Pinterest Retail Catalog CSV Check

    1

    Check Pinterest retail CSV required fields, duplicate IDs, prices, availability and selected URL syntax before manual upload. Local JSON findings; no account connection.

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    Pinterest Retail Catalog CSV Check

    Example session with this skill installed

    Use the bundled synthetic file examples/review.csv shown below. Run pinterest-retail-csv-check examples/review.csv after the README installation and return the full JSON receipt. Do not edit the input, access an account or import/upload anything.

    id,title,description,link,image_link,price,availability
    a,Shirt,Cotton shirt,https://example.invalid/a,https://example.invalid/a.jpg,0,out of stock
    
    • Read your context and instructions
    • Compiled the pinterest retail catalog

    Synthetic input, measured local CLI result

    Executed using the unchanged buyer package v0.1.1 on Windows with Python 3.14. This demonstrates the installed CLI, not automatic agent activation or a native platform test. Input uses UTF-8 and LF newlines; a different save encoding/line ending changes the hash.

    Complete JSON receipt

    {
      "extra_findings": 0,
      "findings": [
        {
          "code": "PRICE_FORMAT_REVIEW",
          "row": 2
        }
      ],
      "limitations": [
        "Selected retail CSV fields only; no guarantee of catalog ingestion.",
        "No website ownership, merchant eligibility, landing-page match or image reachability/dimensions.",
        "No variant inference, item_group_id requirement inference, taxonomy, optional fields or currency validity beyond three-letter format.",
        "Plain positive prices allow decimal dot/comma and optional three-letter currency before/after; no symbols or thousands separators."
      ],
      "rows": 1,
      "sha256": "ad84db3c2437612ebd0b7f28456b37319cceeadcff6e55351d4a802445debf4b",
      "status": "REVIEW"
    }
    

    Interpretation and next step

    Logical row 2 has a zero price; the supported price check requires a positive plain price. Verify the intended price in a working copy and rerun. URL reachability and merchant eligibility are outside this check.

    The CLI returned exit code 1 (REVIEW). A separate normal synthetic input returned exit code 0 (PASS_CHECKED_RULES) in the same exact-package replay. A local pass covers only the documented rules; complete the platform's own review before import/upload.

    The JSON above is the complete terminal output. No CSV export, account connection, correction or upload was produced by the checker.

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

    About this skill

    Before you install: Windows 10/11 on a genuinely local drive; macOS/Linux filesystem inputs are unsupported. Python 3.11+ is required. This is a downloadable source ZIP with a Python CLI and Agent Skill instructions, not a hosted service or one-click desktop app. A terminal (or a compatible agent allowed to run local Python) is required. Prepare trusted pip, setuptools>=68 and wheel for source installation. The core CLI uses only the Python standard library. No connected service account or API key is needed for the local checks; AI assistant/provider fees are separate. Optional local MCP requires its separately installed trusted SDK and local root configuration; it is not required for CLI use.

    How to use: Extract the whole ZIP, install from its folder using the README command, and run pinterest-retail-csv-check <local-file>. Review the JSON receipt, correct any issue yourself in a separate working copy, then rerun before the platform's own manual review. The checker does not change or import your input. Its receipt is printed to the terminal; save it separately if you need a report file.

    Short description: Check Pinterest retail CSV required fields, duplicate IDs, prices, availability and selected URL syntax before manual upload. Local JSON findings; no account connection.

    Description: Malformed required product fields can stop catalog ingestion; generate a bounded row issue queue before handing the feed to Pinterest. Checks seven required retail fields, blanks, duplicate IDs, ID/title/description length, selected URL syntax/length, positive plain prices with optional three-letter currency, three supported availability words, group-ID length and apparent HTML descriptions. Decimal comma prices are supported when CSV quoted. No inference about variants or valid ISO currency membership. Includes a Skill, independent Python core/CLI, optional local stdio MCP adapter, setup guide and sample inputs/receipts. Read-only; no remote account access or automatic changes.

    Buyer requirements: Windows10/11 on a genuinely local drive; POSIX/macOS/Linux filesystem inputs refused. Trusted Python3.11+ and setuptools68+ for source installation; optional mcp>=2,<3 SDK. Core/CLI runtime is standard-library only. File5000000 bytes, 20000 rows,64 columns,65536 characters/record,128 visible findings. A local result does not guarantee platform acceptance. Selected retail CSV fields only; no guarantee of catalog ingestion. No website ownership, merchant eligibility, landing-page match or image reachability/dimensions. No variant inference, item_group_id requirement inference, taxonomy, optional fields or currency validity beyond three-letter format. Plain positive prices allow decimal dot/comma and optional three-letter currency before/after; no symbols or thousands separators. Native platform validation is a free alternative. No affiliation or endorsement.

    Compatibility evidence: Measured CLI examples used Windows and Python 3.14. Agent activation and every host/version combination have not each been tested.

    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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    Security scanned

    Verified clean 16 days ago

    • Passed all security checks, Safe to install

    Requires

    Python
    Pinterest Retail Csv Check MCP

    Listed16 days ago

    What's inside

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