill relies on the `z-ai-web-dev-sdk` which is assumed to be installed and available; there are no other custom tools or MCP servers mentioned that would require fallback mechanisms.",{"category":98,"check":159,"severity":29,"summary":160},"Stack assumptions","The skill assumes Node.js/TypeScript runtime for its JavaScript examples and clearly states the need for the `z-ai-web-dev-sdk`.",{"category":162,"check":163,"severity":29,"summary":164},"Safety","Halt on unexpected state","The examples demonstrate error handling with try-catch blocks and explicit retry logic, suggesting that unexpected states will halt the workflow or be handled gracefully.",{"category":98,"check":166,"severity":29,"summary":167},"Cross-skill coupling","The skill operates independently on LLM chat completions and does not implicitly rely on other skills being loaded; its functionality is self-contained.",1778054709041,"This skill allows users to integrate large language model chat completions into their applications via the z-ai-web-dev-sdk. It supports multi-turn conversations, custom system prompts, and provides examples for CLI usage, direct SDK integration, and advanced features like content generation and code assistance.","2.0.0","3.4.0","The extension is well-documented, provides extensive examples, and has a clear scope. The primary areas for improvement are versioning and explicit handling of personal data input to the LLM. The MIT license is permissive and usability is high.",96,"This skill provides robust capabilities for implementing LLM chat completions using the z-ai-web-dev-sdk, offering comprehensive examples for various use cases.",[15,16,17,18,19],"global","verified",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":187},{},1778054695711,{"descriptionLength":182,"readmeSize":8},290,{},{"hasNpmPackage":185,"license":186,"smitheryVerified":185},false,"MIT",{"hasCi":185,"hasTests":185},{"updatedAt":189},1778054738050,{"githubOwner":191,"githubRepo":192,"locale":23,"slug":15,"type":193},"answerzhao","agent-skills","skill",true,null,{"extract":197,"llm":199},{"commitSha":198,"license":186},"aad73edbd0d9ffbc3d6a402b6eafa6dab96d5ebb",{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"repoId":201},"kd712v2g1pay70swwj0jpv2ggs864zgh",{"_creationTime":203,"_id":201,"identity":204,"providers":206,"workflow":217},1777995558409.901,{"githubOwner":191,"githubRepo":192,"sourceUrl":205},"https://github.com/answerzhao/agent-skills",{"discover":207,"github":210},{"sources":208},[209],"skills-sh",{"closedIssues90d":8,"forks":211,"openIssues90d":212,"pushedAt":213,"readmeSize":214,"stars":215,"topics":216},15,1,1768478800000,770,26,[],{"discoverAt":218,"extractAt":219,"githubAt":219,"updatedAt":219},1777995558409,1778054693420,{"anyEnrichmentAt":221,"extractAt":222,"githubAt":221,"llmAt":189,"updatedAt":189},1778054692243,1778054691785,[],[225,253,279,306,334,355],{"_creationTime":226,"_id":227,"community":228,"display":229,"identity":239,"providers":242,"relations":247,"workflow":249},1778054052548.222,"k17fard3a1kf7n7ybxjexq5k2h866rf5",{"reviewCount":8},{"description":230,"installMethods":231,"name":232,"sourceUrl":233,"tags":234},"Discord adapter for chat",{},"Discord Adapter","https://github.com/vercel/chat/tree/HEAD/packages/adapter-discord",[235,236,16,17,237,238],"discord","adapter","typescript","nodejs",{"githubOwner":240,"githubRepo":16,"locale":23,"slug":241,"type":193},"vercel","chat-adapter-discord",{"extract":243,"llm":245},{"commitSha":244,"license":186},"3e4764db4d5c826cd0938cdcd0130d14eb8ed992",{"promptVersionExtension":170,"promptVersionScoring":171,"score":246,"targetMarket":176,"tier":177},98,{"repoId":248},"kd7ds766kaxjjf3s3hr8y7z2t9865yn3",{"anyEnrichmentAt":250,"extractAt":251,"githubAt":250,"llmAt":252,"updatedAt":252},1778054054404,1778054052548,1778054107364,{"_creationTime":254,"_id":255,"community":256,"display":257,"identity":267,"providers":269,"relations":273,"workflow":275},1778053440456.6575,"k17538w4f2s5zz27n2z9d7aqbs866arf",{"reviewCount":8},{"description":258,"installMethods":259,"name":260,"sourceUrl":261,"tags":262},"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",[263,264,265,19,17,266],"voice-ai","agents","elevenlabs","cli",{"githubOwner":265,"githubRepo":268,"locale":23,"slug":264,"type":193},"skills",{"extract":270,"llm":272},{"commitSha":271,"license":186},"b476f0ccf4be0e22b2e77cc39307665425d1472b",{"promptVersionExtension":170,"promptVersionScoring":171,"score":246,"targetMarket":176,"tier":177},{"repoId":274},"kd71z3hz1pg97d1k2d6kaqeqtx864knt",{"anyEnrichmentAt":276,"extractAt":277,"githubAt":276,"llmAt":278,"updatedAt":278},1778053440833,1778053440456,1778053480675,{"_creationTime":280,"_id":281,"community":282,"display":283,"identity":292,"providers":296,"relations":300,"workflow":302},1778053730743.9404,"k173rfwq4dc7fwm8h0rev5cza1866g27",{"reviewCount":8},{"description":284,"installMethods":285,"name":286,"sourceUrl":287,"tags":288},"Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.",{},"AI