{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_q-slack-chatbot","slug":"q-slack-chatbot","name":"Q Slack Chatbot","type":"skill","url":"https://q-bot.suchica.com","page_url":"https://unfragile.ai/q-slack-chatbot","categories":["chatbots-assistants","documentation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_q-slack-chatbot__cap_0","uri":"capability://text.generation.language.thread.aware.conversational.ai.with.streaming.responses","name":"thread-aware conversational ai with streaming responses","description":"Processes @mentions in Slack threads by reading only the conversation thread containing the mention, maintaining context from prior messages in that thread, and streaming responses back to Slack with millisecond-to-second latency. Uses OpenAI GPT (model version unclear, marketed as 'GPT-5.2') or Anthropic Claude 200K depending on token requirements, with automatic model switching when input exceeds 16K tokens. Supports simultaneous multiple requests unlike ChatGPT's sequential 50-per-3-hour rate limit.","intents":["I want to ask follow-up questions about a Slack conversation without leaving the thread or copying context elsewhere","I need AI assistance on multiple topics in parallel within my Slack workspace without hitting rate limits","I want real-time streaming responses that feel interactive rather than waiting for full completion"],"best_for":["Slack-native teams who want LLM access without individual ChatGPT subscriptions","Small to mid-sized organizations seeking lightweight AI assistance integrated into existing chat workflows","Teams that need simultaneous parallel requests without per-user rate limiting"],"limitations":["Reads only the thread where @mentioned, not workspace-wide history — cannot aggregate context from multiple channels","Token limits of 16K (GPT) or 200K (Claude) per request constrain analysis of very large documents or long conversations","Model version 'GPT-5.2' is non-standard nomenclature; actual underlying model unclear and may not be latest OpenAI release","No streaming to external systems — responses remain in Slack only, cannot be piped to other tools","Latency described as 'milliseconds to seconds' without p99 SLA or performance guarantees"],"requires":["Slack workspace with admin approval to install bot from marketplace","Active Q subscription (free 14-day trial available, no credit card required)","OpenAI or Anthropic API key provisioned by Q backend (user does not manage directly)"],"input_types":["text (natural language messages)","URLs (embedded in message)","file attachments (PDF, images, documents)"],"output_types":["text (streamed Slack messages)","formatted text with markdown"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_q-slack-chatbot__cap_1","uri":"capability://data.processing.analysis.multi.source.document.and.url.content.extraction.with.format.agnostic.parsing","name":"multi-source document and url content extraction with format-agnostic parsing","description":"Extracts and analyzes content from diverse sources (web URLs, PDFs, Google Workspace files, YouTube captions, arXiv papers, Notion pages, uploaded files) by sending extracted text/metadata to LLM backend for analysis. Supports public HTTP/HTTPS URLs, direct PDF links, and OAuth-authenticated Google Docs/Sheets/Slides (per-user OAuth, not workspace service account). YouTube extraction includes standard videos, shorts, and live streams via caption parsing. File uploads support PDF, images, Excel, PowerPoint, Word, CSV, plain text, code files, audio, and video (formats unspecified).","intents":["I want to ask Q to summarize a URL or PDF without copying text manually into Slack","I need to analyze a Google Doc or Sheet that my team uses without leaving Slack","I want to extract insights from YouTube videos, academic papers, or Notion pages directly in Slack conversation"],"best_for":["Teams using Google Workspace who want document analysis without context-switching","Knowledge workers analyzing URLs, PDFs, and research papers as part of daily Slack workflows","Organizations with mixed content sources (web, academic, internal docs) needing unified analysis interface"],"limitations":["URL readers require public URLs or user-provided authentication — no service account patterns for workspace-level document access","Google Workspace OAuth is per-user, not workspace-level, requiring each user to authenticate separately","Audio and video file formats are unspecified; actual supported codecs unknown","YouTube, arXiv, and Notion access methods (API vs. scraping) are undocumented, creating uncertainty about reliability and compliance","No automatic workspace file scanning — files must be manually uploaded or linked","Slack file attachments are not auto-read; must be explicitly provided in message body"],"requires":["Slack workspace with Q bot installed","Active Q subscription (Standard tier or higher for URL analysis)","For Google Workspace: per-user OAuth connection via Q settings panel","For URLs: publicly accessible HTTP/HTTPS endpoints or direct PDF links"],"input_types":["URL (http/https, including direct PDF links)","YouTube URLs (standard videos, shorts, live streams)","Google Docs, Sheets, Slides (OAuth-authenticated)","arXiv paper URLs","Notion page/database URLs","File uploads (PDF, images, Excel, PowerPoint, Word, CSV, text, code, audio, video)"],"output_types":["text (analysis, summary, extracted data)","formatted markdown with citations"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_q-slack-chatbot__cap_10","uri":"capability://text.generation.language.slack.message.editing.with.automatic.re.invocation.for.query.refinement","name":"slack message editing with automatic re-invocation for query refinement","description":"Allows users to edit the original @mention message and automatically re-invoke Q with the modified input, enabling query refinement without re-typing. When a user edits a message that previously invoked Q, the system detects the edit and generates a new response based on the updated message content. This enables iterative refinement of questions within the same thread.","intents":["I want to refine my question to Q by editing my original message instead of typing a new one","I want to correct a typo in my question and get a new response without re-typing","I want to iterate on my question within the same thread without cluttering with multiple messages"],"best_for":["Users iterating on questions and refining queries","Teams wanting to keep threads clean without multiple similar messages","Users who prefer editing over re-typing for query refinement"],"limitations":["Edit detection mechanism undocumented — unclear how quickly Q detects message edits","No edit history — previous responses are replaced, not preserved","Edit window unclear — may not work if message is edited after a certain time period","No diff or change highlighting — Q may not understand what changed in the edit","Editing removes previous response — cannot compare old vs. new responses side-by-side","No undo for edits — if edit produces unwanted response, must manually revert"],"requires":["Active Q subscription","Slack workspace with Q bot installed","Original @mention message that invoked Q"],"input_types":["edited Slack message text"],"output_types":["new response based on edited message"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_q-slack-chatbot__cap_2","uri":"capability://text.generation.language.workspace.level.custom.instruction.templates.with.persistent.context.injection","name":"workspace-level custom instruction templates with persistent context injection","description":"Stores and applies workspace-level instruction templates that are automatically injected into every Q response, allowing teams to define consistent guidelines for email tone, translation rules, content generation style, or coding standards. Templates are defined once in the Q settings panel and applied to all users in the workspace without per-user configuration. Instructions persist across conversations and are re-applied on every invocation.","intents":["I want all Q responses in my workspace to follow a specific email tone or writing style without repeating instructions","I need Q to always translate outputs to a specific language or format for my team","I want to enforce coding standards or architectural patterns in code generated by Q across my entire workspace"],"best_for":["Teams with standardized workflows (e.g., customer support, content creation) needing consistent AI behavior","Organizations with coding standards or architectural guidelines wanting to enforce them via AI","Multilingual teams needing consistent translation or localization rules"],"limitations":["Templates are workspace-level only — cannot be customized per-user or per-channel","No versioning or rollback mechanism documented; changes apply immediately to all users","No template inheritance or composition — each template is independent","Instruction complexity limits unknown; very long or complex instructions may exceed token budgets","No audit trail of template changes or who modified them"],"requires":["Slack workspace admin access to Q settings panel","Active Q subscription (tier requirement unclear)","Understanding of how to phrase instructions for LLM consumption"],"input_types":["text (instruction templates defined in settings UI)"],"output_types":["text (responses with injected instructions applied)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_q-slack-chatbot__cap_3","uri":"capability://search.retrieval.integrated.web.search.with.configurable.result.limits","name":"integrated web search with configurable result limits","description":"Augments Q responses with Google Search results by querying the Google Search API and including 3 results (Entry tier), 5 results (Standard tier), or 10 results (Premium tier) in the LLM context before generating responses. Search integration method (API vs. scraping), result ranking, freshness guarantees, and query construction logic are undocumented. Scope of search (web-wide vs. workspace-specific) is unclear.","intents":["I want Q to search the web and include current information in responses without manually providing URLs","I need Q to find recent news, documentation, or data relevant to my question","I want Q to cite sources from web search results in its responses"],"best_for":["Teams needing current information (news, documentation, API changes) in Q responses","Organizations where Q needs to supplement knowledge cutoff with real-time web data","Users asking questions about recent events or rapidly changing topics"],"limitations":["Search