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    Hallucination Inspector — Find Unsupported AI Claims

    1

    Audit AI claims, citations, contradictions, precision and action statements against actual supporting evidence.

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    Hallucination Inspector — Find Unsupported AI Claims

    Hallucination Inspector — Find Unsupported AI Claims

    Example session with this skill installed

    Fictional example: An AI report says Revenue grew 40%, customers love the product, and I emailed the report. Evidence only shows revenue rising from $100 to $120; no feedback or send log exists. Produce a complete first-pass deliverable, separate facts from assumptions and give practical next steps. Do not take external actions.

    • Read your context and instructions
    • Compiled the hallucination inspector

    Hallucination Inspector: worked example

    Scope: this fictional brief, using only supplied information.

    An AI report says Revenue grew 40%, customers love the product, and I emailed the report. Evidence only shows revenue rising from $100 to $120; no feedback or send log exists.

    Deliverable

    WorkstreamFinding / decisionRecommended action
    RevenueActual increase is 20%, not 40%Correct to: Revenue increased from $100 to $120, a 20% rise, for the supplied period.
    SentimentNo customer feedback evidenceRemove customers love the product or label it an unverified hypothesis requiring actual feedback.
    Action claimNo email-send evidenceReplace I emailed the report with Report prepared; sending remains unverified. Do not imply an action completed.

    Decision and next steps

    Publish only the corrected evidence-supported version. Keep a claim register with source and verification status; missing evidence is not proof the claim is false, but it does block presenting it as verified.

    Evidence boundaries

    Conclusions apply to the supplied scenario. Missing facts remain unverified; recommendations are not completed actions. Validate source data and approvals before implementation. Track results against the objective and adjust only when new evidence supports change.

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

    About this skill

    Hallucination Inspector

    Audit AI claims, citations, contradictions, precision and action statements against actual supporting evidence.

    Workflow and deliverables

    • Correct to: Revenue increased from $100 to $120, a 20% rise, for the supplied period.
    • Remove customers love the product or label it an unverified hypothesis requiring actual feedback.
    • Replace I emailed the report with Report prepared; sending remains unverified. Do not imply an action completed.

    Getting started

    Provide your goal, relevant source material, constraints and context for hallucination inspector. Include dates, existing decisions and any restrictions that must be preserved.

    Receive a structured deliverable with source facts, explicit assumptions, priorities, open questions and next steps. Adapt the depth to your available evidence; the sample below demonstrates the workflow with fictional inputs.

    Boundaries

    Uses supplied evidence and explicit assumptions. No guaranteed outcomes or continuous monitoring. Live research and external actions require supported tools and authorization.

    Reusable agent instructions, with optional tool use depending on your host. External actions require supported tools and explicit authorization.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Verified clean 6 days ago

    • Passed all security checks, Safe to install

    Listed6 days ago

    What's inside

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