{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_mindguide","slug":"mindguide","name":"MindGuide","type":"product","url":"https://getmindguide.com","page_url":"https://unfragile.ai/mindguide","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_mindguide__cap_0","uri":"capability://text.generation.language.personalized.conversational.mental.health.counseling","name":"personalized conversational mental health counseling","description":"Delivers adaptive conversational responses tailored to individual user mental health contexts through a dialogue system that maintains conversation history and user preference profiles. The system likely uses prompt engineering with user context injection to adapt tone, therapeutic approach, and response depth based on stated preferences and conversation patterns over time, enabling consistent personalization without explicit model fine-tuning.","intents":["I need someone to talk to about my anxiety right now without waiting for a therapist appointment","I want daily emotional check-ins that understand my specific mental health situation","I'm looking for a consistent companion that remembers my coping strategies and preferences"],"best_for":["Individuals with mild-to-moderate anxiety or stress seeking daily wellness support","Users in geographic regions with limited therapy access","People already in therapy seeking supplementary daily support between sessions"],"limitations":["Cannot diagnose mental health conditions or recognize when professional intervention is medically necessary","No clinical oversight means responses may miss nuanced psychological needs or contraindications","Personalization relies on conversation history which may be lost if sessions aren't persisted or user data is cleared","Cannot provide crisis intervention for acute suicidal ideation or severe psychiatric emergencies"],"requires":["Internet connection for API access","User account creation (email or social login)","No specific device requirements beyond web browser or mobile app"],"input_types":["natural language text","conversational prompts"],"output_types":["natural language text responses","conversational guidance"],"categories":["text-generation-language","mental-health-wellness"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindguide__cap_1","uri":"capability://planning.reasoning.adaptive.coping.strategy.recommendation.engine","name":"adaptive coping strategy recommendation engine","description":"Suggests contextually relevant mental health coping techniques and stress management strategies based on user-reported emotional states and historical effectiveness patterns. The system likely maintains a knowledge base of evidence-based coping techniques (breathing exercises, cognitive reframing, grounding techniques) and uses user feedback or implicit signals to rank and recommend strategies that have worked for that specific user in similar emotional contexts.","intents":["I'm having an anxiety spike right now and need immediate coping techniques","I want to learn new stress management strategies tailored to my specific triggers","I need reminders of techniques that have helped me in the past"],"best_for":["Users seeking practical, actionable wellness techniques for daily stress management","Individuals building personal mental health toolkits with guided exploration","People who benefit from structured, evidence-based coping strategies"],"limitations":["Recommendations are not clinically validated for individual users and may not be appropriate for all mental health conditions","No feedback loop to measure actual effectiveness of recommended strategies for the user","Cannot adapt recommendations based on medication interactions or medical contraindications","Strategy database is static and not updated based on emerging clinical research"],"requires":["User engagement history to build effectiveness patterns","Natural language understanding of emotional state descriptions","Access to internal coping strategy knowledge base"],"input_types":["natural language emotional state descriptions","user feedback on strategy effectiveness"],"output_types":["structured coping technique recommendations","step-by-step guidance for specific techniques","natural language explanations"],"categories":["planning-reasoning","mental-health-wellness"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindguide__cap_2","uri":"capability://data.processing.analysis.emotional.state.tracking.and.pattern.recognition","name":"emotional state tracking and pattern recognition","description":"Monitors user emotional states across conversations to identify recurring patterns, triggers, and mood trends over time through natural language analysis of user inputs. The system likely extracts emotional signals from conversation text using sentiment analysis or emotion classification models, stores time-series emotional state data, and applies pattern recognition to surface insights about mood cycles, common triggers, or improvement areas without requiring explicit user logging.","intents":["I want to understand my emotional patterns and what triggers my anxiety","Show me how my mood has changed over the past week or month","Help me identify what situations consistently affect my mental health"],"best_for":["Users seeking self-awareness about their emotional patterns and triggers","Individuals tracking mental health progress over time","People preparing for therapy sessions with concrete data about their emotional trends"],"limitations":["Emotion detection from text is imperfect and may misclassify emotional states, especially for sarcasm, cultural context, or complex emotional expressions","Pattern recognition requires sufficient conversation history (likely weeks or months) to be statistically meaningful","No integration with external data sources (sleep, exercise, medication changes) that may explain emotional patterns","Privacy concerns with storing detailed emotional state history without explicit user consent mechanisms"],"requires":["Minimum conversation history (likely 10+ interactions) to establish baseline patterns","Persistent user data storage with timestamp metadata","Natural language processing capability for emotion classification"],"input_types":["natural language conversation text","implicit emotional signals"],"output_types":["emotional state classifications","trend visualizations or summaries","pattern insights in natural language","trigger identification reports"],"categories":["data-processing-analysis","mental-health-wellness"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindguide__cap_3","uri":"capability://safety.moderation.crisis.escalation.detection.and.resource.referral","name":"crisis