{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-q-chatgpt-for-slack","slug":"q-chatgpt-for-slack","name":"Q, ChatGPT for Slack","type":"product","url":"https://q-bot.suchica.com/","page_url":"https://unfragile.ai/q-chatgpt-for-slack","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-q-chatgpt-for-slack__cap_0","uri":"capability://text.generation.language.slack.native.conversational.ai.assistance","name":"slack-native conversational ai assistance","description":"Integrates a large language model directly into Slack's messaging interface, allowing users to invoke AI responses through natural language queries in channels and direct messages. The system likely uses Slack's Bot API and event subscriptions to capture messages, route them to an LLM backend (presumably OpenAI's GPT models based on the 'ChatGPT for Slack' positioning), and stream responses back into Slack threads or channels with formatting preservation.","intents":["Get quick answers to questions without leaving Slack","Automate routine information requests across team channels","Reduce context-switching by accessing AI assistance in-channel"],"best_for":["Small to medium-sized teams (SMEs) with limited dedicated support staff","Organizations already heavily invested in Slack as their communication hub","Teams seeking to reduce time spent on repetitive Q&A tasks"],"limitations":["Slack's message length limits (4000 characters) may truncate complex responses","No persistent conversation history across Slack workspace restarts without explicit archival","Rate limiting from Slack API and underlying LLM provider may cause delays during high-volume usage","Context window limited to recent Slack messages in thread, not full workspace history"],"requires":["Slack workspace with admin permissions to install third-party apps","Active Slack subscription (free tier may have limited bot integration features)","API credentials for the underlying LLM provider (OpenAI API key or equivalent)"],"input_types":["text (natural language queries in Slack messages)","mentions (direct @Q invocations)","threaded conversations"],"output_types":["text (formatted Slack messages)","markdown (for code blocks, lists, emphasis)","threaded replies"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-q-chatgpt-for-slack__cap_1","uri":"capability://memory.knowledge.multi.channel.message.routing.and.context.awareness","name":"multi-channel message routing and context awareness","description":"Routes user queries from different Slack channels to the LLM backend while maintaining awareness of channel context (topic, participants, recent message history). Implements message event listeners via Slack's Events API to capture mentions, direct messages, and channel posts, then enriches the LLM prompt with relevant channel metadata and recent conversation snippets to improve response relevance.","intents":["Get contextually appropriate answers that reference channel-specific discussions","Use the same AI assistant across multiple team channels without re-explaining context","Ensure responses respect channel norms and topic relevance"],"best_for":["Teams with multiple specialized channels (support, engineering, marketing, etc.)","Organizations where the same question may have different answers depending on channel context","Distributed teams relying on asynchronous Slack communication"],"limitations":["Context window constraints mean only recent messages (typically last 10-20) are included, losing historical context","No semantic understanding of channel purpose — relies on message content alone","Cannot access Slack channel topics, descriptions, or pinned messages without additional API calls","Cross-channel context (e.g., linking discussions in #engineering to #product) not supported"],"requires":["Slack workspace with message read permissions for the bot","Slack Events API enabled and webhook URL configured","Rate limiting tolerance for high-message-volume channels"],"input_types":["text (channel messages)","metadata (channel ID, user ID, timestamp)"],"output_types":["text (contextually relevant responses)","threaded replies (to maintain conversation structure)"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-q-chatgpt-for-slack__cap_2","uri":"capability://memory.knowledge.threaded.conversation.persistence.and.reply.management","name":"threaded conversation persistence and reply management","description":"Maintains conversation threads within Slack by posting AI responses as replies to user queries rather than standalone messages. Uses Slack's thread_ts parameter to anchor responses to original messages, enabling multi-turn conversations where follow-up questions and clarifications stay grouped. Implements state tracking to associate user follow-ups with prior context within the same thread.","intents":["Have multi-turn conversations with the AI without cluttering the main channel","Keep related Q&A exchanges organized and easy to reference later","Allow other team members to follow a conversation thread without interrupting channel flow"],"best_for":["Teams that value clean channel organization and conversation threading","Use cases requiring back-and-forth clarification (troubleshooting, detailed explanations)","Organizations where audit trails of AI-assisted decisions are important"],"limitations":["Thread context is lost if the original message is deleted","No persistent memory across different threads — each thread starts fresh with no cross-thread context","Slack's thread UI limits visibility (threads don't appear in main channel view unless explicitly opened)","No automatic thread summarization or conclusion marking"],"requires":["Slack workspace with message posting permissions","Ability to read and write thread_ts metadata via Slack API"],"input_types":["text (user messages in threads)","thread metadata (thread_ts, parent message ID)"],"output_types":["text (threaded AI responses)","formatted messages (with markdown, code blocks)"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-q-chatgpt-for-slack__cap_3","uri":"capability://tool.use.integration.mention.based.command.invocation.and.permission.scoping","name":"mention-based command invocation and permission scoping","description":"Triggers AI responses when users mention the bot (@Q) in Slack messages, using Slack's mention event type to identify invocations. Implements permission checks to ensure the bot only responds in channels where it's