cross-model-validator

Validate cross-model consistency across canonical models for reciprocal endpoints and domain alignment.

3|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/SteveGJones/jack-tar-deckhand --skill cross-model-validator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cross-model-validator
Source: https://github.com/SteveGJones/jack-tar-deckhand/tree/main/.claude/skills/cross-model-validator
Command: npx skills add https://github.com/SteveGJones/jack-tar-deckhand --skill cross-model-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill validates cross-model consistency across multiple canonical models by detecting mismatches in cross-company interactions, reciprocal endpoints, and aligned reference data.

Core Features & Use Cases

  • Reciprocal endpoint validation: Ensures interactions declared by one model are mirrored in the target model.
  • Domain and authority alignment: Verifies that external domains and persona authority levels align across models.
  • Collaborative model reconciliation: Checks consistency between individual company models and the collaborative model to surface gaps.

Quick Start

Load all canonical models and run the validator to generate a cross-model consistency report.

Frequently Asked Questions about cross-model-validator

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

FAQPage Schema
What is cross-model validation for canonical models?

Cross-model validation checks consistency across multiple canonical models by verifying reciprocal endpoints, domain alignment, and authority levels to detect inter-service mismatches. It ensures that cross-company interactions declared by one model are accurately mirrored in target models.

How do I validate reciprocal endpoints across multiple canonical models?

Load all canonical models and run the validator to generate a cross-model consistency report. The process identifies missing endpoints and misaligned reference data by checking that interactions declared by one model are mirrored in the target model.

Why does my cross-company interaction mismatch reference data across models?

Cross-company interaction mismatches occur when individual company models and the collaborative model lack consistency in domain alignment, persona authority levels, or reference data. Validating these collaborative models surfaces gaps and detects misaligned reference data across scenarios.

Can I check domain consistency and SOP access without manual endpoint mapping?

Yes, the validation workflow automatically imposes requirements for reciprocal endpoints, domain consistency, and SOP access across all loaded canonical models. It validates service name alignment and authority levels without manual mapping.

What are the limitations of cross-model validation workflows?

The validation requires all canonical models to be loaded before execution and only checks domain alignment, authority levels, and reciprocal endpoints. It does not fix mismatches but generates a consistency report surfacing missing endpoints and gaps in the collaborative model.