{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-hybridtalentcomputing-cline-chinese","slug":"cline-chinese","name":"Cline Chinese","type":"agent","url":"https://marketplace.visualstudio.com/items?itemName=HybridTalentComputing.cline-chinese","page_url":"https://unfragile.ai/cline-chinese","categories":["code-editors"],"tags":["agent","ai","autonomous","chatgpt","claude","cline","cline-chinese","coding","dev","keybindings","llama","mcp","openrouter","sonnet"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_0","uri":"capability://code.generation.editing.autonomous.file.creation.and.editing.with.permission.gates","name":"autonomous-file-creation-and-editing-with-permission-gates","description":"Cline Chinese creates and modifies files within the VS Code workspace through an agentic loop that generates file operations, presents them to the user for approval before execution, and applies changes atomically. The extension integrates directly with VS Code's file system API and editor state management, allowing the AI to reason about workspace structure and propose edits that respect project layout. Each file operation (create, modify, delete) requires explicit user permission before execution, implementing a human-in-the-loop safety pattern.","intents":["I want the AI to generate boilerplate code files and scaffold new project structures without me manually creating each file","I need the AI to refactor code across multiple files while I review each change before it's applied","I want to generate configuration files (JSON, YAML, etc.) based on my project requirements with approval checkpoints"],"best_for":["solo developers building new projects who want rapid scaffolding with safety checkpoints","teams migrating codebases who need AI-assisted refactoring with explicit approval workflows","developers working with unfamiliar frameworks who want AI to generate boilerplate safely"],"limitations":["File operations are sequential, not parallel — large multi-file refactors may require multiple approval cycles","No built-in conflict resolution for concurrent edits if user manually edits files while Cline is proposing changes","Limited to workspace-scoped files — cannot create files outside the open VS Code workspace","No transactional rollback — if a multi-file operation partially fails, manual cleanup may be required"],"requires":["VS Code 1.80+ (inferred from extension architecture)","Write permissions on workspace directory","Active AI model connection (OpenAI, Claude, DeepSeek, or other configured provider)"],"input_types":["natural language instructions","existing code context from workspace","file paths and directory structure"],"output_types":["new files created in workspace","modified file contents","file deletion operations"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_1","uri":"capability://automation.workflow.terminal.command.execution.with.approval.workflow","name":"terminal-command-execution-with-approval-workflow","description":"Cline Chinese executes shell commands in the VS Code integrated terminal through an approval-first pattern: the AI proposes a command, displays it to the user, waits for explicit permission, then executes it and captures stdout/stderr for context in subsequent reasoning steps. The extension integrates with VS Code's terminal API to spawn processes, manage I/O streams, and handle exit codes. This enables the AI to run build commands, tests, package managers, and custom scripts while maintaining user control over system-level operations.","intents":["I want the AI to run tests and fix failing tests by proposing commands and showing me what it's about to execute","I need the AI to install dependencies, build the project, and run deployment scripts with my approval at each step","I want the AI to execute custom shell scripts and use the output to inform its next coding decisions"],"best_for":["developers building CI/CD workflows who want AI assistance with command orchestration","teams using complex build systems (Gradle, Maven, Webpack) who want AI to propose and execute build steps","developers debugging issues who want AI to run diagnostic commands and interpret results"],"limitations":["Commands execute in the workspace's default shell — shell-specific syntax may not be portable across Windows/Linux/macOS","No built-in timeout mechanism — long-running commands may block the UI if not managed carefully","Terminal output is captured but not streamed in real-time to the AI — large outputs may be truncated or summarized","No environment variable injection — AI cannot set custom env vars for commands unless they're already in the shell context","Commands run with the user's current permissions — no privilege escalation or sandboxing"],"requires":["VS Code 1.80+ with integrated terminal support","Shell access (bash, zsh, PowerShell, cmd.exe depending on OS)","Workspace directory with appropriate file system permissions"],"input_types":["natural language