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    Request Ledger

    1

    Find missing client files in an existing folder and draft unsent follow-ups from a dated request checklist.

    $19

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    Converts to your local currency at checkout

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    Request Ledger

    Example session with this skill installed

    Compare the bundled requests.csv with examples/received as of 2026-10-18. List missing items and draft follow-ups without sending anything.

    • Read your context and instructions
    • Compiled the request ledger

    Reproduced local demo

    The following complete JSON report was generated by the packaged Python runner using only synthetic files. The HTML report and generated output files are also included in the ZIP.

    {
      "product": "Request Ledger",
      "asOf": "2026-10-18",
      "requests": [
        {
          "request_id": "REQ-001",
          "client": "Redwood Studio",
          "contact": "redwood@example.com",
          "document": "Brand logo",
          "relative_path": "redwood/logo.svg",
          "due_date": "2026-10-15",
          "physicalLine": 2,
          "status": "found_unverified",
          "bytes": 113
        },
        {
          "request_id": "REQ-002",
          "client": "Redwood Studio",
          "contact": "redwood@example.com",
          "document": "Company introduction",
          "relative_path": "redwood/company.txt",
          "due_date": "2026-10-16",
          "physicalLine": 3,
          "status": "missing_overdue",
          "bytes": null
        },
        {
          "request_id": "REQ-003",
          "client": "Harbor Shop",
          "contact": "harbor@example.com",
          "document": "Approved product copy",
          "relative_path": "harbor/products.txt",
          "due_date": "2026-10-18",
          "physicalLine": 4,
          "status": "found_unverified",
          "bytes": 90
        },
        {
          "request_id": "REQ-004",
          "client": "Harbor Shop",
          "contact": "harbor@example.com",
          "document": "Hero image",
          "relative_path": "harbor/hero.jpg",
          "due_date": "2026-10-25",
          "physicalLine": 5,
          "status": "missing_upcoming",
          "bytes": null
        }
      ],
      "counts": {
        "found_unverified": 2,
        "missing_overdue": 1,
        "missing_upcoming": 1
      },
      "drafts": [
        {
          "client": "Redwood Studio",
          "contact": "redwood@example.com",
          "body": "Hello Redwood Studio,\n\nPlease help us check the following requested materials:\n- Company introduction (due 2026-10-16): not found at the expected path.\n\nIf already sent elsewhere, please tell us where so we can update the checklist. Thank you.\n",
          "sent": false
        }
      ],
      "sentMessages": 0,
      "caveat": "File presence is not acceptance: document contents, correct period, authenticity, and completeness were not verified. No email, Drive connection, scheduling, or network access."
    }
    

    Review the report before operational use. The local run does not establish buyer-side hosted execution, actual customer outcomes, or live platform import/integration. No source file was overwritten and no external messages were sent.

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

    About this skill

    See which client files are missing before writing another follow-up. Compare a dated request checklist with an existing local folder, then review an HTML status board and grouped unsent reminder drafts.

    The snapshot distinguishes found-but-unverified, empty, overdue missing, due-today missing, and upcoming missing files. Future missing items are not chased. File presence never means the document is approved.

    Includes a standalone Python runner, agent workflow, synthetic checklist and files, generated HTML/JSON demo, and quickstart. Requires Python 3.11+ and a complete local package. No dependencies or API keys.

    This checks exact file paths and sizes, not document content or the correct accounting period. It does not connect to Gmail or Drive, sync cloud files, host a portal, schedule reminders, or send messages. Use a separately verified sync process if inspecting a synced folder.

    Delivery status

    Local execution of the complete ZIP has been tested with synthetic examples. Agensi hosted delivery and execution of bundled Python files is not yet verified. This is a pilot release, not a claim of customer outcomes or sales. MIT licensed. No exclusive rights or indefinite support entitlement.

    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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    Trust & safety

    Security scanned

    Verified clean 2 days ago

    • Passed all security checks, Safe to install

    Requires

    Python 3.11+
    Agent/client with local terminal and filesystem access
    Complete bundled scripts/ and common.py files
    Python

    Listed2 days ago

    What's inside

    Frequently Asked Questions