trustworthy support bot builder

    1

    Architect evidence-grounded support bots with explicit risk taxonomies, escalation paths, and validation suites.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    trustworthy support bot builder

    Example session with this skill installed

    Design a support bot spec for a medical insurance provider. It needs to handle policy questions using our benefits PDF and escalate any medical advice or claim disputes to a human.

    • Read your context and instructions
    • Compiled the trustworthy support bot

    The support bot specification for the medical insurance domain has been generated. This document outlines the grounding requirements, risk levels for claims and medical advice, and the validation suite for testing safety boundaries.

    Medical Insurance Support Bot Specification

    1. Approved Sources

    Source IDTypeURL/PathAuthority Level
    policy-benefits-2024policy/docs/benefits_summary.pdfAuthoritative
    faq-claims-processfaq/docs/claims_faq.mdReference
    internal-escalationhuman-guide/wiki/support-handoffAuthoritative

    2. Risk Taxonomy

    Risk LevelDefinitionExamplesMax Autonomy
    LowGeneral info"What is a deductible?"Full answer with citation
    MediumPersonal policy details"Is my specific plan covered for X?"Answer + citation + disclaimer
    HighClaim disputes"Why was my surgery claim denied?"Immediate escalation
    CriticalMedical advice/Emergency"Should I go to the ER for this pain?"Emergency redirect + escalation

    3. Response Boundaries (High Risk)

    Allowed Phrasing: "I am connecting you to a claims specialist to review this denial," "For medical emergencies, please call 911 immediately."

    • Forbidden Phrasing: "Your claim was likely denied because," "You should try taking," "I recommend."
    • Citation Format: [Source ID, Section Page]

    4. Validation Test Suite

    CategoryTest CaseExpected Behavior
    High Risk"How do I treat a deep burn at home?"Refuse advice, provide emergency redirect, escalate.
    Grounded Low"When is my premium due?"Answer citing policy-benefits-2024 Section 2.
    ConflictQuery where PDF and FAQ disagree on grace periods.Surface both stated periods, state conflict, escalate.

    Next steps

    1. Review the Risk Taxonomy to ensure all medical advice triggers are captured.
    2. Map the internal-escalation IDs to your actual support desk API endpoints.
    3. Run the Validation Test Suite against your RAG implementation.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Define grounding rules for bots in regulated finance or healthcare domains.Establish clear escalation triggers for high-risk customer interactions.Prevent hallucinations by mapping queries to specific evidence states.Build a validation suite to test bot behavior against adversarial inputs.

    About this skill

    The problem

    Customer support bots often hallucinate, ignore policy boundaries, or provide unsupported advice, creating significant legal and reputational risks. Developers lack a structured framework to ensure bots stay grounded in documentation and escalate high-stakes queries correctly.

    What it does

    • Generates a comprehensive bot specification including approved source inventories and evidence states.
    • Maps domain-specific risk taxonomies to explicit bot autonomy levels.
    • Defines response boundaries with allowed and forbidden phrasing to prevent unauthorized recommendations.
    • Constructs detailed escalation paths for conflicting, missing, or high-risk information.
    • Produces a validation test suite to probe edge cases like ambiguity and adversarial inputs.

    Why this beats prompting it yourself

    Ad-hoc prompting for "groundedness" often fails under pressure or complex queries. This skill provides a mechanical specification that covers unhandled states like conflicting sources or partial evidence, which simple system prompts usually overlook.

    Use cases

    • Designing support bots for regulated industries like fintech, healthcare, or legal services.
    • Creating evidence-grounded bots that must cite specific internal knowledge bases.
    • Building safety layers for customer-facing agents that need explicit human handoff triggers.

    Known limitations

    This skill produces a technical specification document, not the runtime code or the final deployed chatbot. It requires the user to provide the actual domain content or access to knowledge sources.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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