instructions to run commands","previous command output for context","file paths and project structure"],"output_types":["command execution results (stdout/stderr)","exit codes","terminal state changes"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_10","uri":"capability://tool.use.integration.dify.provider.integration.for.custom.workflow.orchestration","name":"dify-provider-integration-for-custom-workflow-orchestration","description":"Cline Chinese integrates with Dify (a low-code LLM application platform) as a custom provider, allowing users to route requests through Dify workflows. This enables complex orchestration, custom prompt engineering, and workflow logic without modifying Cline. Users configure Dify credentials in VS Code settings, and the extension sends requests to Dify's API, which executes the configured workflow and returns results. This is useful for teams with existing Dify workflows who want to integrate them into Cline.","intents":["I want to use my existing Dify workflows with Cline without duplicating logic","I need to orchestrate complex LLM workflows (multi-step reasoning, tool calling) through Dify","I want to apply custom prompt engineering and guardrails defined in Dify to Cline requests"],"best_for":["teams already using Dify who want to integrate with Cline","organizations needing complex LLM orchestration beyond single-model inference","teams with custom prompt engineering and workflow logic in Dify"],"limitations":["Requires Dify infrastructure setup and maintenance","Adds latency compared to direct API calls (Dify must process and forward requests)","Dify workflow errors may not be transparent to Cline users","Limited documentation on Dify integration specifics","Dify pricing and rate limits apply in addition to underlying LLM costs"],"requires":["Dify instance (self-hosted or cloud)","Dify API key and workflow configuration","VS Code settings configuration"],"input_types":["Dify API credentials","workflow parameters"],"output_types":["Dify workflow results"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_11","uri":"capability://code.generation.editing.claude.code.provider.integration.with.native.bindings","name":"claude-code-provider-integration-with-native-bindings","description":"Cline Chinese includes native integration with Claude Code (Anthropic's code-focused model), added in v3.25.2. This provides optimized bindings for Claude's code generation capabilities without requiring manual OpenAI-compatible endpoint configuration. Users can select Claude Code as a provider in settings, and the extension handles authentication and API calls directly. Recent fixes (v3.46.7) addressed 'claude code xxx' command errors, suggesting the integration was refined for stability.","intents":["I want to use Claude 3.5 Sonnet (Anthropic's latest code model) with Cline without manual configuration","I need access to Claude's vision capabilities for analyzing code screenshots or diagrams","I want to leverage Claude's extended context window for large codebase analysis"],"best_for":["developers who prefer Claude's code generation quality over other models","teams using Anthropic's API who want native Claude integration","projects requiring vision capabilities (analyzing screenshots, diagrams)"],"limitations":["Requires Anthropic API key and paid Claude API access","Recent fixes (v3.46.7) suggest stability issues were present — may still have edge cases","No support for Claude's extended context window optimization (if available)","Limited documentation on Claude-specific features and capabilities"],"requires":["Anthropic API key","Claude API access (paid)","VS Code settings configuration"],"input_types":["Anthropic API credentials","code context"],"output_types":["Claude-generated code and explanations"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_12","uri":"capability://tool.use.integration.https.proxy.configuration.for.enterprise.network.support","name":"https-proxy-configuration-for-enterprise-network-support","description":"Cline Chinese supports HTTPS proxy configuration for enterprise environments where direct internet access is restricted. Users can configure proxy settings in VS Code, and the extension routes all API calls through the configured proxy. This was fixed in v3.46.7 after being broken in earlier versions, suggesting proxy support is now stable. This enables Cline to work in corporate networks with proxy requirements without requiring VPN or network reconfiguration.","intents":["I want to use Cline in a corporate environment with HTTPS proxy requirements","I need to route all API calls through a corporate proxy without modifying system settings","I want to maintain network security policies while using cloud-based LLM providers"],"best_for":["enterprise developers in corporate networks with proxy requirements","teams with strict network security policies","organizations using proxy-based content filtering or monitoring"],"limitations":["Proxy