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    Amazon Variation Family Audit

    1

    Check declared parent-child family structure and compare family membership across before/proposed files, preserving textual SKUs and returning row-specific fixes and removed/reparented members.

    $5

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    Amazon Variation Family Audit

    Amazon Variation Family Audit

    Example session with this skill installed

    Illustrative invocation for the seller's synthetic acceptance fixture: review the declared parent-child family in before/proposed tables using the explicit category theme policy. Preserve textual SKU 001. Return the local audit only; do not upload or change anything.

    • Read your context and instructions
    • Compiled the amazon variation family

    Seller demonstration — synthetic fixture

    This is the complete recorded JSON from the seller's local CLI replay of the exact accepted ZIP, version 0.2.0. It is not a live account export or a verified Agensi-hosted agent session. The invocation above is illustrative; the output below is the preserved actual seller test result.

    Complete observed output

    {
      "coverage": {
        "before": {
          "blank_record_end_lines": [],
          "bytes": 83,
          "preamble_blank_record_end_lines": [],
          "preamble_record_end_lines": [],
          "reader": "table",
          "record_end_lines": [
            2,
            3
          ],
          "records": 2,
          "source_complete": "NOT_VERIFIED"
        },
        "proposed": {
          "blank_record_end_lines": [],
          "bytes": 83,
          "preamble_blank_record_end_lines": [],
          "preamble_record_end_lines": [],
          "reader": "table",
          "record_end_lines": [
            2,
            3
          ],
          "records": 2,
          "source_complete": "NOT_VERIFIED"
        }
      },
      "details": {
        "before_rows": 2,
        "category_allowlist_checked": true,
        "changes": [
          {
            "delta": {},
            "kind": "UNCHANGED",
            "sku": "001"
          },
          {
            "delta": {},
            "kind": "UNCHANGED",
            "sku": "P"
          }
        ],
        "proposed_rows": 2
      },
      "findings": [],
      "input_sha256": {
        "before": "dee60694117c62e4c63907f195ca28a2a6301461edc9b42a2f99ad246126e483",
        "policy": "5d2f31107d190083f4373753d54b6f7fc39edb9383a73921e3b1d33292b69bab",
        "proposed": "dee60694117c62e4c63907f195ca28a2a6301461edc9b42a2f99ad246126e483"
      },
      "limitations": [
        "Only supplied family subset checked; source completeness and live listing contributions unknown.",
        "No field completeness/category/GTIN/import approval or deletion authorization."
      ],
      "schema_version": "local-audit-result@1",
      "status": "CLEAR"
    }
    

    Next step

    Review the scoped findings and coverage before any manual platform action. CLEAR only covers the documented local rules; input completeness, platform acceptance and business correctness are not certified.

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

    About this skill

    Check declared parent-child family structure and compare family membership across before/proposed files, preserving textual SKUs and returning row-specific fixes and removed/reparented members.

    For: Amazon catalog operators preparing category-template uploads.

    Input: CSV or TSV with explicit header row and user-confirmed column mapping; a category-approved theme allowlist supplied in policy. No universal Amazon template or acceptance claim.

    Included: original Python source, companion SKILL.md, runnable synthetic examples, policy guide, README and a file-hash manifest. Runs locally on Windows 10/11 with Python 3.11+; no third-party runtime dependencies. Use the documented source command after extraction. A Python-enabled agent is needed for Skill execution; installing the Skill alone does not include the complete source folder. Your AI assistant may have separate costs.

    Output: a JSON audit with CLEAR, REVIEW, BLOCK or INVALID_INPUT, findings, scoped details, coverage and input hashes. The audit never edits inputs, uploads data, calls a paid API or executes a platform change. CLEAR covers only the documented rules and is not platform approval or verification that your export is complete.

    Limits: Does not check category eligibility without policy, GTIN/category/brand/IP fields, server contributions or actual import. No delete/reparent execution. Input files are bounded to 1 MiB each; other structural limits are in the included README. Windows local regular files only; links, network drives, cloud placeholders and archives as audit inputs are unsupported.

    Compare before buying: Free Amazon variation wizard, category templates and processing reports; Excel/ChatGPT manual comparison; paid multichannel inventory software. None establish our sales.

    This package adds: Offline cross-version family ledger before upload, with explicit category scope and no hidden destructive repair. Native tools still validate more fields and server-side contributions.

    One-time download, $5. This is a bounded commercial experiment; sales and time savings are not established.

    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 7 days ago

    • Passed all security checks, Safe to install

    Requires

    Windows
    Python

    Listed7 days ago

    What's inside

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