knowledge-base-drift-auditor

Audit knowledge bases for contradictions, drift, staleness, and coverage gaps.

Updated Jul 16, 2026

Search Tags:#documentation #audit #knowledge base #staleness #wiki #contradiction detection #content drift

Ready to run

npx skills add https://github.com/Cloud-Byte-Consulting/plugins --skill knowledge-base-drift-auditor-cloud-byte-consulting

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: knowledge-base-drift-auditor
Source: https://github.com/Cloud-Byte-Consulting/plugins/tree/main/prompt-workflows/skills/knowledge-base-drift-auditor
Command: npx skills add https://github.com/Cloud-Byte-Consulting/plugins --skill knowledge-base-drift-auditor-cloud-byte-consulting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Wikis and knowledge bases accumulate hidden contradictions, stale claims, and unsourced statements that erode trust over time. This Skill systematically audits existing knowledge content to surface these integrity problems before they mislead readers. ## Core Features & Use Cases - Contradiction Scan: Detects conflicting claims, numbers, dates, and timelines across pages or entries, including smoothed-over debates. - Drift and Staleness Detection: Flags authoritative-sounding statements without sources, outdated conclusions, and time-sensitive wording like "currently" without dates. - Gap Analysis: Identifies missing pages, missing cross-references, and questions the knowledge base should answer but cannot. - Use Case: A team lead pastes their engineering wiki's most-used pages and receives a structured audit report with severity-rated findings, quoted evidence, and a suggested maintenance cadence. ## Quick Start Use the knowledge-base-drift-auditor skill to audit the wiki pages I paste for contradictions, stale claims, and coverage gaps.

Frequently Asked Questions about knowledge-base-drift-auditor

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

FAQPage Schema

How do I audit a wiki for contradictions and stale content?▼

Paste the wiki pages or entries you want reviewed, then answer a few context questions about update history and contributors. The audit scans for contradictions, drift, staleness, and gaps, and returns a severity-rated findings report with quoted evidence.

What kinds of knowledge bases can be audited for drift?▼

The audit works with wikis containing synthesized pages, collections of notes, databases of entries, or mixed formats. For large knowledge bases, focus on one topic area or the pages your team relies on most.

What does the knowledge base audit report include?▼

The report contains an executive summary of 5-10 bullets, a findings table with issue type, severity, evidence, and suggested fix, detailed notes per finding, and a recommended maintenance cadence for ongoing upkeep.

Does the audit fix contradictions it finds automatically?▼

No. The audit only surfaces contradictions and disagreements with supporting evidence; it does not resolve them or rewrite content. Guardrails prevent inventing issues, so every flagged finding is backed by quoted material you provided.

What are the limitations of an AI knowledge base audit?▼

The audit can only analyze content you paste, so it cannot detect drift relative to external sources you do not provide. Findings depend on the completeness of the material shared and the accuracy of your answers about update history.