policy-monitor

Name: policy-monitor
Availability: InStock
Author: az9713

Detects AI policy drift by comparing assessments and vendor reviews to commitments and use case registry.

Updated May 15, 2026

Search Tags:#human oversight #ai policy #use case registry #policy gap analysis #governance drift #vendor ai reviews

Ready to run

npx skills add https://github.com/az9713/claude-for-legal-tutorial --skill policy-monitor-az9713

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: policy-monitor
Source: https://github.com/az9713/claude-for-legal-tutorial/tree/main/ai-governance-legal/skills/policy-monitor
Command: npx skills add https://github.com/az9713/claude-for-legal-tutorial --skill policy-monitor-az9713

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI governance documents quickly become outdated as new AI impact assessments, triage decisions, and vendor AI reviews introduce new practice that the policy may not reflect, creating misrepresentation and compliance risk.

Core Features & Use Cases

Weekly policy drift sweeps: Scans saved Outputs since the last sweep and diffs approved practices against the authoritative AI policy document to identify REQUIRED and ADVISABLE gaps.
Direct query for proposed new practices: Takes a description of an intended AI use case and immediately classifies coverage as covered, missing, or conflicting, then drafts suggested policy language and registry updates.
Human-controlled updates: Produces review-ready work product and only updates sweep timestamps and gap counts in the CLAUDE.md outputs after acknowledgment, avoiding silent roll-forward.

Quick Start

Use policy-monitor to run a sweep by telling the AI to: /ai-governance-legal:policy-monitor.

Frequently Asked Questions about policy-monitor

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

FAQPage Schema

How do I detect AI policy drift from new AI impact assessments?▼

Detect AI policy drift by comparing newly saved AI Impact Assessments, triage outcomes, and vendor AI reviews against current AI policy commitments and a use case registry. This identifies misrepresentation and compliance risk by classifying coverage as required or advisable gaps.

What is a use case registry in AI governance?▼

A use case registry in AI governance records approved AI practices and vendor reviews. It serves as the baseline for policy gap analysis, allowing you to diff new AI impact assessments against existing policy commitments to detect governance drift.

How do I run a weekly policy gap analysis for AI governance?▼

Run a policy gap analysis by scanning saved Outputs since the last sweep to diff approved practices against the authoritative AI policy document. This sweep classifies identified coverage issues as REQUIRED or ADVISABLE gaps and drafts suggested policy language.

Can I check if a proposed AI use case conflicts with existing policy?▼

Yes, you can check a proposed AI use case by submitting a direct query. The system immediately classifies coverage as covered, missing, or conflicting, then drafts suggested policy language and use case registry updates for human review.

Does AI policy monitoring automatically update the use case registry?▼

No, AI policy monitoring produces review-ready work product without auto-updating the recorded sweep state. Human-controlled updates ensure sweep timestamps and gap counts only change after acknowledgment, avoiding silent roll-forward of governance records.