notary-rpi-reader

Analyze property registration reports to detect legal encumbrances and restrictions.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/diegogalmarini/EscriAR --skill notary-rpi-reader
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: notary-rpi-reader
Source: https://github.com/diegogalmarini/EscriAR/tree/main/.agent/skills/notary-rpi-reader
Command: npx skills add https://github.com/diegogalmarini/EscriAR --skill notary-rpi-reader

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the critical issue of signing property deeds when there are active legal encumbrances like embargoes or restrictions, even if the certificate itself is valid.

Core Features & Use Cases

  • Semantic Analysis: Reads and understands the legal text within property registration reports (RPI).
  • Gravamen Detection: Automatically identifies and flags issues such as embargoes, mortgages, and personal inhibitions that prevent a clear title transfer.
  • Detail Extraction: Extracts crucial details like amounts, court cases, and issuing courts for any detected encumbrances.
  • Use Case: A notary can use this skill to instantly verify if a property is free to be sold by analyzing the RPI report, preventing costly legal errors.

Quick Start

Analyze the provided RPI report text to detect any active liens or restrictions.

Frequently Asked Questions about notary-rpi-reader

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect embargoes and legal restrictions in property registration reports?

This Skill reads property registration reports to automatically identify and flag active legal encumbrances like embargoes, mortgages, and personal inhibitions that prevent clear title transfers.

What details can be extracted from an RPI report when checking for property liens?

It extracts crucial details like amounts, court cases, and issuing authorities for any detected encumbrances.

Do I need Python to analyze legal encumbrances in property registration reports?

Yes, analyzing legal encumbrances requires Python with regex capabilities for text pattern matching and semantic analysis.

How does semantic analysis identify personal inhibitions in RPI reports?

Semantic analysis reads and understands the legal text within RPI reports, using regex pattern matching to automatically identify and flag personal inhibitions and other restrictions.

Can I use this tool to verify if a property is free to be sold before signing a deed?

Yes, notaries can instantly verify if a property is free to be sold by analyzing the RPI report for active liens, preventing costly legal errors during deed signing.