{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-kingleo-kimi-vscode","slug":"kimi","name":"Kimi","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=Kingleo.kimi-vscode","page_url":"https://unfragile.ai/kimi","categories":["code-editors","automation"],"tags":["ai","Algorithm","Amazon CodeWhisperer","Anthropic","API","assistant","autocomplete","backend","BARD","bash","Blackbox","Blackbox AI","Bootstrap","bug","build a website","build an app","c","c#","c++","chatChatGPT","Claude","cli","cline","code completion","Code debugger","code reviewer","code-debugger","code-recommendation","CodeWhisperer","Coding Assistant","Codium","Copilot","co-pilot","cpp","csharp","css","Cursor","Cursor AI","CV","CVE","cybersecurity","DALL.E","DALLE","Data structure","database","Debugger","debuggers","deepseek","DeepSeek Chat","Deployment","Design","Design Pattern","Design Patterns","Design Patterns in C++","documentation","domination","education","Framework","free","frontend","Gemini","Git","Github","Github Copilot","go","golang","GPT","GPT3","GPT3.5-turbo","GPT3-turbo","GPT4","GPT40","GPT4-o","GPT4-turbo","GPTshaskell","highlighter","highlighting","how to design a website","html","Http","Https","intellicode","intellisense","interactive","java","javascript","julia","jupyter","keybindings","kite","kotlin","Languages","learn","Learning","Linter","Linux","lua","Machine learning","method-completetion","Mistral AI","node","node.js","ocaml","Operating system","OWASP","Programming Languages","python","react","refeactor","ruby","rust","snippets","snippetssql","SQL Injection","sqlite","swift","syntax","syntax-checker","Tabnine","Text editor","tutorial","typescript","web design","XSS"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-kingleo-kimi-vscode__cap_0","uri":"capability://text.generation.language.in.editor.kimi.chat.webview.panel.integration","name":"in-editor kimi chat webview panel integration","description":"Opens a dedicated webview panel within VS Code that hosts the Kimi Chat interface, allowing developers to access AI-powered conversation without leaving the editor. The extension uses VS Code's webview API to embed a browser-like container that communicates with Kimi.ai servers, with automatic panel launch on first install and status bar quick-access button for toggling visibility.","intents":["I want to ask an AI assistant questions without switching windows or tabs","I need quick access to chat-based coding help while staying in my editor","I want to integrate AI assistance into my existing VS Code workflow without context switching"],"best_for":["solo developers using VS Code as primary IDE","teams wanting lightweight AI chat integration without heavy IDE modifications","developers who prefer chat-based assistance over autocomplete-style suggestions"],"limitations":["Webview panel consumes additional memory and UI real estate in VS Code","No documented integration with VS Code's editor context (current file, selection, diagnostics)","Chat history and context are isolated to the webview — no persistent state management documented","Webview sandboxing prevents direct file system access from the chat interface"],"requires":["Visual Studio Code (minimum version unknown)","Active internet connection to reach Kimi.ai servers","Kimi.ai account or authentication (method undocumented)"],"input_types":["text (chat messages)","images (via Kimi's image processing features)"],"output_types":["text (chat responses)","code snippets (inferred from 'Image to Code' capability)","structured data (charts, analysis)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kingleo-kimi-vscode__cap_1","uri":"capability://image.visual.image.to.code.conversion.via.kimi.k1.5","name":"image-to-code conversion via kimi k1.5","description":"Processes uploaded images through Kimi k1.5's vision model to extract visual structure and convert it into executable code or structured insights. The extension relays images from the webview to Kimi's backend, which performs OCR, layout analysis, and code generation, returning code snippets or structured representations that developers can copy into their projects.","intents":["I have a design mockup or screenshot and want to generate HTML/CSS/React code from it","I need to convert a whiteboard sketch or diagram into structured code","I want to extract code from an image of a terminal, document, or screen capture"],"best_for":["frontend developers converting designs to code","teams prototyping UI from mockups or screenshots","developers reverse-engineering code from visual references"],"limitations":["Image-to-code quality depends on image clarity and complexity — no documented accuracy metrics","Generated code may require manual refinement and testing","No batch processing — single image per request","Image size/format constraints not documented","No version control or history of generated code snippets"],"requires":["Image file (format not specified, likely PNG/JPG/WebP)","Active Kimi.ai session with image processing capability enabled","Sufficient image resolution and clarity for model to parse"],"input_types":["image (PNG, JPG, WebP, or other formats supported by Kimi)"],"output_types":["code (HTML, CSS, JavaScript, React, or other languages)","structured data (layout descriptions, component hierarchies)"],"categories":["image-visual","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kingleo-kimi-vscode__cap_2","uri":"capability://image.visual.visual.data.to.chart.transformation","name":"visual data-to-chart transformation","description":"Analyzes images containing charts, graphs, tables, or visual data representations and converts them into structured chart definitions or data