validate-output-coherence

Validate generated outputs against brand schemas, tone rules, and sourcing constraints.

1|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/Largo2z9/phantomos --skill validate-output-coherence
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: validate-output-coherence
Source: https://github.com/Largo2z9/phantomos/tree/main/.skills/skills/validate-output-coherence
Command: npx skills add https://github.com/Largo2z9/phantomos --skill validate-output-coherence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents inaccurate or off-brand outputs from reaching operators by checking generated content against brand facts, schemas, tone guidelines, and sourcing requirements.

Core Features & Use Cases

  • Schema Validation: Detects fabricated entity paths and mismatched references against available brand schemas.
  • Brand Consistency Checks: Reviews claims, product details, positioning, offers, and tone alignment before delivery.
  • Use Case: A DTC growth workflow can run this Skill after generating an audit or campaign asset to identify unsupported claims and blocking inconsistencies before the operator sees the result.

Quick Start

Ask the validation skill to check the latest output against the selected brand context and return a coherence report.

Frequently Asked Questions about validate-output-coherence

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

FAQPage Schema
How do I check generated content for brand inconsistencies before delivery?

To check for brand inconsistencies, validate generated outputs against structured brand references, schemas, and tone rules to produce a coherence report highlighting warnings and blocking issues before delivery.

What is a coherence audit for DTC operations workflows?

A coherence audit is a final quality check that reviews DTC assets and onboarding outputs against brand facts and sourcing constraints to prevent inaccurate or fabricated content from reaching operators.

How do I validate output schemas and detect fabricated entity paths?

You validate output schemas by checking generated content against available brand schemas to detect fabricated entity paths and mismatched references, returning a machine-readable validation status.

Does output validation work for tone alignment and unsupported claims?

Yes, output validation reviews claims, product details, positioning, and tone alignment against brand guidelines to identify unsupported claims and blocking inconsistencies in DTC campaign assets.

What do I need to run an output coherence report?

You need structured brand references and output inputs to run a coherence audit, which produces a machine-readable report containing warnings, blocking issues, and overall validation status.

When should I run a coherence audit in a content generation workflow?

Run a coherence audit after generating an audit, campaign asset, or brand-related response to identify unsupported claims and blocking inconsistencies before the operator sees the final result.