configuration is manual — no automatic proxy detection","Proxy authentication (username/password) support is undocumented","Proxy failures may not be transparent — users must debug network issues manually","Recent fix (v3.46.7) suggests proxy support was previously broken — stability may still be an issue","No built-in proxy health checks or failover"],"requires":["HTTPS proxy URL","VS Code settings configuration","Proxy credentials (if required)"],"input_types":["proxy URL","proxy credentials (optional)"],"output_types":["proxied API calls to LLM providers"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_13","uri":"capability://code.generation.editing.deepseek.model.support.with.lightweight.variant.optimization","name":"deepseek-model-support-with-lightweight-variant-optimization","description":"Cline Chinese includes native support for DeepSeek models, including DeepSeek-R1 (reasoning model) and DeepSeek-R1-Distill-Qwen-7B/14B (lightweight variants optimized for Chinese). The documentation explicitly mentions these lightweight variants as part of the project's focus on Chinese input optimization, suggesting they're tuned for Chinese code and comments. This enables cost-effective reasoning and code generation for Chinese developers.","intents":["I want to use DeepSeek's reasoning model (R1) for complex problem-solving without expensive API calls","I need a lightweight model (DeepSeek-R1-Distill) that's optimized for Chinese code and fast inference","I want to balance cost and capability by using DeepSeek models instead of GPT-4 or Claude"],"best_for":["cost-conscious developers who want reasoning capabilities at lower cost","Chinese developers who want models optimized for Chinese language and code","teams using OpenRouter who want to leverage DeepSeek's cost-effective models"],"limitations":["DeepSeek model availability and pricing may change — no long-term stability guarantees","Lightweight variants (Distill) may have reduced capability compared to full models","Chinese optimization may reduce performance on English code","DeepSeek API reliability and uptime are not documented","No explicit support for DeepSeek's vision capabilities (if available)"],"requires":["DeepSeek API key or OpenRouter access","VS Code settings configuration"],"input_types":["code context","natural language instructions"],"output_types":["DeepSeek-generated code and reasoning"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_14","uri":"capability://code.generation.editing.gemini.and.zhipu.glm.provider.support.for.chinese.market","name":"gemini-and-zhipu-glm-provider-support-for-chinese-market","description":"Cline Chinese includes support for Google Gemini and Zhipu GLM (a Chinese AI model), reflecting the project's focus on the Chinese market and provider diversity. Users can configure these providers in VS Code settings and use them for code generation and reasoning. Zhipu GLM is specifically mentioned as a Chinese-optimized model, suggesting it's tuned for Chinese language and code.","intents":["I want to use Google Gemini's multimodal capabilities (vision, code generation) with Cline","I need to use Zhipu GLM, a Chinese-optimized model, for better Chinese language understanding","I want to diversify my LLM provider portfolio beyond OpenAI and Anthropic"],"best_for":["developers in China who want to use local providers (Zhipu GLM) for compliance or latency","teams wanting to leverage Gemini's multimodal capabilities","organizations diversifying LLM providers for resilience"],"limitations":["Zhipu GLM documentation and support are limited outside China","Gemini integration may not leverage all of Gemini's multimodal capabilities","Provider-specific features (e.g., Gemini's vision) are not explicitly documented","No explicit support for Gemini's extended context window","Zhipu GLM availability and pricing may be restricted to Chinese market"],"requires":["Google Gemini API key or Zhipu GLM credentials","VS Code settings configuration"],"input_types":["code context","natural language instructions"],"output_types":["Gemini or Zhipu GLM-generated code"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_15","uri":"capability://tool.use.integration.shengsuanyun.provider.integration.for.chinese.ai.cloud.platform","name":"shengsuanyun-provider-integration-for-chinese-ai-cloud-platform","description":"Cline Chinese integrates with 胜算云 (Shengsuanyun), a Chinese AI cloud platform that provides access to multiple models (GPT, Claude, Gemini) through a single interface. Users can configure Shengsuanyun credentials in VS Code, and the extension routes requests through the platform. Recent fixes (v3.46.7) addressed login and model access issues, suggesting the integration was refined for stability. This enables Chinese developers to access multiple models through a local provider without direct API keys.","intents":["I want to use multiple LLM models (GPT, Claude, Gemini) through a single Chinese provider","I need to