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    Freshness Guardian — Stop Agents From Using Stale

    1

    Design temporal validity checks, freshness policies, source timestamps, refresh triggers and stale-answer controls for AI workflows.

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    Freshness Guardian — Stop Agents From Using Stale

    Freshness Guardian — Stop Agents From Using Stale

    Example session with this skill installed

    Fictional example: An AI knowledge base uses a 2024 price page and a current policy page. Users ask for today’s price and the present refund policy. No current price source is available. 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 freshness guardian

    Freshness Guardian: worked example

    Scope: this fictional brief, using only supplied information.

    An AI knowledge base uses a 2024 price page and a current policy page. Users ask for today’s price and the present refund policy. No current price source is available.

    Deliverable

    WorkstreamFinding / decisionRecommended action
    Price answer2024 evidence is stale for a current-price requestDo not present that price as current; state the missing verification and fetch an authoritative current source when authorized.
    Policy answerCurrent page may support the policyRecord effective date, retrieval date and authority; cite the relevant version and verify whether exceptions apply.
    Refresh policyDifferent facts have different volatilityClassify price as high volatility and policy as change-sensitive; invalidate cache on published changes and test stale-source behavior.

    Decision and next steps

    Add source/version timestamps and an abstention rule when freshness requirements fail. Test that historical facts remain labeled historical rather than silently upgraded to current claims.

    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

    Freshness Guardian

    Design temporal validity checks, freshness policies, source timestamps, refresh triggers and stale-answer controls for AI workflows.

    Workflow and deliverables

    • Do not present that price as current; state the missing verification and fetch an authoritative current source when authorized.
    • Record effective date, retrieval date and authority; cite the relevant version and verify whether exceptions apply.
    • Classify price as high volatility and policy as change-sensitive; invalidate cache on published changes and test stale-source behavior.

    Getting started

    Provide your goal, relevant source material, constraints and context for freshness guardian. 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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