formats. Kimi k1.5 extracts numerical values, axis labels, and data relationships from the image, then generates chart code (e.g., Chart.js, D3.js, or data JSON) that developers can integrate into dashboards or reports.","intents":["I have a screenshot of a chart and need to recreate it as interactive code","I want to extract data from a printed or scanned table into a structured format","I need to convert a visual data representation into a chart library configuration"],"best_for":["data visualization developers working with legacy or printed data sources","teams digitizing paper-based reports or charts","analysts converting static images into interactive dashboards"],"limitations":["Accuracy depends on image quality and chart complexity — no error handling or confidence scores documented","Extracted data may contain OCR errors, especially for small text or complex layouts","No validation of extracted numerical values against source data","Chart type detection is automatic — no manual override option documented","Limited to 2D charts — 3D or complex visualizations may fail"],"requires":["Image containing chart, graph, or tabular data","Sufficient image resolution for Kimi to read axis labels and values","Chart library or data format compatibility (e.g., Chart.js, D3.js, CSV)"],"input_types":["image (chart, graph, table, or data visualization)"],"output_types":["code (Chart.js, D3.js, Plotly, or other chart library configurations)","structured data (JSON, CSV, or array format)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kingleo-kimi-vscode__cap_3","uri":"capability://image.visual.color.and.object.quantity.recognition.from.images","name":"color and object quantity recognition from images","description":"Processes images to identify and count visual elements (objects, colors, patterns) using Kimi k1.5's vision capabilities. The model analyzes pixel data and semantic content to detect specific colors (with hex/RGB output), enumerate objects in scenes, and provide spatial relationships, useful for design validation, inventory counting, or accessibility auditing.","intents":["I need to extract the exact color palette from a design mockup or screenshot","I want to count items in an image for inventory or asset management","I need to verify color contrast ratios or accessibility compliance in a design"],"best_for":["frontend developers extracting design tokens from mockups","QA engineers validating visual design compliance","accessibility auditors checking color contrast and visual clarity","inventory or logistics teams counting items in photos"],"limitations":["Color detection accuracy depends on image lighting and camera calibration — no white-balance correction documented","Object counting may fail with occlusion, blur, or complex scenes","No batch processing for multiple images","Hex/RGB output format not specified — may require post-processing","No confidence scores or uncertainty quantification for results"],"requires":["Image file with visible colors or countable objects","Adequate image resolution and lighting for model to distinguish elements","Clear visual separation between objects (for counting accuracy)"],"input_types":["image (design mockup, screenshot, photograph, or scene)"],"output_types":["text (color values in hex/RGB format)","structured data (object counts, spatial coordinates, color palettes)","analysis (color harmony, contrast ratios, accessibility metrics)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kingleo-kimi-vscode__cap_4","uri":"capability://image.visual.visual.similarity.and.confusion.detection","name":"visual similarity and confusion detection","description":"Analyzes images to identify visually similar objects or elements that might be confused with one another, using Kimi k1.5's comparative vision reasoning. Useful for design validation, accessibility testing, and quality assurance — the model compares visual features (shape, color, texture) and flags potential confusion points that could impact user experience or clarity.","intents":["I want to check if my UI buttons or icons are visually distinct enough to avoid user confusion","I need to validate that my color palette is accessible for colorblind users","I want to identify visual ambiguities in my design before user testing"],"best_for":["UX/UI designers validating design clarity and distinctiveness","accessibility specialists testing for colorblind-friendly design","QA teams identifying potential user confusion points","design systems teams ensuring component differentiation"],"limitations":["Confusion detection is heuristic-based — may not catch all real-world user confusion","No user testing data or empirical validation of flagged issues","Results are subjective to model training data and may not reflect all user populations","No severity scoring or prioritization of identified confusion points","Requires clear, well-lit images for accurate analysis"],"requires":["Image containing UI elements, icons, or visual components to analyze","Clear visual representation of elements being compared","Context about intended use (e.g., 'these are form buttons' vs. 