result limits are tier-dependent (3-10 results) — insufficient for comprehensive research","Search integration method undocumented — unclear if using official Google Search API or alternative","No control over search query construction — Q decides what to search for, user cannot override","Result freshness and ranking criteria unknown; no SLA on recency","No ability to restrict search to specific domains, date ranges, or content types","Search scope unclear — appears to be web-wide, not workspace-specific or document-scoped","No citation format or source attribution documented"],"requires":["Active Q subscription with search enabled (Standard tier or higher)","Google Search API provisioned by Q backend (user does not manage)"],"input_types":["text (natural language query)"],"output_types":["text (response with search results incorporated)","URLs (search result links, format unclear)"],"categories":["search-retrieval","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_q-slack-chatbot__cap_4","uri":"capability://text.generation.language.response.control.and.token.optimization.with.regenerate.continue.and.delete.actions","name":"response control and token optimization with regenerate, continue, and delete actions","description":"Provides post-generation response controls including stop (halt streaming mid-response), continue (extend response), regenerate (new response from same input), delete (remove response and save tokens), and edit-to-regenerate (modify original @mention message to re-invoke Q with new input). These controls allow users to optimize token usage and refine responses without re-typing queries. Delete action explicitly saves tokens by removing the response from context.","intents":["I want to stop a response that's going in the wrong direction without waiting for completion","I want to ask Q to extend a response that was cut off or incomplete","I want to regenerate a response without re-typing my question","I want to save tokens by deleting a response I don't need"],"best_for":["Users on token-limited plans who want to optimize usage","Teams iterating on Q responses and refining outputs","Users with slow network connections who want to halt streaming responses"],"limitations":["Stop button only works during streaming — cannot halt completed responses","Continue button behavior unclear — does not specify if it extends from last token or regenerates full response","Delete action removes response from Slack but unclear if it removes from Q's backend logs or OpenAI's 30-day retention","Edit-to-regenerate requires modifying the original @mention message — not intuitive for all users","No batch regeneration — must regenerate responses one at a time","Token savings from delete are unclear — may not reduce API costs if OpenAI has already processed the request"],"requires":["Active Q subscription","Slack workspace with Q bot installed","Streaming response in progress (for stop button)"],"input_types":["UI button clicks (stop, continue, regenerate, delete)","text edits (edit-to-regenerate)"],"output_types":["text (modified or regenerated response)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_q-slack-chatbot__cap_5","uri":"capability://text.generation.language.multi.language.support.with.automatic.language.detection.and.translation","name":"multi-language support with automatic language detection and translation","description":"Supports input and output in 'almost all languages' (exact language list undocumented) with automatic detection of input language and generation of responses in the same language. Language support is claimed to be comprehensive but no specific language list, character encoding support, or RTL (right-to-left) language handling is documented. Implementation approach (language detection model, translation layer, or native multilingual LLM) is unknown.","intents":["I want to ask Q in my native language without translating to English","I need Q to respond in a language other than English for my team","I want Q to automatically detect the language I'm using and respond in kind"],"best_for":["Multilingual teams working in non-English languages","Organizations with international teams needing language-agnostic AI assistance","Users in non-English-speaking regions"],"limitations":["Language list is undocumented — unclear which languages are supported and which are not","Language detection method unknown — may fail on code-heavy or mixed-language inputs","No explicit language selection UI — relies on automatic detection which may be unreliable","RTL language support (Arabic, Hebrew, Farsi) not mentioned — may have rendering issues in Slack","Character encoding support unclear — may not handle all Unicode scripts","Translation quality not documented — no accuracy metrics or comparison to translation services","Custom Instructions may not work reliably across all languages"],"requires":["Active Q subscription","Slack workspace with Q bot installed"],"input_types":["text in any supported language"],"output_types":["text in detected input language"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_q-slack-chatbot__cap_6","uri":"capability://automation.workflow.workspace.level.billing.and.user.assignment.with.per.workspace.subscription.model","name":"workspace-level billing and user assignment