1

    Akte Proeflezer

    Automated mechanical check of notarial deeds for consistency in names, dates, amounts, and template placeholders.

    Updated Jun 2026
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    $19

    · or 95 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Verify that amounts in words match numerical figures exactly
    • Detect leftover placeholders like [NAME] or data from previous clients
    • Ready for Cursor
    • Instant install

    Sample input

    Review this draft deed of sale against the attached ID cards and the signed purchase agreement. Check for any inconsistencies in the price or names.

    Sample output

    Correction List:

    • [BLOCKING] Price mismatch: €256,000 in digits vs "two hundred sixty-five thousand" in words. (Agreement says €265,000).
    • [DISRUPTIVE] Name spelling: "Janssen" in deed vs "Janssens" on ID card.
    • [COSMETIC] Double space in Art. 4.
    • [UNVERIFIED] Cadastral data (Map not provided).

    About This Skill

    What it does

    The Notarial Deed Proofreader acts as a systematic final gatekeeper for legal professionals. It performs a mechanical consistency check on draft deeds, verifying that names, dates, amounts, and cadastral data are accurate and consistent throughout the document and against source materials. It identifies embarrassing and risky errors like mismatched numerical/written amounts, leftover template placeholders, and internal reference breaks.

    Why use this skill

    Manual proofreading of long legal documents is prone to human fatigue. This skill automates the "robotic" part of the review, catching discrepancies that the human eye often skims over. It is significantly more reliable than standard AI prompting because it follows a rigorous multi-step protocol: verifying identity details against ID documents, cross-referencing amounts against sales agreements, and checking internal logic (e.g., ensuring "Article 12" actually exists).

    Supported checks

    • Identity: Cross-referencing names, dates of birth, and addresses with source docs.
    • Financial: Verifying that figures in digits match figures in words and that calculations (price = deposit + balance) add up.
    • Cadastral: Mapping property details to official records.
    • Template Cleanup: Scanning for [PLACEHOLDERS] and artifacts from previous files.
    • Version Comparison: Detecting "silent changes" between two document drafts.

    Output

    The result is a structured correction list categorized by severity: Blocking (legal risks), Disruptive (clerical errors), or Cosmetic (formatting), plus a list of items that couldn't be verified due to missing source files.

    Use Cases

    • Verify that amounts in words match numerical figures exactly
    • Detect leftover placeholders like [NAME] or data from previous clients
    • Cross-check party identities against passport and ID card scans
    • Identify broken internal article references and missing annexes
    • Flag discrepancies between the purchase agreement and final deed draft

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    Permissions

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    Compatible with SKILL.md-compatible agents including Claude Code, Cursor, and Aider.

    Frequently Asked Questions