policy-monitor

Detects drift between AI policy documents and approved AI practices by scanning governance outputs.

Updated Jun 17, 2026
One-click install
npx skills add https://github.com/tk1cntt/PhapChe --skill policy-monitor-tk1cntt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: policy-monitor
Source: https://github.com/tk1cntt/PhapChe/tree/main/docs/claude-for-legal-main/ai-governance-legal/skills/policy-monitor
Command: npx skills add https://github.com/tk1cntt/PhapChe --skill policy-monitor-tk1cntt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI policies drift out of sync with actual practice as new AI impact assessments, triage results, and vendor reviews accumulate. This Skill catches that drift by comparing approved AI practices against the current policy, so the policy never silently misrepresents what the organization actually does. ## Core Features & Use Cases - Weekly Sweep Mode: Scans the outputs folder for AIAs, triage results, and vendor AI reviews since the last sweep, then classifies gaps as REQUIRED (policy contradicts practice) or ADVISABLE (policy is silent). - Direct Query Mode: Answers "we want to start doing X — does our AI policy cover it?" by diffing a proposed practice against policy commitments and the use case registry. - Drafted Policy Language: For every gap, quotes the current policy, explains the gap, and drafts suggested language matching the existing policy's style. - Use Case: A legal team approved an AI-assisted hiring screening tool via an AIA, but the AI policy still says "we do not use AI in employment decisions." The sweep flags this as a REQUIRED update and drafts replacement language before the misrepresentation becomes a liability. ## Quick Start Ask the AI to run a policy sweep of recent AI governance outputs, or describe a proposed new AI practice and ask whether the current AI policy covers it.

Frequently Asked Questions about policy-monitor

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

FAQPage Schema
How do I check if our AI policy covers a new AI use case?

Describe the proposed AI practice in direct query mode, and the Skill diffs it against your current policy commitments and use case registry. It returns a verdict of covered, missing, or conflicting, plus drafted policy language for each gap.

How do I keep an AI policy up to date with approved AI practices?

Run the weekly sweep mode, which scans AIAs, triage results, and vendor AI reviews saved since the last sweep. It classifies each gap as REQUIRED or ADVISABLE and drafts suggested policy language for human review.

What is the difference between REQUIRED and ADVISABLE policy gaps?

A REQUIRED gap means the policy makes a commitment that an approved practice contradicts, creating a material misrepresentation. An ADVISABLE gap means the policy is silent but not in conflict, so updating is cleaner but not urgent.

Does the policy monitor update the AI policy automatically?

No. It drafts suggested language and flags decisions, but a human reviews and approves every change. It also only updates the last sweep date and gap count after the human acknowledges the sweep results.

What are the limitations of automated AI policy drift detection?

The sweep only reads structured outputs saved to the configured folder — it cannot see email, Slack, or informal decisions. It also does not track incoming regulations, which requires a separate regulatory gap analysis.