Skillget

Open-Genealogy

agent
Security Audit
Pass
Health Pass
  • License — License: NOASSERTION
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 40 GitHub stars
Code Pass
  • Code scan — Scanned 10 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This project is a collection of AI prompts and utilities designed to assist genealogists with research, document transcription, and historical image analysis. Rather than functioning as a traditional standalone application, it primarily provides copy-paste instructions and skills for use with AI language models.

Security Assessment
The overall risk is Low. The light code audit scanned 10 files, including Python scripts, and found no dangerous patterns. It does not request dangerous permissions, and there are no hardcoded secrets, network requests, or shell command executions detected. However, users should keep in mind that utilizing these AI prompts for genealogical research naturally involves inputting potentially sensitive personal and historical family data into third-party LLMs.

Quality Assessment
The project is actively maintained, with its most recent push occurring today. It has earned a moderate level of community trust, boasting 40 GitHub stars. The repository includes a clear description and thorough documentation to help users get started. While the automated scan noted the license as "NOASSERTION," the README explicitly states the content is covered under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0) license.

Verdict
Safe to use.
SUMMARY

Collection of genealogy resources

README.md

Open-Genealogy

License: CC BY-NC-SA 4.0
GitHub last commit
GitHub repo size

A toolkit of AI prompts and utilities for genealogical research, designed to follow the Genealogical Proof Standard. For genealogists at every level — from hobbyists exploring their first census record to credentialed professionals managing client work.

What's Here

Category Description Start Here
Research GPS-based research methodology research-assistant-v8.5-compact.md
GRA Skill GPS research assistant for Claude Code (v8.5.2) SKILL.md
Transcription Diplomatic transcription for handwritten documents ocr-htr-v08.md
Image Analysis Forensic image interpretation for historical photographs deep-look-v2.md
Hebrew Headstones Jewish cemetery headstone analysis with gematria dating hebrew-headstone-helper-v9.md
Photo Restoration Historical photograph restoration restoration-v2.md
Writing Tools Narrative writing, fact extraction, language advising, editing narrative-assistant-v3.md
Assistants AI personas, GEDCOM creation and analysis gedcom-builder-v1.md
Skills Claude Code skills with companion files skills/
Scripts Audio transcription utilities transcribe-4.py
Benchmark AI research evaluation framework README.md

Full catalog: INDEX.md | Detailed guide: GETTING-STARTED.md | Guided tour: TOUR-REPORT.md

Quick Start

  1. Pick a category above
  2. Copy the recommended prompt into your LLM (ChatGPT, Claude, Gemini, etc.)
  3. Provide your input (document scan, photo, research question)
  4. Follow the output structure

New here? The Getting Started guide walks through setup, first use, and common workflows.

Featured: GPS Research Methodology

The research/ folder contains prompts designed to follow the Genealogical Proof Standard—the professional methodology for evidence-based genealogical conclusions.

Key features:

  • Evidence Analysis Process Map: Classifies sources (Original/Derivative/Authored), information (Primary/Secondary), and evidence (Direct/Indirect/Negative)
  • Epistemic transparency: Separates what sources state from inference from uncertainty
  • Conflict resolution: Explicit protocols for handling contradictory evidence

Aligned with the methodology described in:

  • Mills, Evidence Explained, 4th ed. (2024)
  • BCG, Genealogy Standards, 2nd ed. revised (2021)

Benchmark

The benchmark/ folder contains a framework for evaluating how well AI models follow GPS methodology. Includes comparative analysis of Claude, ChatGPT, Gemini, and Grok.

Notice

This toolkit applies widely recognized genealogical research principles.
It is not published by, endorsed by, or affiliated with Elizabeth Shown Mills,
the Board for Certification of Genealogists, or any certifying body. References
to published standards indicate methodological alignment, not authorization
or derivation.

License

Creative Commons BY-NC-SA 4.0

Author

Steve Little (@DigitalArchivst)

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