When should I use the verify skill?

Use it whenever you need to check documentation structure, validate links, or ensure that your technical docs haven't drifted from the source of truth.

What is normative vocabulary validation?

The skill checks for standardized technical language such as MUST, MUST NOT, SHOULD, and MAY. It flags non-standard or ambiguous language to ensure technical requirements are clear and actionable.

Why is project-conveyor.md mandatory for this skill?

The project-conveyor.md file serves as the definitive source of truth for the documentation tree. Without it, the skill cannot accurately verify if the specs and references are aligned with the project's core intent.

Does DocOps Verify modify my documentation files?

No, this skill is a read-only operation. It scans your documentation and reports issues or warnings but will never modify or write to your files.

How does it handle evidence links?

It ensures that all derived specification (SPEC) and reference (REF) documents contain valid links to evidence files located in the reference/code-evidence/ directory.

DocOps Verify

Name: DocOps Verify
Author: murillodutt

bymurillodutt

0•

学習とドキュメンテーション

Validates technical documentation structure, normative vocabulary, and source-of-truth alignment to ensure consistency and prevent documentation drift.

DocOps Verify is a specialized auditing tool for Claude Code designed to maintain high-fidelity documentation repositories. It performs automated structural checks to ensure mandatory directories and files like the project-conveyor.md source-of-truth are present, while cross-referencing specification documents with technical code evidence. By enforcing RFC-style normative language (MUST, SHOULD, MAY) and identifying dated entries in gap files, it provides a comprehensive quality assurance report without ever modifying your source files, making it an essential utility for teams practicing context engineering and maintaining complex technical knowledge bases.

主な機能

01Evidence link auditing between derived documents and code-evidence files

02Documentation drift control through conveyor-gaps.md analysis

030 GitHub stars

04Normative vocabulary enforcement (RFC 2119 standard compliance)

05Source-of-truth verification requiring project-conveyor.md

06Automated documentation structure validation for specs, references, and guides

ユースケース

01Identifying broken references and missing evidence links in technical specifications.

02Standardizing the language used in requirement documents to ensure clarity and testability.

03Performing a pre-commit audit to ensure documentation complies with project standards.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add murillodutt/cellm verify

For use in Claude.ai and ChatGPT