access LLM APIs through a Chinese cloud platform for compliance or latency reasons","I want to manage API keys and billing through a single Chinese provider"],"best_for":["Chinese developers who want to use multiple models through a local provider","teams in China with compliance requirements for data residency","organizations wanting to consolidate LLM API management through a single provider"],"limitations":["Shengsuanyun availability and pricing are specific to the Chinese market","Recent fixes (v3.46.7) suggest login and model access issues were present — stability may still be an issue","Limited documentation on Shengsuanyun integration specifics","No explicit support for Shengsuanyun-specific features or optimizations","Pricing and model availability through Shengsuanyun may differ from direct API access"],"requires":["Shengsuanyun account and credentials","VS Code settings configuration"],"input_types":["Shengsuanyun credentials","model selection"],"output_types":["LLM responses from Shengsuanyun"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_2","uri":"capability://tool.use.integration.browser.automation.and.web.interaction","name":"browser-automation-and-web-interaction","description":"Cline Chinese can control a web browser to perform tasks like navigating URLs, filling forms, clicking elements, and extracting data from web pages. The implementation mechanism is not fully documented, but likely uses a headless browser API (Puppeteer, Playwright, or similar) or browser automation protocol. The AI can reason about page structure, interact with dynamic content, and use web-based tools as part of its problem-solving workflow, enabling tasks like API testing, web scraping for context, or interacting with web-based IDEs.","intents":["I want the AI to test my web application by navigating to URLs, filling forms, and verifying page content","I need the AI to interact with web-based tools (documentation sites, API dashboards) to gather information for coding tasks","I want the AI to scrape or extract data from web pages to inform code generation or testing"],"best_for":["full-stack developers building web applications who want AI-assisted end-to-end testing","developers integrating with web-based APIs who want AI to interact with API dashboards","teams needing AI to gather real-time data from web sources for code generation"],"limitations":["Browser automation mechanism is undocumented — unclear if it supports headless mode, screenshot capture, or JavaScript execution","No explicit support for authentication flows — may struggle with OAuth, MFA, or session-based security","Performance overhead of browser automation may slow down agentic loops significantly","Limited to single-browser context — cannot parallelize multiple browser tasks","May be blocked by CORS policies, rate limiting, or anti-bot measures on target websites"],"requires":["VS Code 1.80+","Network connectivity to target websites","Browser automation runtime (mechanism unknown — likely bundled with extension)"],"input_types":["URLs and navigation instructions","form data and interaction descriptions","CSS selectors or element descriptions"],"output_types":["page content and HTML structure","screenshot data (if supported)","extracted data from web pages","interaction results (form submissions, etc.)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_3","uri":"capability://tool.use.integration.multi.provider.llm.routing.with.cost.and.latency.optimization","name":"multi-provider-llm-routing-with-cost-and-latency-optimization","description":"Cline Chinese supports multiple AI model providers (OpenAI, Claude, DeepSeek, Gemini, OpenRouter, Dify, 胜算云) and allows users to configure which model to use for each task. For OpenRouter users, the extension provides sorting and filtering by throughput (tokens/sec), price ($/token), and latency to help select optimal providers. The routing logic is configured via VS Code settings and API keys, enabling users to balance cost, speed, and model capability without changing code.","intents":["I want to use cheaper models (DeepSeek-R1-Distill) for simple tasks and more capable models (Claude 3.5 Sonnet) for complex reasoning","I need to switch between providers based on availability, cost, or performance without reconfiguring the extension","I want to use OpenRouter to automatically select the fastest or cheapest provider for my workload"],"best_for":["cost-conscious developers who want to optimize LLM spending across multiple providers","teams using OpenRouter who want to leverage provider sorting for performance optimization","developers in China who want to use local providers (胜算云, Dify) for latency or compliance reasons"],"limitations":["API key configuration mechanism is undocumented — unclear how keys are stored securely or rotated","No built-in cost tracking or budgeting — users must manually monitor spending across providers","Provider switching requires manual configuration — no