How does Claims Validator find non-existent features?

It scans documentation for command-line examples and feature names, then cross-references them with the current codebase to ensure the logic or commands actually exist.

Does it automatically fix the documentation?

No, it generates a detailed validation report with specific recommendations on how to remove, verify, or rephrase unsupported claims to maintain factual accuracy.

Where are the validation reports saved?

Reports are automatically saved to .aiwg/reports/claims-validation.md for easy review and integration into your CI/CD or development workflow.

Can I use this for marketing copy?

Yes, it is specifically designed to flag marketing superlatives and unverifiable 'BS' to help you produce more professional and trustworthy technical documentation.

Claims Validator

Name: Claims Validator
Author: jmagly

byjmagly

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콘텐츠 관리

Scans documentation and codebases to identify and flag unsupported metrics, unverifiable claims, and non-existent feature references.

소개

Claims Validator is a specialized utility designed to maintain the integrity of project documentation by auditing statements for factual accuracy. It identifies marketing superlatives, unsubstantiated performance metrics, and cost or time estimates that lack empirical evidence. By cross-referencing feature descriptions with the actual codebase, it ensures that only implemented functionality is documented, helping teams avoid documentation debt and preventing users from being misled by hallucinated features or exaggerated statistics.

주요 기능

Verification of documented commands against actual codebase implementation.
Identification of subjective marketing superlatives and vague comparative statements.
67 GitHub stars
Automated detection of unsubstantiated performance metrics and benchmarks.
Generation of structured validation reports with actionable rephrasing recommendations.
Audit of time and cost estimates for missing methodology or data sources.

사용 사례

Pre-release README auditing to ensure all documented features actually exist in the code.
Reviewing PR descriptions and changelogs for hallucinated metrics or missing citations.
Standardizing technical documentation by replacing marketing fluff with factual data.

소개

주요 기능

Verification of documented commands against actual codebase implementation.
Identification of subjective marketing superlatives and vague comparative statements.
67 GitHub stars
Automated detection of unsubstantiated performance metrics and benchmarks.
Generation of structured validation reports with actionable rephrasing recommendations.
Audit of time and cost estimates for missing methodology or data sources.

사용 사례

Pre-release README auditing to ensure all documented features actually exist in the code.
Reviewing PR descriptions and changelogs for hallucinated metrics or missing citations.
Standardizing technical documentation by replacing marketing fluff with factual data.