privacy-policy-drafting

privacy-policy-drafting is a skill for Claude Code, Codex from ThomasMoreAI/legal-skills-open. It costs 24 tokens per session (1,708 once invoked), scanned A, original, Apache-2.0.

A privacy-policy drafting assistant for businesses that collect personal data. It uses business details, data-collection practices, technical systems, and applicable laws such as GDPR and CCPA to structure the policy.

In plain words
What is it for?
Use it to draft or update a privacy policy for a website, app, or service, including data categories, storage, retention, legal bases, and user rights.
Why use it?
It helps turn a product’s actual data handling into the disclosures a privacy policy needs. It can also account for data collected through forms, cookies, analytics, third parties, and derived usage patterns.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to draft or update a privacy policy for a website, app, or service, including data categories, storage, retention, legal bases, and user rights.

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Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/privacy-policy-drafting
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ThomasMoreAI/legal-skills-open --skill privacy-policy-drafting
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for privacy-policy-drafting

README.md
[![agentmods](https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/privacy-policy-drafting/github.svg)](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/privacy-policy-drafting)
Your own site
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/privacy-policy-drafting"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/privacy-policy-drafting/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for privacy-policy-drafting

Your own site · 80×15
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/privacy-policy-drafting"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/privacy-policy-drafting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,708 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.01708
Opus 5 $0.00012 $0.00854
Sonnet 5 $0.00005 $0.00342
Haiku 4.5 $0.00002 $0.00171

Measured 9d ago against content hash d5eb2d930f21, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

privacy-policy-drafting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

cross-jurisdiction/data-protection/skills/privacy-policy-drafting/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Privacy Policy Drafting

Generate comprehensive, legally-informed privacy policies that address GDPR, CCPA, and other applicable data protection regulations. This skill takes business context, data collection practices, and technical architecture as inputs and produces a structured privacy policy with all required disclosures, consent mechanisms, and data subject rights sections.

Workflow

  1. Gather Business Information — Collect details about the business entity (name, jurisdiction, contact info), the product or service offered, target user demographics, and geographic reach. Determine which regulations apply based on where users are located, not just where the business is incorporated. A US-based SaaS serving EU customers must address GDPR.

  2. Identify Data Collection Practices — Map every category of personal data collected: direct inputs (forms, account creation), automatic collection (cookies, analytics, device info, IP addresses), third-party sources (OAuth providers, data brokers), and derived data (usage patterns, preferences). For each category, document the collection method, storage location, retention period, and whether it includes sensitive/special category data.

  3. Map Legal Requirements — Cross-reference collected data types against applicable frameworks. GDPR requires lawful basis for each processing activity, CCPA requires disclosure of sale/sharing practices and opt-out mechanisms, COPPA applies if users under 13 may access the service, and sector-specific rules (HIPAA, FERPA, GLBA) may layer additional requirements. Identify all required policy sections.

  4. Draft Policy Sections — Generate each section with plain-language explanations alongside legally precise disclosures. Required sections include: data collected and purposes, legal basis for processing (GDPR), data sharing and third parties, cookies and tracking technologies, data retention, user rights and how to exercise them, international data transfers, children's privacy, security measures, and policy change notification procedures.

Read the full file on GitHub · 104 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 104 lines · 24 tokens per session scan A d5eb2d930f21

Subscribe to this mod's changes

privacy-policy-drafting is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 1,708 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.