been explicitly added or invited, preventing unsolicited responses in private channels or restricted spaces. Routes mentions through a command parser that may support simple directives (e.g., @Q summarize, @Q explain).","intents":["Explicitly invoke AI assistance only when needed, avoiding always-on monitoring","Control which channels have access to the AI assistant","Use simple commands to direct the AI's response style or focus"],"best_for":["Teams that prefer explicit invocation over passive monitoring","Organizations with strict data governance requiring opt-in per channel","Workspaces with mixed public and private channels where AI access should be controlled"],"limitations":["Requires users to remember to mention the bot — no passive assistance for implicit questions","Command parsing is likely basic (no complex syntax), limiting advanced use cases","Permission model is channel-level only; no per-user or per-message-type granularity","Mention-based invocation adds latency compared to always-listening systems"],"requires":["Slack workspace with bot mention event subscriptions enabled","Bot installed in target channels with appropriate scopes"],"input_types":["text (messages containing @Q mention)","metadata (channel ID, user ID, mention context)"],"output_types":["text (response to mention)","threaded replies"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-q-chatgpt-for-slack__cap_4","uri":"capability://text.generation.language.response.formatting.and.markdown.rendering.in.slack","name":"response formatting and markdown rendering in slack","description":"Formats LLM responses to render correctly within Slack's message constraints, converting markdown, code blocks, and structured data into Slack-compatible formatting. Implements text wrapping, code block syntax highlighting (using Slack's triple-backtick syntax), and link formatting to ensure responses are readable and properly structured within Slack's 4000-character message limit. May implement response truncation or pagination for longer outputs.","intents":["Display code snippets, lists, and formatted text clearly in Slack","Ensure responses don't break Slack's character limits or formatting rules","Make AI responses visually distinct and easy to scan"],"best_for":["Teams that frequently ask for code examples, technical explanations, or structured data","Organizations where response readability directly impacts adoption","Use cases involving code generation or technical documentation"],"limitations":["Slack's 4000-character limit forces truncation of longer responses, potentially losing information","Limited markdown support in Slack (no tables, limited styling) compared to other platforms","Code syntax highlighting is limited to Slack's supported languages","No support for embedded images, videos, or interactive elements within formatted responses"],"requires":["Knowledge of Slack's message formatting API and markdown subset","Logic to detect and handle response length constraints"],"input_types":["text (LLM response output)","structured data (code, lists, tables)"],"output_types":["formatted Slack messages","code blocks with syntax highlighting","markdown-formatted text"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-q-chatgpt-for-slack__cap_5","uri":"capability://automation.workflow.batch.query.processing.and.asynchronous.response.delivery","name":"batch query processing and asynchronous response delivery","description":"Handles multiple concurrent user queries by queuing requests and processing them asynchronously, preventing one slow query from blocking others. Uses Slack's message acknowledgment mechanism to immediately confirm receipt of a query (e.g., emoji reaction), then delivers the AI response asynchronously once the LLM completes processing. Implements backpressure handling to gracefully degrade when LLM latency is high.","intents":["Submit multiple questions to the AI without waiting for each response","Avoid blocking Slack interactions while waiting for LLM processing","Handle traffic spikes without timing out or dropping requests"],"best_for":["Teams with high-volume query patterns (many users asking questions simultaneously)","Scenarios where response latency is acceptable (non-urgent questions)","Organizations using rate-limited LLM APIs (OpenAI, Anthropic) where queuing is necessary"],"limitations":["Asynchronous delivery means users may not see responses immediately, reducing perceived responsiveness","Queue depth and processing time are opaque to users — no visibility into wait times","Failed queries may be silently dropped or require manual retry if error handling is incomplete","Slack's message update API (used for async delivery) has rate limits that could cause delivery delays"],"requires":["Message queue or task processing system (e.g., Redis, RabbitMQ, or cloud function queues)","Asynchronous runtime (Node.js event loop, Python asyncio, etc.)","Slack API rate limit awareness and backoff logic"],"input_types":["text (user queries)","metadata (user ID, channel ID, timestamp)"],"output_types":["acknowledgment (emoji reaction or brief message)","asynchronous response (posted after processing)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-q-chatgpt-for-slack__cap_6","uri":"capability://tool.use.integration.workspace.level.configuration.and.bot.settings.management","name":"workspace-level configuration and bot settings management","description":"Provides configuration interface (likely via Slack slash commands or a web dashboard) for workspace admins to customize bot behavior, including LLM model selection, response tone/style, channel allowlists/blocklists, and API key management. Stores workspace-specific settings in a database keyed by Slack workspace ID, enabling multi-tenant operation where different workspaces can have different configurations.","intents":["Configure which LLM model the bot uses (GPT-3.5, GPT-4, etc.)","Control bot behavior per workspace (tone, response length, allowed channels)","Manage API credentials securely without exposing them to users"],"best_for":["Multi-tenant SaaS deployments serving multiple Slack workspaces","Organizations with strict governance requirements (audit trails, approval workflows)","Teams wanting to customize bot behavior without code changes"],"limitations":["Configuration UI is likely basic (slash commands or simple web form) rather than comprehensive settings dashboard","No real-time configuration