with per-workspace subscription model","description":"Implements workspace-level billing where a single subscription covers all users in a Slack workspace, with admin controls to assign specific users to different subscription tiers (Entry, Standard, Premium). Billing is managed at the workspace level, not per-user, allowing teams to share a single subscription. Uninstalling the bot immediately cancels all subscriptions with no mid-term refund option. Free 14-day trial available without credit card; can re-trial for 7+ days after expiration by reinstalling.","intents":["I want to provide AI access to my entire Slack workspace without managing individual subscriptions","I want to assign different users to different subscription tiers based on their needs","I want to try Q for free before committing to a paid plan"],"best_for":["Small to mid-sized teams wanting shared AI access without per-user costs","Organizations with variable user needs (some users need Premium, others Entry)","Teams evaluating Q before committing to paid plans"],"limitations":["Workspace-level billing only — cannot split costs within workspace or bill per-user","Uninstalling immediately cancels all subscriptions — no grace period or data export","No mid-term refunds documented — unclear if cancellation within billing cycle is refundable","User assignment mechanism unclear — no documentation on how admins assign users to tiers","No usage-based billing or consumption tracking — all users in a tier have same limits","Free trial can be re-triggered by reinstalling, creating potential for abuse","Pricing structure between tiers is unclear — feature gates and limits not documented"],"requires":["Slack workspace admin access","Valid payment method for paid tiers (credit card assumed)"],"input_types":["admin configuration (user tier assignment)"],"output_types":["billing invoice, subscription status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_q-slack-chatbot__cap_7","uri":"capability://text.generation.language.automatic.model.selection.and.token.budget.management.with.fallback.to.claude.200k","name":"automatic model selection and token budget management with fallback to claude 200k","description":"Automatically switches between OpenAI GPT (marketed as 'GPT-5.2', actual model unclear) with 16K token limit and Anthropic Claude 200K with 200K token limit based on input size and token budget. When a request exceeds 16K tokens, the system automatically routes to Claude 200K without user intervention. Token optimization is performed transparently to maximize context window usage while staying within model limits.","intents":["I want to analyze large documents without worrying about token limits","I want Q to automatically choose the best model for my request without manual selection","I want to use Claude's longer context window when needed without switching tools"],"best_for":["Teams analyzing large documents or long conversations that exceed 16K tokens","Users who want transparent model selection without manual intervention","Organizations needing flexibility between faster (GPT) and longer-context (Claude) models"],"limitations":["Model version 'GPT-5.2' is non-standard nomenclature — actual OpenAI model unclear and may not be latest release","Switching logic is undocumented — unclear what token threshold triggers Claude fallback","No user control over model selection — automatic switching may not match user preferences","Claude 200K has different behavior and output quality than GPT — switching may produce inconsistent results","Token counting method unknown — may not accurately predict when switching occurs","No cost transparency — users cannot see which model was used or cost difference","Claude fallback may have higher latency than GPT, creating unpredictable response times"],"requires":["Active Q subscription","Slack workspace with Q bot installed"],"input_types":["text (any size, automatic routing based on token count)"],"output_types":["text (response from selected model)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_q-slack-chatbot__cap_8","uri":"capability://tool.use.integration.slack.oauth.integration.with.per.user.google.workspace.authentication","name":"slack oauth integration with per-user google workspace authentication","description":"Integrates with Slack's OAuth flow for workspace installation and provides per-user OAuth connections to Google Workspace (Docs, Sheets, Slides) via a settings panel. Each user must authenticate separately with Google to enable document access; no workspace-level service account is available. OAuth tokens are managed by Q backend; user does not handle credentials directly. Authentication state is persistent across sessions.","intents":["I want to authorize Q to read my Google Docs without sharing credentials","I want to analyze Google Sheets and Slides from Slack without copying content manually","I want Q to access my Google Workspace files securely via OAuth"],"best_for":["Teams using Google Workspace who want document analysis in Slack","Organizations with per-user Google accounts needing individual OAuth flows","Users comfortable with OAuth authentication and third-party app permissions"],"limitations":["OAuth is per-user, not workspace-level — each user must authenticate separately","No workspace service