automatic failover if a provider is unavailable","OpenRouter sorting is limited to throughput, price, and latency — no sorting by model capability or accuracy","No support for provider-specific features (e.g., Claude's vision capabilities) in the routing logic"],"requires":["API keys for at least one configured provider (OpenAI, Anthropic, DeepSeek, Google, etc.)","VS Code settings configuration for provider selection","Network connectivity to chosen provider(s)"],"input_types":["provider configuration (API keys, endpoints)","model selection preferences","OpenRouter sorting criteria (throughput, price, latency)"],"output_types":["selected model and provider","routing decisions based on cost/performance criteria"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_4","uri":"capability://data.processing.analysis.context.compression.and.token.optimization","name":"context-compression-and-token-optimization","description":"Cline Chinese implements context compression (mentioned in v3.25.2 changelog) to reduce token usage when sending code context to LLMs. The exact compression algorithm is undocumented, but likely uses techniques like summarization, AST-based code reduction, or selective context inclusion to fit larger codebases within token limits. This enables the AI to reason about larger projects without hitting token limits or incurring excessive API costs.","intents":["I want the AI to work with large codebases without hitting token limits on my LLM provider","I need to reduce API costs by compressing context before sending it to the model","I want the AI to focus on relevant code sections rather than including the entire codebase in every request"],"best_for":["developers working on large monorepos who want AI assistance without token limit issues","cost-conscious teams who want to minimize LLM API spending","projects with extensive dependencies or generated code that should be excluded from context"],"limitations":["Compression algorithm is undocumented — unclear what information is preserved vs. discarded","No user control over compression strategy — cannot configure what to compress or how aggressively","Compression may lose important context, leading to lower-quality AI suggestions","No visibility into compression ratio or token savings — users cannot measure effectiveness","Compression adds latency to each request — unclear if this is noticeable in practice"],"requires":["Large codebase context (compression is most useful for projects >10k LOC)","Active AI model connection"],"input_types":["full codebase context","file paths and directory structure"],"output_types":["compressed context representation","token count reduction metrics (if available)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_5","uri":"capability://tool.use.integration.model.context.protocol.server.integration.with.dynamic.capability.loading","name":"model-context-protocol-server-integration-with-dynamic-capability-loading","description":"Cline Chinese supports Model Context Protocol (MCP) servers, allowing users to extend the AI's capabilities with custom tools, data sources, and integrations. Users can add MCP servers via configuration, and the extension manages server lifecycle (startup, shutdown, error handling). The extension supports dynamic image loading with GIF support and provides a Chinese-focused MCP marketplace at mcp-home.com for discovering available servers. This enables integration with external tools (databases, APIs, file systems) without modifying the extension code.","intents":["I want to extend Cline with custom tools specific to my project or company","I need to integrate with external services (databases, APIs, file systems) through MCP servers","I want to use pre-built MCP servers from the marketplace to add capabilities like web search or database access"],"best_for":["teams building custom AI workflows who want to extend Cline with domain-specific tools","developers integrating with proprietary systems who need MCP server adapters","organizations in China who want to use the Chinese MCP marketplace for localized tools"],"limitations":["MCP server management is manual — no automatic discovery or installation from marketplace","Server failures can block the agentic loop — no built-in retry logic or graceful degradation","No sandboxing or security model for MCP servers — malicious servers could compromise the system","Limited documentation on MCP server development for Cline Chinese specifically","Dynamic image loading (GIF support) may impact performance if servers return large images"],"requires":["MCP server implementation (can be custom or from marketplace)","Server configuration in VS Code settings","Network connectivity to MCP servers (if remote)"],"input_types":["MCP server configuration (URL, credentials, parameters)","tool invocation requests from the AI"],"output_types":["tool results from MCP servers","dynamic content (images, structured