What do I need to use AI Usage Policy?

The org; Current reality; Data landscape; Enterprise agreements in place; Risk appetite.

Is AI Usage Policy free to use?

Yes — run it free in the browser playground (no API key needed for the sponsored trial, or bring any provider key), or install it into Claude Code, Cursor, ChatGPT and more via npx pm-claude-skills. MIT-licensed and open source.

AI Usage Policy

Q: How do I know the AI Usage Policy output is good?

The skill verifies itself against its own quality checks: A stressed employee can answer "can I paste X into Y?" from the page in under a minute; Every data-class row carries examples from this org's real work; The sanctioned path is genuinely easier than shadow use (tools listed, approval lane fast); Disclosure rules are specific lines for specific cases, not a value statement.

🔵 Stable🕐 updated 2026-10-06 ✅ 5/5 🔷 SkillSpec L3 pm-aiwork

Write an AI usage policy people can actually follow — approved tools, data rules, disclosure duties, and review obligations, in one page instead of legal fog. Use when asked for a company AI policy, acceptable-use rules for ChatGPT/Claude/Copilot at work, guidance on what data may go into AI tools, or to fix a policy nobody reads. Produces a one-page usable policy plus the decision log behind it. Not a substitute for legal advice; pairs with compliance-checklist for regulatory mapping and ai-ethics-review for system-level assessments.

▶ Run it free — no key needed 📝 Grade your existing draft 📱 Use as an app View SKILL.md ↗ What changed

🗣 Say this to your agent

“Write a company AI policy.”“What are our rules for using ChatGPT and Claude at work?”“Write acceptable-use rules for Copilot.”“Fix an AI policy nobody reads.”

What to give it

▸The org — size, industry, regulatory exposure (health, finance, gov contracts change the answers)

▸Current reality — which AI tools are already in use — officially and (honestly) unofficially

▸Data landscape — what sensitive classes exist (customer PII, PHI, source code, financials, client-confidential)

▸Enterprise agreements in place — which tools have zero-retention/no-training terms signed vs consumer accounts

▸Risk appetite — enable-with-guardrails or restrict-hard? (Get the sponsor's one-word answer.)

✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

✓A stressed employee can answer "can I paste X into Y?" from the page in under a minute

✓Every data-class row carries examples from this org's real work

✓The sanctioned path is genuinely easier than shadow use (tools listed, approval lane fast)

✓Disclosure rules are specific lines for specific cases, not a value statement

✓The policy names its owner, review cadence, and question channel

✓The decision log exists — counsel reviews reasoning, not just conclusions

⚠️ What it refuses to do

Do not ban broadly and enforce never — that policy trains people to hide usage you most need to see

Do not write rules per-tool as primary structure — tools churn; data classes are the stable spine

Do not require human review of *everything* — undifferentiated duty guarantees zero real review

Do not copy another company's policy without the data-class mapping — the table is the policy

Do not present this as legal advice — it's the draft counsel refines, and the page says so

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y -p pm-claude-skills pm-claude-skills-mcp

Related skills

🔌 Embed this skill

Drop this on your blog, docs, or site — it renders a "Run this skill" card:

<div data-pm-skill="ai-usage-policy"></div>
<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>

💬 Discussion

AI Usage Policy is one of 1307 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog