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    📦 Amazon FBA Reimbursement Evidence Reconciler

    by JustHandled Labs

    1

    Reconcile seller-supplied inventory, reimbursement, claim, deadline, and manufacturing-cost evidence locally.

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    You say

    inventory_events[] uses event_id, status, expected reimbursement, manufacturing-cost reference, and owner-supplied days until deadline; reimbursements[] uses reimbursement_id, event link, and amount; claims[] uses claim_id and event link.

    Your agent does

    A deterministic READY, REVIEW, or BLOCK result with stable finding codes, a complete review manifest, a human-readable report, and a SHA-256 receipt.

    What you get

    Find lost or damaged inventory with no reimbursementReview partial reimbursements against owner-supplied expectationsCatch claim deadline and manufacturing-cost evidence gaps

    About this skill

    Amazon FBA Reimbursement Evidence Reconciler turns owner-supplied normalized evidence into a deterministic local review gate. FBA sellers compare inventory events, settlements, COGS evidence, reimbursements, claims, and policy deadlines manually or through recovery services. The bundled Python helper writes stable findings, a complete review manifest, JSON and Markdown reports, and a SHA-256 receipt. Flags unreconciled, partial, duplicate, cost-evidence, and deadline-risk records without accessing Seller Central or filing a claim. It uses only the Python standard library, makes no network request, changes no account or system, and never treats READY as source proof, certification, a legal or security verdict, a reimbursement promise, or authorization to act.

    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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