data)"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_6","uri":"capability://code.generation.editing.code.error.detection.and.fix.suggestion.via.lightbulb.actions","name":"code-error-detection-and-fix-suggestion-via-lightbulb-actions","description":"Cline Chinese integrates with VS Code's code action system (lightbulb icon) to detect errors in code and propose fixes. When VS Code identifies an error (syntax, linting, type checking), users can click the lightbulb and select 'Fix with Cline' to send the error context to the AI. The AI analyzes the error, proposes a fix, and applies it to the file with user approval. This integrates error fixing into the natural VS Code workflow without requiring context switching.","intents":["I want the AI to fix compilation errors and type errors as I write code","I need the AI to suggest fixes for linting warnings and code style issues","I want to quickly fix errors without manually describing them to the AI"],"best_for":["developers using VS Code's built-in error detection who want AI-assisted fixes","teams using strict linting or type checking who want rapid error remediation","developers learning new languages who want AI to explain and fix errors"],"limitations":["Only works for errors detected by VS Code or installed linters — custom error types are not supported","Fix quality depends on error context — sparse error messages may lead to incorrect fixes","No learning from previous fixes — each error is treated independently","Lightbulb integration may be slow if the AI takes time to analyze the error","No built-in verification that the fix actually resolves the error"],"requires":["VS Code 1.80+ with code action support","Error detection from VS Code, linters, or type checkers","Active AI model connection"],"input_types":["error message and location","surrounding code context","file content"],"output_types":["proposed fix","modified code"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_7","uri":"capability://text.generation.language.chinese.language.optimized.prompt.engineering","name":"chinese-language-optimized-prompt-engineering","description":"Cline Chinese is specifically optimized for Chinese language input and output, with prompts engineered to work effectively with Chinese-language models and Chinese code comments. The project documentation states it prioritizes lightweight LLMs (like DeepSeek-R1-Distill) for Chinese input optimization, suggesting the prompts are tuned for these models' strengths. This enables better code generation and reasoning for Chinese developers and projects with Chinese documentation.","intents":["I want the AI to understand and generate code with Chinese comments and documentation","I need the AI to work effectively with Chinese-language models like DeepSeek and Zhipu GLM","I want prompts optimized for Chinese language semantics rather than generic English prompts"],"best_for":["Chinese developers who want AI assistance in their native language","teams in China using Chinese-language models for compliance or latency reasons","projects with Chinese code comments and documentation that need AI understanding"],"limitations":["Prompt optimization details are not documented — unclear what specific techniques are used","May perform worse on English code or mixed-language projects","Lightweight model optimization may reduce capability for complex reasoning tasks","No explicit support for other Asian languages (Japanese, Korean, etc.)","Chinese-specific optimizations may not transfer to English-language models"],"requires":["Chinese language input (code comments, documentation, instructions)","Chinese-optimized model (DeepSeek, Zhipu GLM, or other Chinese models)"],"input_types":["Chinese language instructions and comments","code with Chinese documentation"],"output_types":["code with Chinese comments","Chinese language explanations"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_8","uri":"capability://memory.knowledge.right.click.context.menu.integration.for.quick.context.injection","name":"right-click-context-menu-integration-for-quick-context-injection","description":"Cline Chinese integrates with VS Code's right-click context menu, allowing users to quickly add selected text or code to the AI's context without opening the extension panel. Users can right-click on selected text in files or terminals and choose 'Add to Cline' to inject that context into the current conversation. This enables rapid context switching and multi-file reasoning without manual copy-paste or context management.","intents":["I want to quickly add selected code to the AI's context without opening the extension panel","I need to reference multiple code snippets from different files in a single AI request","I want to add terminal output or error messages to the AI's context for debugging"],"best_for":["developers who prefer keyboard shortcuts and context menus over UI panels","teams working with multiple files who need rapid context switching","developers debugging issues who