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rule-audit

Audit host adapter rule sets for contradictions, redundancy, gaps, and drift.

Updated Apr 27, 2026
Search Tags:#rule audit#configuration drift#contradiction detection#policy consistency#rules validation#evidence-based decisions#AI coding governance
One-click install
npx skills add https://github.com/vTRKA/supervibe --skill rule-audit-vtrka
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rule-audit
Source: https://github.com/vTRKA/supervibe/tree/main/skills/rule-audit
Command: npx skills add https://github.com/vTRKA/supervibe --skill rule-audit-vtrka

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rule Audit helps prevent confusing or unsafe AI coding outcomes by finding contradictions, redundancy, gaps, drift, deny mismatches, broken links, and staleness across your host adapter rules—especially after you add rules or run sync-rules.

Core Features & Use Cases

  • Cross-rule contradiction detection: Identifies incompatible directives in the same context and recommends canonical precedence.
  • Redundancy and gap auditing: Detects repeated requirements and coverage gaps using evidence from memory and rule sections.
  • Host drift and integrity checks: Verifies mandatory rules are referenced by the active host instruction file and that related-rules targets resolve.
  • Evidence-gated decision output: Produces bounded findings with confidence, blockers, and nextAction, returning BLOCKED when required proofs are missing.

Quick Start

Ask your AI to audit the current ruleset by providing the rule-audit trigger, the selected rule files, the active host instruction file, and the required proof/receipts, then request an evidence-backed BLOCKED/PASS/FAIL/PARTIAL decision from rule-audit.

Frequently Asked Questions about rule-audit

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

FAQPage Schema
How do I detect contradictions in AI coding rules before shipping changes?▼

Rule contradictions are detected by auditing host adapter rule sets to find incompatible directives, gaps, and drift. The audit resolves related-rules, verifies mandatory references in active host instructions, and recommends canonical precedence.

What causes configuration drift in host adapter rule sets?▼

Configuration drift occurs when mandatory rules are not referenced by the active host instruction file or related-rules targets fail to resolve. Rule audits verify integrity by checking these mandatory references and target resolutions.

How do I audit rules for redundancy and coverage gaps?▼

Redundancy and gap auditing detects repeated requirements and missing coverage using evidence from project memory and rule sections. The audit produces bounded findings with confidence scores and next actions.

When should I run a policy consistency check on my rules?▼

Policy consistency checks should run after adding or modifying rules, after sync-rules completes, and during periodic rule audits to prevent confusing or unsafe AI coding outcomes.

Does rules validation provide evidence-based decisions when proofs are missing?▼

Rules validation produces evidence-scored agent output that returns BLOCKED when required proofs are missing. The output includes bounded findings with confidence levels, blockers, and nextAction recommendations.

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