Appraisal AI for Openclaw

An automated assistant for real estate appraisers that drafts narrative reports and adjustment grids from project workfiles while preserving professional oversight.

chadru
v1.1.1
Feb 16, 2026
2
2.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install appraisal-ai

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install appraisal-ai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Appraisal AI?

Appraisal AI is a specialized tool designed to accelerate the creation of narrative appraisal reports and adjustment grids. By leveraging Openclaw Skills, it transforms the tedious manual entry process into an automated drafting workflow. It analyzes project documents and populates user-defined Word and Excel templates, ensuring that every modification is presented as a tracked change for final appraiser approval.

This approach maintains high standards of USPAP compliance while significantly reducing the time spent on repetitive data entry. Unlike fully automated systems that remove the human element, this skill ensures the appraiser keeps full control over professional judgments, such as comp selection and value conclusions, by presenting all suggestions for manual review.

Appraisal AI Use Cases

  • Draft narrative reports for eminent domain and condemnation assignments.
  • Generate Excel adjustment grids for improved property or land-only appraisals.
  • Automate data extraction from subject documents and comparable exhibits.
  • Perform quality reviews for consistency and missing fields in draft reports.

How Appraisal AI Works

  1. Organize your project documents (subject docs, comparables, exhibits, and template) into a standard folder structure.
  2. The Openclaw Skills tool reads your documents and extracts structured data into a reviewable format.
  3. You review the extracted data and manually fill in any gaps or professional judgments.
  4. The tool drafts the narrative and adjustment grid based on your provided master template.
  5. You open the output in Word or Excel to accept or reject each tracked change, finalizing the report.

Appraisal AI Setup

To get started with Appraisal AI, ensure you have Python 3 installed on your system. This skill integrates with your local workflow via Openclaw Skills.

# Clone the repository
git clone https://github.com/cruby9/appraisal_ai

# Navigate to the directory
cd appraisal_ai

# Install dependencies
pip install -r requirements.txt

Appraisal AI Data Schema & Taxonomy

The skill organizes data through a strict folder hierarchy and template mapping to ensure consistency.

Component Description
Project Folder Contains subject docs, comparables, and exhibits.
Master Template A completed .docx or .xlsx file used as a baseline schema.
Metadata Extracted structured data representing appraisal fields (e.g., site size, zoning).
Output A .docx with tracked changes and an .xlsx with preserved formulas.

Appraisal AI Advanced Features

  • Support for custom template packs including Land-only, Condemnation, and Improved property types.
  • Intelligent field substitution that marks every change with strikethroughs and underlines for transparent review.
  • Preservation of complex Excel formulas and manual appraiser adjustments within grids.
  • Automated consistency checks against USPAP compliance guidelines using Openclaw Skills capabilities.

SKILL.md


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