{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-silasnevstad-gpthelper","slug":"gpt","name":"GPT","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=SilasNevstad.gpthelper","page_url":"https://unfragile.ai/gpt","categories":["code-editors"],"tags":["keybindings"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-silasnevstad-gpthelper__cap_0","uri":"capability://code.generation.editing.selection.based.ai.text.transformation.with.in.place.replacement","name":"selection-based ai text transformation with in-place replacement","description":"Captures user-selected text in the VS Code editor, sends it to a configured LLM (OpenAI, Anthropic, or Gemini), and replaces the selection with the model's response in-place. Uses VS Code's TextEditor API to read selection boundaries and apply edits atomically, with configurable output modes (replace vs. new file). Integrates via keyboard shortcut (Alt+Shift+I by default) and Command Palette for frictionless invocation.","intents":["I want to refactor a code snippet without leaving my editor","I need to quickly transform selected text using an AI model","I want to fix or improve code inline without creating new files"],"best_for":["solo developers iterating on code snippets","teams using AI for inline code review and refactoring","developers who prefer keyboard-driven workflows"],"limitations":["Only operates on active selection; cannot process multiple non-contiguous selections","No undo history for AI transformations beyond VS Code's standard undo (single step)","Large selections may hit token limits depending on configured model and token limit setting"],"requires":["VS Code installed (minimum version unknown)","API key for at least one supported provider (OpenAI, Anthropic, or Gemini)","Active text selection in editor"],"input_types":["text","code (any language)"],"output_types":["text","code"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-silasnevstad-gpthelper__cap_1","uri":"capability://code.generation.editing.file.level.ai.analysis.and.transformation","name":"file-level ai analysis and transformation","description":"Processes an entire active file (not just selection) by sending its full content to the configured LLM, enabling whole-file operations like refactoring, code audits, or explanations. Accessible via dedicated `Ask GPT with File` command. Output can replace the file in-place or create a new file, configurable via `GPT: Change Output Mode`. Respects token limits and may truncate very large files in remote/virtual workspaces for safety.","intents":["I want to refactor an entire file at once","I need a full-file code audit or explanation","I want to transform a file's structure or style globally"],"best_for":["developers refactoring legacy files","teams performing large-scale code migrations","developers seeking comprehensive file-level analysis"],"limitations":["Very large files may be ignored in remote/virtual workspaces for safety","File content is truncated if it exceeds configured token limits","No incremental processing; entire file must be sent to LLM in one request","Output mode (replace vs. new file) is global; cannot vary per invocation"],"requires":["VS Code installed","API key for configured provider","Active file open in editor","File size within token limit constraints"],"input_types":["code (any language)","text"],"output_types":["code","text"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-silasnevstad-gpthelper__cap_10","uri":"capability://safety.moderation.debug.logging.with.intentional.secret.exclusion","name":"debug logging with intentional secret exclusion","description":"Provides debug logging for troubleshooting extension behavior, with intentional exclusion of API keys, secrets, and full prompt contents to prevent accidental credential exposure. Debug logs can be accessed via VS Code's Output panel. Enables developers to diagnose issues without risking credential leakage in logs.","intents":["I want to troubleshoot extension behavior without exposing API keys","I need to debug configuration issues safely","I want to understand what the extension is doing without security risks"],"best_for":["developers troubleshooting extension issues","teams with security policies requiring safe logging","developers debugging configuration problems"],"limitations":["Debug log format and verbosity level are not documented","No way to enable/disable debug logging; always on (may impact performance)","Excluded content (secrets, prompts) makes some issues harder to diagnose","No log rotation or size limits; logs may grow unbounded during long sessions","No structured logging; logs are likely unstructured text, making parsing difficult"],"requires":["VS Code installed","Access to Output panel (Ctrl+Shift+U)"],"input_types":["extension behavior (implicit)"],"output_types":["debug log entries (text)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-silasnevstad-gpthelper__cap_2","uri":"capability://memory.knowledge.workspace.scoped.instruction.injection.via.gpt.instruction.files","name":"workspace-scoped instruction injection via .gpt-instruction files","description":"Automatically discovers and prepends project-level