want to quickly add error output to the AI"],"limitations":["Context menu integration may be slow if many extensions register context menu items","No built-in deduplication — adding the same context multiple times may confuse the AI","Limited to selected text — cannot add entire files without manual selection","No visual feedback on what context has been added — users must track context manually"],"requires":["VS Code 1.80+ with context menu support","Selected text in editor or terminal"],"input_types":["selected text from files","selected text from terminal output"],"output_types":["context added to AI conversation"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-hybridtalentcomputing-cline-chinese__cap_9","uri":"capability://tool.use.integration.openai.compatible.endpoint.support.with.custom.model.configuration","name":"openai-compatible-endpoint-support-with-custom-model-configuration","description":"Cline Chinese supports OpenAI-compatible API endpoints, allowing users to configure custom LLM providers that implement the OpenAI API specification. This enables integration with local models (via Ollama, LM Studio), self-hosted services, or alternative providers without modifying the extension code. Users configure the endpoint URL and API key in VS Code settings, and the extension handles the rest. Recent fixes (v3.46.6) addressed generation anomalies with OpenAI-compatible endpoints.","intents":["I want to use local LLMs (via Ollama or LM Studio) with Cline without cloud API calls","I need to integrate with a self-hosted LLM service that implements the OpenAI API","I want to use alternative providers (Mistral, Groq, etc.) that support OpenAI-compatible APIs"],"best_for":["developers prioritizing privacy who want to run LLMs locally","teams with self-hosted LLM infrastructure who want to integrate with Cline","developers using alternative providers (Mistral, Groq) that support OpenAI APIs"],"limitations":["Endpoint configuration is manual — no automatic discovery of compatible services","Compatibility issues may arise if the endpoint doesn't fully implement OpenAI's API spec","Local models may be slower or less capable than cloud-based models","No built-in health checks or failover if the endpoint becomes unavailable","Recent fixes (v3.46.6) suggest generation anomalies were common — stability may still be an issue"],"requires":["OpenAI-compatible API endpoint (local or remote)","API key for the endpoint","VS Code settings configuration"],"input_types":["endpoint URL","API key","model name"],"output_types":["LLM responses from custom endpoint"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":45,"verified":false,"data_access_risk":"high","permissions":["VS Code 1.80+ (inferred from extension architecture)","Write permissions on workspace directory","Active AI model connection (OpenAI, Claude, DeepSeek, or other configured provider)","VS Code 1.80+ with integrated terminal support","Shell access (bash, zsh, PowerShell, cmd.exe depending on OS)","Workspace directory with appropriate file system permissions","Dify instance (self-hosted or cloud)","Dify API key and workflow configuration","VS Code settings configuration","Anthropic API key"],"failure_modes":["File operations are sequential, not parallel — large multi-file refactors may require multiple approval cycles","No built-in conflict resolution for concurrent edits if user manually edits files while Cline is proposing changes","Limited to workspace-scoped files — cannot create files outside the open VS Code workspace","No transactional rollback — if a multi-file operation partially fails, manual cleanup may be required","Commands execute in the workspace's default shell — shell-specific syntax may not be portable across Windows/Linux/macOS","No built-in timeout mechanism — long-running commands may block the UI if not managed carefully","Terminal output is captured but not streamed in real-time to the AI — large outputs may be truncated or summarized","No environment variable injection — AI cannot set custom env vars for commands unless they're already in the shell context","Commands run with the user's current permissions — no privilege escalation or sandboxing","Requires Dify infrastructure setup and maintenance","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.67,"quality":0.35,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"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":"2026-05-03T15:20:35.026Z","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=cline-chinese","compare_url":"https://unfragile.ai/compare?artifact=cline-chinese"}},"signature":"ziATz+ayEgcWyOkEbemoP2loqOH1v5W4u9o/hnMl0hZb5CzOtgJO1VQ9FeHA/ikLPEQhDSTqPD4wDp1WDY9dAg==","signedAt":"2026-06-21T18:31:21.064Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/cline-chinese","artifact":"https://unfragile.ai/cline-chinese","verify":"https://unfragile.ai/api/v1/verify?slug=cline-chinese","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"}}