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    ⏸️ Should This Be Automated?

    by JustHandled Labs

    1

    Classify a consequential people-facing action as suitable for automation, revision, delay, human review, human delivery, or no automation.

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    You say

    A billing agent plans to publicly flag a disputed account and freeze access without an appeal path.

    Your agent does

    verdict: do_not_automate confidence: limited observations: [directly supplied facts] alternative_explanations: [at least one] recommended_action: reversible next step human_review: explicit when stakes or authority require it

    What you get

    Preflight an automated suspension or rejectionCheck whether a customer-facing notice needs human deliveryReview an agent action before it becomes irreversible

    About this skill

    Before an agent sends, rejects, suspends, accuses, publishes, or escalates, check whether a machine should be doing it at all. Should This Be Automated? gives agent developers, operations teams, support leaders, and policy owners before a people-facing action is automated. a bounded, structured review built around observable evidence, calibrated inference, alternative explanations, missing context, and stable verdicts. Its specific rubric covers irreversibility, vulnerability, power imbalance, appealability, factual dispute, recipient preference, public exposure. It refuses emotional-leverage optimization, diagnosis, protected-trait inference, retaliation, and non-consensual disclosure. High-stakes or irreversible cases receive an explicit human-review recommendation. The package performs no network request, publication, message delivery, purchase, account change, or claim to know another person's inner state.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    JustHandled Labs
    JustHandled Labs

    49+ total installs · 166 skills on Agensi

    JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.

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