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    🧪 Channel Experiment Postmortem

    by JustHandled Labs

    1

    Audit one completed channel test against its predeclared qualified gate, attribution, owner exclusion, budgets, changed variables, and cooldown.

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    You say

    A 14-day directory experiment with a predeclared two-checkout-open gate, one changed artifact, two verified external events, zero cost, three effort hours, and a seven-day cooldown.

    Your agent does

    REACHED with two eligible checkout openings, READY packet status, no budget overrun, one isolated changed variable, and a reminder that the result does not prove causality or repeatability.

    What you get

    Close a marketplace or directory test against its predeclared qualified gateExclude impressions, owner activity, weak attribution, and out-of-window eventsRecord whether aggregate cost or effort exceeded its stop conditionDetermine when a bounded one-variable follow-up may begin after cooldown

    About this skill

    Channel Experiment Postmortem evaluates one owner-supplied completed distribution or marketing test against its predeclared objective, qualified outcome gate, measurement window, attribution, owner-activity exclusion, aggregate cost and effort limits, changed variables, and cooldown. The deterministic offline helper validates every event before filtering, rejects vanity gates, unknown event types, malformed actor or attribution fields, URL-shaped evidence references, and unsafe output paths. It returns REACHED, NOT_REACHED, or CANNOT_DETERMINE; eligible event counts; an explicit budget receipt; isolation and cooldown findings; and stable SHA-256 receipts. Reaching a gate does not prove causality or repeatability. The skill does not retrieve analytics, contact anyone, auto-follow up, publish, or impersonate the owner.

    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 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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