'these are navigation tabs')"],"input_types":["image (UI mockup, design system, icon set, or visual comparison)"],"output_types":["text (analysis of visual similarities and confusion risks)","structured data (list of potentially confusing element pairs, similarity scores)"],"categories":["image-visual","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kingleo-kimi-vscode__cap_5","uri":"capability://image.visual.brand.and.logo.identification.from.images","name":"brand and logo identification from images","description":"Recognizes brands, logos, and product identities from images using Kimi k1.5's visual knowledge base. The model identifies brand names, associated companies, and contextual information from visual cues (logos, packaging, design language), useful for competitive analysis, asset verification, or market research.","intents":["I want to identify competitor logos or branding in a screenshot or market research image","I need to verify that a logo or brand asset is correctly identified in our design system","I want to extract brand metadata (company name, industry, associated products) from visual references"],"best_for":["marketing teams conducting competitive analysis","brand managers verifying brand asset usage","market researchers analyzing visual branding trends","e-commerce platforms moderating user-uploaded content for brand compliance"],"limitations":["Brand recognition depends on logo clarity and distinctiveness — obscured or stylized logos may fail","No real-time brand database updates — knowledge is frozen at model training time","May confuse similar logos or misidentify lesser-known brands","No confidence scores or alternative suggestions for ambiguous matches","Limited to brands in Kimi k1.5's training data — niche or new brands may not be recognized"],"requires":["Image containing a recognizable logo, brand mark, or branded product","Sufficient image resolution and clarity for model to identify visual features","Logo or brand that exists in Kimi k1.5's training knowledge base"],"input_types":["image (logo, branded product, packaging, or marketing material)"],"output_types":["text (brand name, company information, industry classification)","structured data (brand metadata, associated products, market positioning)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kingleo-kimi-vscode__cap_6","uri":"capability://image.visual.geoguessr.location.identification.from.images","name":"geoguessr location identification from images","description":"Analyzes images to identify geographic locations, landmarks, or regional characteristics using Kimi k1.5's geospatial visual reasoning. The model examines visual cues (architecture, signage, vegetation, infrastructure) to infer location, useful for geography games, travel planning, or location-based content validation.","intents":["I want to identify the location in a screenshot or photo for GeoGuessr gameplay","I need to verify that a travel or location-based image is authentic and correctly labeled","I want to extract geographic metadata (country, region, landmark) from visual references"],"best_for":["GeoGuessr players seeking hints or verification","travel content creators validating location authenticity","geographic researchers analyzing location-based imagery","content moderation teams verifying location claims in user uploads"],"limitations":["Location identification accuracy varies by image distinctiveness — generic scenes are harder to place","Model may confuse similar-looking regions or architectural styles across countries","No confidence scores or alternative location suggestions for ambiguous images","Requires visible landmarks, signage, or distinctive features — blank or generic scenes fail","Knowledge is frozen at model training time — new landmarks or infrastructure changes not reflected"],"requires":["Image containing geographic clues (landmarks, signage, architecture, vegetation, infrastructure)","Sufficient image resolution and clarity for model to identify visual features","Location that exists in Kimi k1.5's training knowledge base"],"input_types":["image (street view, landmark, landscape, or location-based photograph)"],"output_types":["text (country, region, city, or landmark name)","structured data (geographic coordinates, region metadata, landmark information)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kingleo-kimi-vscode__cap_7","uri":"capability://tool.use.integration.configurable.url.routing.for.arbitrary.website.access","name":"configurable url routing for arbitrary website access","description":"Allows developers to change the URL in extension settings to access any website through the Kimi webview panel, effectively converting the extension into a generic webview wrapper. This enables access to alternative AI services, internal tools, or custom web applications by modifying the target URL without rebuilding the extension, providing flexibility for teams with non-standard deployment or custom integrations.","intents":["I want to use a different AI service or local instance instead of Kimi.ai","I need to access an internal web tool or dashboard through VS Code","I want to point the extension at a custom or self-hosted version of Kimi"],"best_for":["teams running self-hosted or on-premise AI services","developers integrating custom web applications into VS Code","organizations with non-standard deployment requirements or air-gapped networks","power users wanting to repurpose the extension for alternative services"],"limitations":["No validation of target URL — misconfigured URLs will fail silently or show blank panels","Webview sandboxing still applies — target service must be compatible with VS Code's content security policy","No authentication mechanism documented — target service must handle auth independently or via URL parameters","Settings changes require extension reload or VS Code restart to take effect","No fallback or error recovery if target URL becomes unreachable","Security implications of arbitrary URL access not documented — potential for XSS or data leakage"],"requires":["Valid HTTP/HTTPS URL pointing to a web service","Target service compatible with VS Code webview sandbox (no frame-busting, no dangerous APIs)","Network access