instructions from `.gpt-instruction` files in the workspace root or parent directories to every AI query. Supports two lookup modes: `workspaceRoot` (reads from workspace folder root) and `nearestParent` (uses closest parent file, more expensive in large repos). Empty `.gpt-instruction` files suppress parent instructions. Content beyond configured max size is truncated with warning. Enables consistent project-wide prompting without manual instruction repetition.","intents":["I want to enforce coding standards across all AI-assisted edits in my project","I need to inject project-specific context (architecture, style guide) into every AI query","I want to disable project instructions for a specific folder without deleting the file"],"best_for":["teams maintaining consistent code style across projects","projects with complex architectural constraints or domain-specific conventions","multi-root workspaces requiring per-folder instruction customization"],"limitations":["Lookup mode `nearestParent` uses recursive file system watcher, expensive in very large repos (100k+ files)","Instructions beyond configured max size are silently truncated with warning; no overflow handling","Very large `.gpt-instruction` files may be ignored in remote/virtual workspaces for safety","No UI for editing `.gpt-instruction` files; requires manual file creation/editing","No versioning or history tracking for instruction changes"],"requires":["VS Code installed","`.gpt-instruction` file created in workspace root or parent directory","Lookup mode configured (default: `workspaceRoot`)"],"input_types":["text (plain text instructions)"],"output_types":["injected prompt prefix (internal)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-silasnevstad-gpthelper__cap_3","uri":"capability://tool.use.integration.multi.provider.llm.abstraction.with.runtime.provider.switching","name":"multi-provider llm abstraction with runtime provider switching","description":"Abstracts OpenAI, Anthropic, and Google Gemini APIs behind a unified interface, allowing users to switch providers and models at runtime via `GPT: Change Provider` and `GPT: Change Model` commands. Maintains separate API keys per provider in VS Code SecretStorage. Supports built-in model lists per provider and custom model IDs. Model list can be refreshed online (requires API key). No code changes required to switch providers; configuration is entirely UI-driven.","intents":["I want to compare outputs from different LLM providers without switching tools","I need to use a specific model from a different provider for cost or capability reasons","I want to test a new model without reconfiguring my entire setup"],"best_for":["developers evaluating multiple LLM providers","teams with multi-provider contracts or cost optimization strategies","researchers comparing model outputs across providers"],"limitations":["Model list per provider is static unless manually refreshed online (requires API key)","Custom model IDs must be entered manually; no validation against provider's actual models","No automatic fallback if primary provider is unavailable; user must manually switch","Provider-specific features (e.g., vision, function calling) are not abstracted; users must understand provider differences","Specific model names/versions not documented; users must know model IDs externally"],"requires":["VS Code installed","API key for at least one supported provider (OpenAI, Anthropic, or Gemini)","Internet connection for model list refresh (optional)"],"input_types":["provider selection (UI)","model ID (text)"],"output_types":["provider configuration (internal)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-silasnevstad-gpthelper__cap_4","uri":"capability://safety.moderation.secure.api.key.management.with.secretstorage.persistence.and.session.fallback","name":"secure api key management with secretstorage persistence and session fallback","description":"Stores API keys for OpenAI, Anthropic, and Gemini in VS Code SecretStorage (encrypted, OS-level credential store) when available. Falls back to session-only storage if SecretStorage is unavailable (e.g., in certain remote setups). Automatically migrates legacy OpenAI keys from globalState to SecretStorage on first run. Provides dedicated `GPT: Set API Key` and `GPT: Manage API Keys` commands for fast-path and bulk key management. Debug logs intentionally exclude secrets to prevent accidental exposure.","intents":["I want to securely store API keys without hardcoding them","I need to manage API keys for multiple providers in one place","I want to ensure my API keys are not exposed in debug logs or version control"],"best_for":["developers working with sensitive API credentials","teams with security policies requiring encrypted credential storage","developers migrating from legacy OpenAI key storage"],"limitations":["SecretStorage availability depends on VS Code version and platform; fallback to session-only storage may lose keys on restart","No key rotation or expiration management; users must manually update keys","No audit log for key access or changes","Keys are not synced across VS Code instances (e.g., different machines)","Migration from