updates — changes may require bot restart or cache invalidation","Limited validation of configuration values — invalid settings could cause runtime errors","No audit logging of configuration changes, making compliance tracking difficult"],"requires":["Database for storing workspace-specific settings (SQL, NoSQL, or key-value store)","Slack workspace ID as a tenant identifier","Admin-only access controls to prevent unauthorized configuration changes"],"input_types":["slash commands (e.g., /q-config)","web form inputs","API requests with workspace authentication"],"output_types":["configuration confirmation messages","settings summary or status reports"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-q-chatgpt-for-slack__cap_7","uri":"capability://safety.moderation.error.handling.and.graceful.degradation","name":"error handling and graceful degradation","description":"Implements error handling for common failure modes including LLM API timeouts, rate limiting, Slack API errors, and network failures. Provides user-facing error messages that explain what went wrong without exposing internal details, and implements retry logic with exponential backoff for transient failures. May degrade gracefully by returning cached responses or simplified answers when the LLM is unavailable.","intents":["Understand why a query failed and what to do next","Avoid silent failures that leave users confused","Automatically recover from transient errors without user intervention"],"best_for":["Production deployments where reliability is critical","Teams using rate-limited LLM APIs (OpenAI, Anthropic) where quota exhaustion is common","Organizations with SLA requirements for bot availability"],"limitations":["Error messages may be generic, not providing actionable debugging information","Retry logic may mask underlying issues, delaying problem detection","Graceful degradation (cached responses) may return stale or irrelevant information","No built-in monitoring or alerting — errors are only visible to users, not admins"],"requires":["Retry logic with exponential backoff","Error classification (transient vs. permanent)","User-facing error message templates","Optional: cache for fallback responses"],"input_types":["error responses from LLM API","Slack API errors","network timeouts"],"output_types":["user-friendly error messages","retry confirmations","fallback responses"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-q-chatgpt-for-slack__cap_8","uri":"capability://safety.moderation.user.identity.and.permission.verification","name":"user identity and permission verification","description":"Verifies user identity by extracting user ID from Slack events and cross-referencing with Slack's user directory. Implements permission checks to ensure users can only invoke the bot in channels where it's been installed and to prevent unauthorized access to workspace-level configuration. May implement role-based access control (RBAC) to restrict certain features (e.g., configuration) to workspace admins.","intents":["Ensure only authorized users can configure the bot","Prevent unauthorized access to sensitive queries or channels","Maintain audit trails of who used the bot and when"],"best_for":["Organizations with strict access control requirements","Workspaces with mixed public and private channels requiring granular permissions","Compliance-sensitive industries (healthcare, finance) requiring audit trails"],"limitations":["Permission model is limited to Slack's built-in roles (admin, member) — no custom roles","No per-query audit logging — only channel-level access is tracked","User identity is tied to Slack user ID, which may not map to external identity systems","No support for service accounts or bot-to-bot authentication"],"requires":["Slack user ID extraction from events","Slack API calls to verify user roles and channel membership","Database for storing user-to-role mappings (if custom RBAC is implemented)"],"input_types":["Slack user ID","Slack channel ID","Slack workspace ID"],"output_types":["permission grant/deny decision","audit log entries"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"high","permissions":["Slack workspace with admin permissions to install third-party apps","Active Slack subscription (free tier may have limited bot integration features)","API credentials for the underlying LLM provider (OpenAI API key or equivalent)","Slack workspace with message read permissions for the bot","Slack Events API enabled and webhook URL configured","Rate limiting tolerance for high-message-volume channels","Slack workspace with message posting permissions","Ability to read and write thread_ts metadata via Slack API","Slack workspace with bot mention event subscriptions enabled","Bot installed in target channels with appropriate scopes"],"failure_modes":["Slack's message length limits (4000 characters) may truncate complex responses","No persistent conversation history across Slack workspace restarts without explicit archival","Rate limiting from Slack API and underlying LLM provider may cause delays during high-volume usage","Context window limited to recent Slack messages in thread, not full workspace history","Context window constraints mean only recent messages (typically last 10-20) are included, losing historical context","No semantic understanding of channel purpose — relies on message content alone","Cannot access Slack channel topics, descriptions, or pinned messages without additional API calls","Cross-channel context (e.g., linking discussions in #engineering to #product) not supported","Thread context is lost if the original message is deleted","No persistent memory across different threads — each thread starts fresh with no cross-thread context","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.28,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.047Z","last_scraped_at":"2026-05-03T14:00:10.321Z","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=q-chatgpt-for-slack","compare_url":"https://unfragile.ai/compare?artifact=q-chatgpt-for-slack"}},"signature":"VIgD5f3rp2Ftro6uatsGX0QISoh82OzTARipWD9C8tWVcWtdYyaItRDpSAfSQcudtff9OHfBF3pfUD09bbM3Cg==","signedAt":"2026-06-22T06:46:34.131Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/q-chatgpt-for-slack","artifact":"https://unfragile.ai/q-chatgpt-for-slack","verify":"https://unfragile.ai/api/v1/verify?slug=q-chatgpt-for-slack","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"}}