to target URL from developer's machine"],"input_types":["text (URL string in extension settings)"],"output_types":["webview panel (rendered content from target URL)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kingleo-kimi-vscode__cap_8","uri":"capability://tool.use.integration.status.bar.quick.access.toggle.for.chat.panel","name":"status bar quick-access toggle for chat panel","description":"Adds a clickable status bar item in VS Code's bottom status bar that toggles the visibility of the Kimi Chat webview panel. Provides one-click access to open/close the chat interface without using the command palette or keyboard shortcuts, improving discoverability and reducing friction for casual chat access during coding sessions.","intents":["I want a quick way to show/hide the chat panel without memorizing keyboard shortcuts","I need to toggle chat visibility while keeping my hands on the keyboard or mouse","I want to see at a glance whether the chat panel is open or hidden"],"best_for":["developers new to the extension who may not know keyboard shortcuts","teams with mixed experience levels wanting low-friction chat access","users who frequently toggle chat visibility during coding sessions"],"limitations":["Status bar real estate is limited — may be hidden if too many extensions add status items","No visual indicator of chat panel state (open/closed) documented","Click target is small — may be difficult on high-DPI displays or with accessibility needs","No customization of status bar appearance or position","Status bar item cannot be moved or reordered relative to other extensions"],"requires":["VS Code with status bar visible (not hidden by user settings)","Kimi extension installed and enabled"],"input_types":["user click on status bar item"],"output_types":["action (toggle chat panel visibility)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kingleo-kimi-vscode__cap_9","uri":"capability://automation.workflow.automatic.chat.panel.launch.on.first.extension.install","name":"automatic chat panel launch on first extension install","description":"Automatically opens the Kimi Chat webview panel when the extension is first installed, providing immediate onboarding and reducing friction for new users. This activation behavior eliminates the need for users to manually discover and open the chat interface, improving first-time user experience and encouraging immediate engagement with the extension's capabilities.","intents":["I just installed the extension and want to start using it immediately without extra steps","I want new team members to see the chat interface as soon as they install the extension","I need to reduce onboarding friction for users unfamiliar with VS Code extensions"],"best_for":["new users installing the extension for the first time","teams rolling out the extension to developers unfamiliar with VS Code","organizations wanting to maximize adoption and engagement on first install"],"limitations":["Auto-launch may be unexpected or disruptive for users who prefer manual activation","No option to disable auto-launch behavior documented","Chat panel may obscure code editor on first install, reducing visible workspace","Auto-launch only occurs once (on first install) — subsequent activations require manual toggle","No customization of auto-launch behavior per user or team"],"requires":["Fresh installation of Kimi extension (not triggered on updates)","VS Code running with extension activation enabled"],"input_types":["extension installation event"],"output_types":["action (open chat webview panel)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":48,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code (minimum version unknown)","Active internet connection to reach Kimi.ai servers","Kimi.ai account or authentication (method undocumented)","Image file (format not specified, likely PNG/JPG/WebP)","Active Kimi.ai session with image processing capability enabled","Sufficient image resolution and clarity for model to parse","Image containing chart, graph, or tabular data","Sufficient image resolution for Kimi to read axis labels and values","Chart library or data format compatibility (e.g., Chart.js, D3.js, CSV)","Image file with visible colors or countable objects"],"failure_modes":["Webview panel consumes additional memory and UI real estate in VS Code","No documented integration with VS Code's editor context (current file, selection, diagnostics)","Chat history and context are isolated to the webview — no persistent state management documented","Webview sandboxing prevents direct file system access from the chat interface","Image-to-code quality depends on image clarity and complexity — no documented accuracy metrics","Generated code may require manual refinement and testing","No batch processing — single image per request","Image size/format constraints not documented","No version control or history of generated code snippets","Accuracy depends on image quality and chart complexity — no error handling or confidence scores documented","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.55,"quality":0.45,"ecosystem":0.45,"match_graph":0.25,"freshness":0.9,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:36.253Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=kimi","compare_url":"https://unfragile.ai/compare?artifact=kimi"}},"signature":"tLlzv2Ddnrw6ku3sfP3ctss+qfOnRVAIyOjPhNVXZy2ZXL/ieFOGUZutxOeMN9ra7UBCQTm5nj/0vjti97iJAQ==","signedAt":"2026-06-15T16:16:12.968Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/kimi","artifact":"https://unfragile.ai/kimi","verify":"https://unfragile.ai/api/v1/verify?slug=kimi","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}