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policy-monitor

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Updated Dec 4, 2025
Search Tags:#governance#human oversight#ai policy#use case registry#policy drift#impact assessments#vendor reviews
One-click install
npx skills add https://github.com/PolliticalSolutions/political-portal --skill policy-monitor-polliticalsolutions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: policy-monitor
Source: https://github.com/PolliticalSolutions/political-portal/tree/main/.claude/skills/ai-governance-legal/policy-monitor
Command: npx skills add https://github.com/PolliticalSolutions/political-portal --skill policy-monitor-polliticalsolutions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI policy quickly becomes outdated as teams approve new AI Impact Assessments, triage outcomes, and vendor AI reviews that may introduce new practices not reflected in the policy text.

Core Features & Use Cases

  • Weekly sweep of saved outputs to detect whether real AI practice has drifted from the committed policy, including classification of gaps as REQUIRED (misrepresentation) or ADVISABLE (silence).
  • Direct query for a proposed new AI practice to quickly diff the proposal against current policy commitments and the use case registry, identifying coverage, conflicts, and missing elements.
  • Human-in-the-loop drafting that quotes current policy, explains each gap, and produces suggested policy language plus guidance on registry updates and timing.

Quick Start

Run the skill in sweep mode by asking: policy-monitor, or run it in direct query mode by adding a one-sentence description of the proposed AI practice.

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 between approved impact assessments and my governance commitments?▼

You can direct-query a proposed AI practice by providing a one-sentence description, which the system diffs against current policy commitments and the use case registry to identify coverage conflicts and missing elements before approval.

How do I check if a proposed AI practice conflicts with my current use case registry?▼

You can direct-query a proposed AI practice by providing a one-sentence description to diff it against current policy commitments and the use case registry, identifying coverage gaps, conflicts, and missing elements.

Does policy monitoring require human oversight before updating sweep stamps?▼

Human-in-the-loop drafting quotes current policy text, explains each classified gap, and produces suggested policy language plus guidance on registry updates and timing, ensuring human oversight before any sweep stamps are updated.

How do I classify gaps between real AI practices and committed policy text?▼

Gaps are classified as REQUIRED, indicating active misrepresentation, or ADVISABLE, indicating policy silence on an approved practice, by extracting approved practices from saved outputs and comparing them against authoritative policy.

What is needed to configure weekly AI policy sweep workflows?▼

Weekly sweep workflows require reading CLAUDE.md for policy state and outputs configuration, enabling the system to scan outputs since the last sweep and detect alignment issues against the authoritative AI policy.

When should I use an AI policy monitor versus manual policy reviews?▼

Use an AI policy monitor for automated weekly sweeps and direct proposal diffing against the use case registry, whereas manual policy reviews lack continuous automated alignment tracking for ongoing impact assessments.

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