Product Strategy","https://github.com/refoundai/lenny-skills/tree/HEAD/skills/ai-product-strategy",[289,290,291,15],"ai","product-strategy","planning",{"githubOwner":293,"githubRepo":294,"locale":23,"slug":295,"type":193},"refoundai","lenny-skills","ai-product-strategy",{"extract":297,"llm":299},{"commitSha":298,"license":186},"280a57aa42fed3b6f35f51f0d9e71013b4c8ae74",{"promptVersionExtension":170,"promptVersionScoring":171,"score":246,"targetMarket":176,"tier":177},{"repoId":301},"kd71b12s61d3nrk4f6dxqd3z35865mkg",{"anyEnrichmentAt":303,"extractAt":304,"githubAt":303,"llmAt":305,"updatedAt":305},1778053732694,1778053730744,1778053975687,{"_creationTime":307,"_id":308,"community":309,"display":310,"identity":320,"providers":324,"relations":328,"workflow":330},1778053100136.2388,"k17ba7hx1c2htdr84qc7vc86cd867abn",{"reviewCount":8},{"description":311,"installMethods":312,"name":313,"sourceUrl":314,"tags":315},"Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like \"review this paper\", \"analyze this research\", \"summarize this study\", or \"write a peer review\".",{},"Academic Paper Review Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/academic-paper-review",[316,317,318,319,15],"research","academic","paper-review","analysis",{"githubOwner":321,"githubRepo":322,"locale":23,"slug":323,"type":193},"bytedance","deer-flow","academic-paper-review",{"extract":325,"llm":327},{"commitSha":326,"license":186},"1336872b15c25d45ebcb7c1cf72369c2bdd53187",{"promptVersionExtension":170,"promptVersionScoring":171,"score":246,"targetMarket":176,"tier":177},{"repoId":329},"kd789sm7egx1h0t1jag6zzhcq98656wv",{"anyEnrichmentAt":331,"extractAt":332,"githubAt":331,"llmAt":333,"updatedAt":333},1778053101076,1778053100136,1778053169012,{"_creationTime":335,"_id":336,"community":337,"display":338,"identity":348,"providers":350,"relations":353,"workflow":354},1778054052548.2258,"k17bkh8x7r0t3e36bqb52wgkf5867d0e",{"reviewCount":8},{"description":339,"installMethods":340,"name":341,"sourceUrl":342,"tags":343},"Web adapter for chat — browser chat UI via the AI SDK useChat protocol",{},"Chat Web Adapter","https://github.com/vercel/chat/tree/HEAD/packages/adapter-web",[16,344,345,236,346,347],"web","react","ai-sdk","ui",{"githubOwner":240,"githubRepo":16,"locale":23,"slug":349,"type":193},"chat-adapter-web",{"extract":351,"llm":352},{"commitSha":244,"license":186},{"promptVersionExtension":170,"promptVersionScoring":171,"score":246,"targetMarket":176,"tier":177},{"repoId":248},{"anyEnrichmentAt":250,"extractAt":251,"githubAt":250,"llmAt":252,"updatedAt":252},{"_creationTime":356,"_id":357,"community":358,"display":359,"identity":371,"providers":374,"relations":379,"workflow":381},1777995645703.244,"k174tj4zmxrkh9kz1sgs8w3ts9865y61",{"reviewCount":8},{"description":360,"installMethods":361,"name":362,"sourceUrl":363,"tags":364},"BuyWhere tools for LangChain - product search, price comparison, and deals as LangChain tools",{},"BuyWhere LangChain Tools","https://github.com/BuyWhere/buywhere/tree/HEAD/packages/buywhere-langchain",[365,366,367,368,369,370,17,237],"buywhere","langchain","ecommerce","product-search","price-comparison","deals",{"githubOwner":372,"githubRepo":365,"locale":23,"slug":373,"type":193},"BuyWhere","buywhere-langchain",{"extract":375,"llm":377,"smithery":378},{"commitSha":376,"license":186},"2083d92e71185b754d867eae453dc21e471f33d2",{"promptVersionExtension":170,"promptVersionScoring":171,"score":246,"targetMarket":176,"tier":177},{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":185},{"repoId":380},"kd76sh9s8596jy0g347p8xyj6d865494",{"anyEnrichmentAt":382,"extractAt":383,"githubAt":384,"llmAt":385,"smitheryAt":382,"updatedAt":385},1777995723550,1777995645703,1777995646287,1777995897177]