escalation detection and resource referral","description":"Identifies high-risk emotional states or crisis indicators in user messages (e.g., suicidal ideation, severe self-harm intent) through keyword matching, semantic similarity, or classification models, and automatically surfaces crisis resources or escalation prompts. The system likely uses rule-based detection combined with NLP classification to flag concerning language patterns and trigger templated responses directing users to professional crisis services, though without human review or verification.","intents":["Ensure users in crisis are directed to appropriate professional help","Provide immediate access to crisis hotline numbers and resources","Prevent harm by recognizing when a user needs professional intervention"],"best_for":["Users experiencing acute mental health crises who need immediate resource access","Platforms seeking basic safety guardrails to prevent liability from serious harm","Supplementary safety layer for users who may not proactively seek help"],"limitations":["Detection relies on explicit language patterns and may miss indirect or coded expressions of suicidal intent","No human review means false negatives could allow serious crises to go undetected","Cannot assess actual risk level or acuity — all detected crises trigger the same generic escalation response","No follow-up mechanism to verify user safety after escalation or confirm they contacted resources","May generate false positives that alarm users discussing past crises or hypothetical scenarios","Referral to external crisis services is one-way with no integration or handoff mechanism"],"requires":["Access to crisis detection models or rule-based keyword lists","Database of crisis resources (hotlines, text lines, emergency services) by geography","Real-time message analysis capability","Legal disclaimers and liability frameworks"],"input_types":["natural language user messages","emotional state context from conversation history"],"output_types":["crisis alert flags","crisis resource recommendations","escalation prompts with hotline numbers","emergency service referrals"],"categories":["safety-moderation","mental-health-wellness"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindguide__cap_4","uri":"capability://memory.knowledge.multi.turn.conversation.memory.and.context.management","name":"multi-turn conversation memory and context management","description":"Maintains conversation history and user context across multiple interactions to enable coherent, continuous dialogue that references previous discussions and builds on established therapeutic relationships. The system likely stores conversation transcripts with user metadata, implements context windowing to manage token limits, and injects relevant historical context into each prompt to maintain continuity without requiring users to re-explain their situation.","intents":["I want the AI to remember what I told it last week without me having to repeat myself","I need consistent support that builds on our previous conversations","The AI should understand my ongoing situation and not treat each conversation as isolated"],"best_for":["Users seeking ongoing therapeutic relationships with continuity across sessions","Individuals building long-term mental health support routines","People who benefit from not having to re-contextualize their situation each conversation"],"limitations":["Context window limitations mean very long conversation histories cannot be fully retained in a single prompt","Summarization of past conversations may lose nuanced details or emotional context important for therapeutic continuity","No explicit consent mechanism for storing sensitive mental health information across sessions","Conversation history is vulnerable to data breaches and may expose sensitive personal information","No mechanism to delete or modify past conversation records if users change their minds about shared information"],"requires":["Persistent user data storage with encryption","Conversation history database with timestamp and metadata","Context summarization or retrieval mechanism to fit history within token limits","User authentication to ensure conversation privacy"],"input_types":["natural language messages","conversation history metadata"],"output_types":["contextually aware responses","references to previous conversations","continuous narrative across sessions"],"categories":["memory-knowledge","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindguide__cap_5","uri":"capability://text.generation.language.evidence.based.therapeutic.approach.selection","name":"evidence-based therapeutic approach selection","description":"Adapts conversational style and therapeutic techniques based on user preferences or inferred needs, selecting from evidence-based approaches such as cognitive-behavioral therapy (CBT), mindfulness-based techniques, or supportive listening. The system likely uses user preference statements or conversation analysis to determine which therapeutic modality to emphasize, then applies corresponding response patterns (e.g., Socratic questioning for CBT, present-moment focus for mindfulness).","intents":["I want the AI to use cognitive-behavioral techniques to help me challenge anxious thoughts","I prefer mindfulness-based approaches over problem-solving strategies","Adapt your therapeutic style to what works best for me"],"best_for":["Users with preferences for specific therapeutic modalities","Individuals exploring different therapeutic approaches to find what resonates","People seeking structured therapeutic techniques rather than generic emotional support"],"limitations":["Therapeutic approach selection is not clinically validated for the user's specific condition or needs","No assessment of whether the selected approach is contraindicated for the user's situation","Implementation of therapeutic techniques by AI may lack the nuance and clinical judgment of trained therapists","User preference for a therapeutic approach may not align with what is clinically appropriate","No mechanism to measure whether the selected approach is actually effective for the user"],"requires":["User preference specification or inference from conversation","Knowledge base of therapeutic techniques for each modality","Prompt engineering to implement therapeutic approaches in conversational responses"],"input_types":["user therapeutic preference statements","conversation content for approach inference"],"output_types":["responses using selected therapeutic techniques","Socratic questions for CBT","mindfulness exercises for acceptance-based approaches","supportive