globalState is one-time only; no rollback mechanism"],"requires":["VS Code installed (SecretStorage support varies by version)","API key from OpenAI, Anthropic, or Gemini"],"input_types":["API key (text)"],"output_types":["encrypted credential storage (internal)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-silasnevstad-gpthelper__cap_5","uri":"capability://automation.workflow.configurable.output.mode.switching.in.place.replacement.vs.new.file.creation","name":"configurable output mode switching (in-place replacement vs. new file creation)","description":"Allows users to toggle between two output modes via `GPT: Change Output Mode` command: (1) Replace Selection/File — overwrites the original text with AI response, or (2) New File — creates a new file with the response, leaving original untouched. Mode is global and applies to all subsequent queries until changed. Enables flexible workflows: destructive edits for refactoring, non-destructive for comparison or review.","intents":["I want to compare AI output with the original before committing changes","I need to replace code in-place for quick refactoring","I want to generate alternative versions without losing the original"],"best_for":["developers who prefer non-destructive workflows","teams performing code reviews with AI assistance","developers iterating on multiple AI-generated alternatives"],"limitations":["Output mode is global; cannot vary per invocation (e.g., always replace for refactoring, always new file for generation)","New file mode does not auto-open the generated file; user must manually open it","No naming convention for generated files; users must manually rename or organize","No diff view between original and AI output; comparison requires manual side-by-side editing"],"requires":["VS Code installed","API key for configured provider"],"input_types":["mode selection (UI)"],"output_types":["file edit (in-place) or new file (on disk)"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-silasnevstad-gpthelper__cap_6","uri":"capability://automation.workflow.configurable.token.limit.enforcement.with.truncation.warnings","name":"configurable token limit enforcement with truncation warnings","description":"Allows users to set a maximum token limit for AI queries via `GPT: Change Token Limit` command. When input (selection, file, or instructions) exceeds the limit, content is truncated with a warning displayed to the user. Prevents accidental API errors or excessive costs from oversized requests. Token limit is configurable per session but defaults are not documented.","intents":["I want to prevent accidental API calls with huge files that would be expensive","I need to enforce token budgets for my team's API usage","I want to be warned before sending truncated content to the LLM"],"best_for":["developers managing API costs","teams with strict token budgets","developers working with large codebases"],"limitations":["Token limit defaults and ranges are not documented","Truncation is silent except for a warning; no preview of what will be truncated","No per-provider token limit customization (e.g., different limits for GPT-4 vs. GPT-3.5)","Token counting may not be exact; depends on provider's tokenizer","No way to exclude certain content (e.g., always include instructions, truncate file content)"],"requires":["VS Code installed","Token limit configured via `GPT: Change Token Limit` command"],"input_types":["token limit (numeric)"],"output_types":["truncation enforcement (internal)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-silasnevstad-gpthelper__cap_7","uri":"capability://automation.workflow.keyboard.driven.command.invocation.via.command.palette.and.custom.keybindings","name":"keyboard-driven command invocation via command palette and custom keybindings","description":"Exposes all extension functionality through VS Code Command Palette (Ctrl+Shift+P) with named commands (e.g., `Ask GPT`, `GPT: Setup`, `GPT: Change Model`). Provides default keyboard shortcut (Alt+Shift+I) for the primary `Ask GPT` command, fully customizable via VS Code keybindings settings. Enables power-user workflows without mouse interaction or menu navigation.","intents":["I want to invoke AI queries without leaving the keyboard","I need to customize keybindings for my workflow","I want to discover available commands via Command Palette"],"best_for":["power users and keyboard-driven developers","teams with custom keybinding conventions","developers in terminal-heavy workflows"],"limitations":["Default keybinding (Alt+Shift+I) may conflict with other extensions or OS shortcuts","Command Palette discovery requires knowledge of command names; no built-in help or descriptions","No command grouping or hierarchy in Command Palette; all commands appear flat","Keybinding customization requires manual VS Code settings editing; no UI for binding management"],"requires":["VS Code installed","Knowledge of command names or access to Command Palette"],"input_types":["keyboard input (command invocation)"],"output_types":["command execution (internal)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-silasnevstad-gpthelper__cap_8","uri":"capability://memory.knowledge.multi.root.workspace.awareness.with.per.folder.instruction.resolution","name":"multi-root