account support — cannot access shared drives or team folders without individual user access","OAuth token refresh mechanism undocumented — unclear how long tokens remain valid","No token revocation UI documented — users may not know how to disconnect Google access","Google Workspace access is read-only — Q cannot modify documents","OAuth scope permissions undocumented — unclear what Google Workspace permissions Q requests","No audit trail of which users accessed which documents via Q"],"requires":["Slack workspace with Q bot installed","Google account with access to Google Docs, Sheets, or Slides","Q settings panel access to initiate OAuth flow"],"input_types":["OAuth authorization (user grants permission via Google login)"],"output_types":["authenticated session token (managed by Q backend)"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_q-slack-chatbot__cap_9","uri":"capability://safety.moderation.data.privacy.and.non.training.guarantee.with.openai.api.policy.compliance","name":"data privacy and non-training guarantee with openai api policy compliance","description":"Guarantees that Q does not train on user workspace data and complies with OpenAI API policy: OpenAI retains API call content for 30 days for abuse monitoring then deletes it, and does not use API data for model training (API usage differs from web interface). Q backend does not store conversation content. User data is not used to improve Q's models. Privacy policy and data retention are documented but no HIPAA, SOC2, GDPR, or data residency options are mentioned.","intents":["I want to use AI in Slack without my data being used to train models","I need assurance that my conversations are not stored long-term","I want to comply with data privacy regulations by using Q"],"best_for":["Organizations with data privacy concerns or regulatory requirements","Teams handling sensitive information who want non-training guarantees","Companies evaluating Q for compliance with internal data policies"],"limitations":["OpenAI retains data for 30 days — user cannot opt-out or request immediate deletion","No HIPAA compliance mentioned — not suitable for healthcare organizations","No SOC2 certification documented — enterprise security requirements may not be met","No GDPR data residency options — unclear where data is stored geographically","Data retention policy is OpenAI's, not Q's — Q has no control over 30-day retention","No audit trail or transparency reports on data access or deletion","Compliance guarantees are limited to non-training; other privacy aspects unclear"],"requires":["Active Q subscription","Acceptance of Q's privacy policy and OpenAI's API terms"],"input_types":["any user data (text, documents, URLs)"],"output_types":["privacy assurance (non-training guarantee)"],"categories":["safety-moderation","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Slack workspace with admin approval to install bot from marketplace","Active Q subscription (free 14-day trial available, no credit card required)","OpenAI or Anthropic API key provisioned by Q backend (user does not manage directly)","Slack workspace with Q bot installed","Active Q subscription (Standard tier or higher for URL analysis)","For Google Workspace: per-user OAuth connection via Q settings panel","For URLs: publicly accessible HTTP/HTTPS endpoints or direct PDF links","Active Q subscription","Original @mention message that invoked Q","Slack workspace admin access to Q settings panel"],"failure_modes":["Reads only the thread where @mentioned, not workspace-wide history — cannot aggregate context from multiple channels","Token limits of 16K (GPT) or 200K (Claude) per request constrain analysis of very large documents or long conversations","Model version 'GPT-5.2' is non-standard nomenclature; actual underlying model unclear and may not be latest OpenAI release","No streaming to external systems — responses remain in Slack only, cannot be piped to other tools","Latency described as 'milliseconds to seconds' without p99 SLA or performance guarantees","URL readers require public URLs or user-provided authentication — no service account patterns for workspace-level document access","Google Workspace OAuth is per-user, not workspace-level, requiring each user to authenticate separately","Audio and video file formats are unspecified; actual supported codecs unknown","YouTube, arXiv, and Notion access methods (API vs. scraping) are undocumented, creating uncertainty about reliability and compliance","No automatic workspace file scanning — files must be manually uploaded or linked","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.15,"quality":0.25,"ecosystem":0.1,"match_graph":0.45,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:32.438Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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-slack-chatbot","compare_url":"https://unfragile.ai/compare?artifact=q-slack-chatbot"}},"signature":"w7acwrhvK1on9OkgjAS19HRtwthZVsQKKVb7YxwiB5M9EYgMcT7Eca/Sya7vOvYpo6Hepxw5hjQiDHu3CW4vDg==","signedAt":"2026-06-22T12:08:10.076Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/q-slack-chatbot","artifact":"https://unfragile.ai/q-slack-chatbot","verify":"https://unfragile.ai/api/v1/verify?slug=q-slack-chatbot","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"}}