reflections for person-centered approaches"],"categories":["text-generation-language","mental-health-wellness"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindguide__cap_6","uri":"capability://automation.workflow.wellness.check.in.scheduling.and.reminders","name":"wellness check-in scheduling and reminders","description":"Enables users to schedule periodic mental health check-ins and sends reminders to engage with the platform at user-specified intervals (daily, weekly, etc.). The system likely uses a scheduling service to trigger notifications or emails at specified times, with templated check-in prompts that invite users to reflect on their emotional state, recent events, or progress on coping strategies.","intents":["I want daily reminders to check in on my mental health","Schedule weekly wellness check-ins to track my progress","Send me notifications when it's time for my mental health reflection"],"best_for":["Users who benefit from structured routines and external prompts for self-reflection","Individuals building consistent mental health maintenance habits","People seeking to establish regular wellness practices without relying on memory"],"limitations":["Notification fatigue may reduce engagement if reminders are too frequent or poorly timed","No personalization of reminder timing based on user's actual availability or circadian patterns","Reminders may be intrusive or triggering for users in certain emotional states","No mechanism to adjust reminder frequency based on user engagement or feedback","Requires explicit user opt-in and may violate privacy expectations if notifications are unexpected"],"requires":["User notification preferences and permission","Scheduling service (cron jobs, task queue, or third-party scheduler)","Email or push notification infrastructure","User timezone information for accurate reminder timing"],"input_types":["user-specified check-in frequency and timing","notification preferences"],"output_types":["scheduled notifications","check-in prompt templates","reminder emails or push notifications"],"categories":["automation-workflow","mental-health-wellness"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_mindguide__cap_7","uri":"capability://text.generation.language.psychoeducational.content.delivery.on.mental.health.topics","name":"psychoeducational content delivery on mental health topics","description":"Provides educational information about mental health conditions, coping strategies, and wellness concepts in response to user questions or proactively based on identified needs. The system likely maintains a knowledge base of mental health topics and delivers explanations tailored to the user's comprehension level and existing knowledge, using analogies and examples to make clinical concepts accessible.","intents":["I want to understand what anxiety is and how it affects my body","Explain cognitive distortions and how to identify them in my thinking","Teach me about different types of therapy and which might help me"],"best_for":["Users seeking to understand mental health concepts and build health literacy","Individuals preparing for therapy by learning relevant terminology and concepts","People exploring whether their experiences align with known mental health conditions"],"limitations":["Psychoeducational content is not personalized to the user's specific diagnosis or clinical presentation","Information may be oversimplified or inaccurate compared to clinical standards","No mechanism to verify accuracy of delivered information against current clinical guidelines","Users may self-diagnose based on educational content without professional assessment","Content is static and not updated as clinical understanding evolves"],"requires":["Knowledge base of mental health topics and conditions","Natural language generation capability to explain concepts accessibly","User question understanding to match queries to relevant content"],"input_types":["user questions about mental health topics","identified knowledge gaps from conversation analysis"],"output_types":["educational explanations","analogies and examples","definitions of mental health concepts","information about conditions and treatments"],"categories":["text-generation-language","mental-health-wellness"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Internet connection for API access","User account creation (email or social login)","No specific device requirements beyond web browser or mobile app","User engagement history to build effectiveness patterns","Natural language understanding of emotional state descriptions","Access to internal coping strategy knowledge base","Minimum conversation history (likely 10+ interactions) to establish baseline patterns","Persistent user data storage with timestamp metadata","Natural language processing capability for emotion classification","Access to crisis detection models or rule-based keyword lists"],"failure_modes":["Cannot diagnose mental health conditions or recognize when professional intervention is medically necessary","No clinical oversight means responses may miss nuanced psychological needs or contraindications","Personalization relies on conversation history which may be lost if sessions aren't persisted or user data is cleared","Cannot provide crisis intervention for acute suicidal ideation or severe psychiatric emergencies","Recommendations are not clinically validated for individual users and may not be appropriate for all mental health conditions","No feedback loop to measure actual effectiveness of recommended strategies for the user","Cannot adapt recommendations based on medication interactions or medical contraindications","Strategy database is static and not updated based on emerging clinical research","Emotion detection from text is imperfect and may misclassify emotional states, especially for sarcasm, cultural context, or complex emotional expressions","Pattern recognition requires sufficient conversation history (likely weeks or months) to be statistically meaningful","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.15000000000000002,"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":"2026-05-24T12:16:31.858Z","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=mindguide","compare_url":"https://unfragile.ai/compare?artifact=mindguide"}},"signature":"4/6OMSPYEwpqeNexjRqVjJHjHjgmd/LV2gPXp9uziDInBKIg3Tz1C/RiRLcbWDt4P4JtlSDgB5nlhu4GQn+ICg==","signedAt":"2026-06-21T14:11:26.928Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mindguide","artifact":"https://unfragile.ai/mindguide","verify":"https://unfragile.ai/api/v1/verify?slug=mindguide","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"}}