workspace awareness with per-folder instruction resolution","description":"Supports VS Code multi-root workspaces, resolving `.gpt-instruction` files per workspace folder based on the active document's location. Enables different instruction sets for different projects within the same VS Code window. Respects workspace folder boundaries when looking up instructions, preventing cross-folder instruction leakage.","intents":["I want to use different coding standards for different projects in the same VS Code window","I need to manage instructions per folder in a monorepo","I want to isolate project-specific context to avoid cross-project contamination"],"best_for":["developers working with monorepos","teams managing multiple projects in one VS Code instance","projects with folder-specific conventions or standards"],"limitations":["Instruction resolution is based on active document location; ambiguous if document is not saved","No UI for viewing which instruction file is active for the current document","No conflict resolution if multiple workspace folders have overlapping instruction files","Very large `.gpt-instruction` files may be ignored in remote/virtual workspaces"],"requires":["VS Code installed with multi-root workspace support","Multiple workspace folders configured","`.gpt-instruction` files in relevant workspace folders"],"input_types":["workspace folder structure (implicit)"],"output_types":["per-folder instruction injection (internal)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-silasnevstad-gpthelper__cap_9","uri":"capability://memory.knowledge.session.based.chat.history.with.manual.export.capability","name":"session-based chat history with manual export capability","description":"Maintains in-memory chat history during the current VS Code session, allowing users to reference previous queries and responses. No automatic persistence to disk; history is lost on VS Code restart. Users can manually export chat history for external storage or review. Enables conversation continuity within a session without requiring persistent storage infrastructure.","intents":["I want to reference previous AI queries and responses during my session","I need to export chat history for documentation or review","I want to avoid losing context when switching between files"],"best_for":["developers working on extended tasks within a single session","teams documenting AI-assisted development decisions","developers who prefer session-scoped context over persistent history"],"limitations":["No automatic persistence; history is lost on VS Code restart or extension reload","No UI for viewing or searching chat history; manual export required for review","No conversation threading or organization; all queries are in a flat list","Export format is not documented; users must understand export output structure","No privacy controls; exported history may contain sensitive code or API keys if not filtered"],"requires":["VS Code installed","Active session with at least one AI query"],"input_types":["AI query and response (internal)"],"output_types":["exported chat history (format unknown)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"high","permissions":["VS Code installed (minimum version unknown)","API key for at least one supported provider (OpenAI, Anthropic, or Gemini)","Active text selection in editor","VS Code installed","API key for configured provider","Active file open in editor","File size within token limit constraints","Access to Output panel (Ctrl+Shift+U)","`.gpt-instruction` file created in workspace root or parent directory","Lookup mode configured (default: `workspaceRoot`)"],"failure_modes":["Only operates on active selection; cannot process multiple non-contiguous selections","No undo history for AI transformations beyond VS Code's standard undo (single step)","Large selections may hit token limits depending on configured model and token limit setting","Very large files may be ignored in remote/virtual workspaces for safety","File content is truncated if it exceeds configured token limits","No incremental processing; entire file must be sent to LLM in one request","Output mode (replace vs. new file) is global; cannot vary per invocation","Debug log format and verbosity level are not documented","No way to enable/disable debug logging; always on (may impact performance)","Excluded content (secrets, prompts) makes some issues harder to diagnose","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.32,"ecosystem":0.18,"match_graph":0.25,"freshness":0.75,"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":"2026-05-03T15:20:39.869Z","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=gpt","compare_url":"https://unfragile.ai/compare?artifact=gpt"}},"signature":"rVDkXTudTWh+OoPDpNJJb+XReLjTpJvPJzPs8W6k2xslZFv6/VhMvtRa6MK7T3hMddCUpN6bBO185jac0ysSAg==","signedAt":"2026-06-22T03:55:56.412Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/gpt","artifact":"https://unfragile.ai/gpt","verify":"https://unfragile.ai/api/v1/verify?slug=gpt","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"}}