graph-provenance-testing

Validate provenance fields and evidence JSON consistency on graph edges.

Updated May 15, 2026

Search Tags:#evidence validation #graph provenance #graph edge testing #provenance integrity #algorithm testing

Ready to run

npx skills add https://github.com/ruskibeats/t1d --skill graph-provenance-testing

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: graph-provenance-testing
Source: https://github.com/ruskibeats/t1d/tree/main/.pi/skills-archive/graph-provenance-testing
Command: npx skills add https://github.com/ruskibeats/t1d --skill graph-provenance-testing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Ensures the integrity and consistency of provenance information on graph edges, including detector/version/timestamp fields and evidence JSON consistency.

Core Features & Use Cases

Provenance Structure Testing: Checks for proper detector/version/timestamp information on graph edges.
Evidence JSON Consistency: Validates the structure and consistency of JSON evidence.
RAG Evidence Inclusion: Confirms that RAG context includes evidence from edges.
Edge Type Testing: Tests across multiple edge types for uniformity.

Quick Start

Execute the test_graph_provenance script to validate provenance structure and evidence inclusion on graph edges.

Frequently Asked Questions about graph-provenance-testing

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

FAQPage Schema

How do I validate provenance structure and evidence inclusion on graph edges?▼

Validating graph edge provenance requires checking that detector, version, and timestamp fields are present and that evidence JSON is consistent. You can execute the test_graph_provenance script to automate this structure validation across multiple edge types.

What is graph edge provenance testing and when do I need it?▼

Graph edge provenance testing verifies the integrity of detector, version, and timestamp metadata on graph edges. You need it when validating evidence JSON consistency and confirming RAG context includes proper evidence from edges.

How do I check if RAG evidence is properly included in my graph edges?▼

Checking RAG evidence inclusion involves confirming that RAG context contains evidence from graph edges. Running a provenance validation script confirms that evidence JSON is consistent and properly linked across various edge types.

Can I test provenance integrity across multiple different graph edge types?▼

Yes, testing provenance integrity across multiple edge types ensures uniformity of detector, version, and timestamp fields. The validation process checks various edge types to confirm consistent evidence JSON structure and RAG evidence inclusion.

Why does my evidence JSON consistency check fail on certain graph edges?▼

Evidence JSON consistency checks fail when graph edges lack required detector, version, or timestamp fields. Provenance testing identifies these structural inconsistencies by validating evidence JSON structure and confirming RAG evidence inclusion across edges.

Do I need any dependencies to run graph provenance validation scripts?▼

No external dependencies are required to run graph provenance validation scripts. The testing script operates independently to validate detector, version, and timestamp fields, evidence JSON consistency, and RAG evidence inclusion on graph edges.