ceratops-code-consistency-audit

Audit repository coherence across code, docs, tests, and configurations.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/ceratops-code/codex-skills --skill ceratops-code-consistency-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ceratops-code-consistency-audit
Source: https://github.com/ceratops-code/codex-skills/tree/main/skills/ceratops-code-consistency-audit
Command: npx skills add https://github.com/ceratops-code/codex-skills --skill ceratops-code-consistency-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Audit a repository after large refactors, branch merges, or parallel agent threads for contradictions between implementation, docs, configs, tests, examples, and control files. Use when the goal is post-merge validation, release-readiness consistency checking, documentation-drift detection, or merged-only edge-case hunting rather than style review.

Core Features & Use Cases

Audit repository coherence after combined changes. Across teams this work is usually split across post-merge validation, integration and regression testing, release-readiness review, documentation-drift checks, and architectural fitness functions. Use this skill to run the cross-cutting consistency pass those labels only partially cover.

  • Identify contradictions between code, docs, tests, and configurations.
  • Detect drift between implementation and documentation, configs, and examples.
  • Surface merged-only edge cases and stale references to fix before release.

Quick Start

Run a coherence audit on the repository after major changes.

Frequently Asked Questions about ceratops-code-consistency-audit

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

FAQPage Schema
How do I check repository coherence after a large branch merge?

To check repository coherence after a large branch merge, audit the codebase to surface contradictions between code, docs, tests, configurations, and examples. This validates that merged changes align with declared sources of truth and reports actionable fixes.

What is documentation drift detection and when do I need it?

Documentation drift detection identifies contradictions between implementation and documentation, configs, or examples. You need it during release-readiness checks or post-merge validation to ensure technical docs accurately reflect merged code changes.

How do I find merged-only edge cases and stale references before a release?

To find merged-only edge cases and stale references before a release, run a cross-cutting consistency audit across READMEs, configs, tests, manifests, and automation. This surfaces issues introduced by parallel agent work or refactors.

Can I use a consistency audit for release-readiness checks across multiple configuration files?

Yes, a consistency audit supports release-readiness checks by validating coherence across multiple configuration files, manifests, and tests. It enforces declared sources of truth and reports concrete inconsistencies with actionable fixes.

What is the best way to validate code and test consistency after parallel agent work?

The best way to validate code and test consistency after parallel agent work is to run a repository coherence audit. It detects drift between implementation, tests, and examples, surfacing contradictions introduced by parallel threads.

Does this consistency audit check style and formatting or focus on cross-file contradictions?

This consistency audit focuses on cross-file contradictions rather than style review. It targets documentation drift, merged-only edge cases, and contradictions between code, docs, tests, and configurations after major refactors.