privacy-policy-stephane-boghossian
A zero-hallucination privacy-policy generator that takes anyone — non-lawyer founder to lawyer — from a guided intake to a publishable, jurisdiction-aware…
Skill by Stephane Boghossian
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: testing, research, legal
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/privacy-policy-stephane-boghossian
What's inside
- Skill name
privacy-policy-stephane-boghossian- Description
- A zero-hallucination privacy-policy generator that takes anyone — non-lawyer founder to lawyer — from a guided intake to a publishable, jurisdiction-aware privacy policy. Jurisdiction-first: it detects which laws apply from where your users are, then drafts only the required clauses — GDPR/EU + UK, US (CCPA/CPRA, ~20 state laws, COPPA, sector overlays), and global/MENA (LGPD, Quebec Law 25, India DPDP, China PIPL, UAE/DIFC, Saudi PDPL), plus app-store, cookies, and AI/EU AI Act disclosures. Its rule: state only what you confirm; never invent a statute, citation, fine, or date — every claim is source-cited and QA-gated. Not legal advice.
- License
- AGPL-3.0
- Metadata
- author: Stephane Boghossian · license: agpl-3.0 · version: 2026-06-30
- Instructions
- 100 lines in SKILL.md · view on GitHub
Files (11)
- README.md
- SKILL.md
- template-privacy-policy.md · assets/
- edge-cases-failure-modes-qa.md · references/
- intake-questionnaire.md · references/
- jurisdictions-eu-uk.md · references/
- jurisdictions-global-mena.md · references/
- jurisdictions-us.md · references/
- platform-cookies-ai.md · references/
- sector-and-special-products.md · references/
- structure-clauses-and-craft.md · references/
SKILL.md (first lines)
# Privacy Policy Generator
Generate a **bulletproof, jurisdiction-aware privacy policy** for any business or product, usable by a
non-lawyer founder and trusted by a lawyer. The whole point of this skill is **correctness without
hallucination**: a fabricated statutory citation or a clause that doesn't match the user's real practices
is worse than no policy at all.
## ⚖️ The prime directive (read this first, never break it)
1. **State ONLY what the user confirms they actually do.** A privacy policy is a set of *enforceable
representations* (FTC §5; see the OkCupid/Match 2026 and Gateway Learning cases in the reference pack).
Saying more than is true is the #1 legal failure. Never default-in a flattering or risk-adding clause.
2. **Never invent law.** Do not generate a statute/section number, a fine amount, an effective date, or a
"the law requires X" claim unless it traces to the bundled reference pack (`references/`) or a live
`legal-data-hunter` lookup. If you're unsure of a specific, **name the law in plain terms** ("California's
CCPA/CPRA," "the EU GDPR") and describe the *right* functionally — or omit it. Uncertain → omit or mark
`[VERIFY]`, never guess.
3. **Confirm-don't-assume.** A clause renders only if a confirming intake answer exists. Smart defaults are
allowed ONLY for protective/negative clauses (no children, no selling, standard security framing, today's
date, strictest-common-denominator). Anything unanswered → a visible `[GAP — confirm before publishing]`
marker, never a guess.
4. **This is not legal advice.** Always include the disclaimer; INSIST on a lawyer for high-risk cases (§ workflow step 6).
## Workflow
### Step 1 — Pick the mode
Ask (or infer): **QUICK** (non-lawyer: only the must-ask questions, batched, smart defaults pre-filled, ~10
answers) or **EXPERT** (lawyer/thorough: full questions, clause-level control, citations, full reconciliation).
→ Read `references/intake-questionnaire.md` for both flows.
### Step 2 — Compute the applicable-law set FIRST (jurisdiction-first)
Ask intake Groups 0–2 (product type → business identity → **where users are located**). Location is the
law-selector. If "international / unknown," apply the **strictest-common-denominator** (GDPR + CCPA + COPPA).
This ordering is what prevents generic boilerplate.
### Step 3 — Gather practices (only the questions the selected laws require)
Work Groups 3–17 of `references/intake-questionnaire.md`. Batch questions; offer the smart default so the
user can accept with "yes." Flag every HARD-risk answer (children, health, biometric, AI-training, data
broker, fintech) as you go.
### Step 4 — Ground the legal content (zero-hallucination layer)
For each jurisdiction/topic in scope, pull the requirements from the matching reference file — never from
memory:
- `references/jurisdictions-eu-uk.md` — GDPR Art 13/14 checklist, lawful bases, rights, transfers, cookies, UK/DUAA, children ages, enforcement.
- `references/jurisdictions-us.md` — CCPA/CPRA contents + the two mandatory links + Notice at Collection, ~20 state laws, COPPA, GPC, ADMT, sector overlays, FTC §5.
- `references/jurisdictions-global-mena.md` — Brazil, Canada/Quebec, Australia, India, China, Japan/Korea/SA/Switzerland + UAE/DIFC/ADGM/Saudi/Bahrain/Qatar/Egypt/Turkey + cross-jurisdiction synthesis.
- `references/platform-cookies-ai.md` — when a policy is contractually forced; Apple/Google app-store rules; per-tool disclosures (GA, AdSense, Meta Pixel, Stripe, PayPal, Mailchimp, Cloudflare, session-recording, A/B); cookies/CMP/TCF/GPC/Consent-Mode; AI/LLM + EU AI Act Art 50 + ADM.
- `references/sector-and-special-products.md` — HIPAA/HBNR/MHMDA, GLBA, FERPA/SOPIPA, BIPA/Texas CUBI, Chrome extensions, IoT SB-327, GDPR Art 32/33/34 security/breach + US breach laws.
- **Optional live grounding:** if the `legal-data-hunter` MCP is connected (HAQQ's 230-jurisdiction tool),
use it to verify or fetch a jurisdiction-specific requirement with an inline citation — especially for a
jurisdiction not fully covered in the pack, or for the latest amendment. If it's not connected, rely on
the pack and clearly mark anything you couldn't verify.
### Step 5 — Assemble the policy
Use the section order + modular clause library in `references/structure-clauses-and-craft.md` and the
fill-in backbone in `assets/template-privacy-policy.md`. Enforce the writing craft (≈8th-grade reading
level unless EXPERT/formal, ~20 words/sentence, active voice, tables for data×purpose×basis×retention,
layered TL;DR). Use the DO phrasing; never the banned phrasing. Render jurisdiction-specific sections
(e.g., "Your California rights" with the Do-Not-Sell-or-Share + Limit-Use-of-Sensitive-PI links) only for
selected laws.
### Step 6 — Self-QA gate (do NOT skip)
Run the 12-point checklist in `references/edge-cases-failure-modes-qa.md` §3 on your own draft. In
particular:
- **Citation firewall:** scan for any statute number / fine amount / effective date; each must trace to the
pack or a live lookup, else remove or genericize. **Zero invented citations.** If `cite-guard` is
available, run it here.
- **Practice match:** every clause traces to a confirmed answer; surface any remaining `[GAP]`.
- **Mandatory links / disclaimer / lawyer-flag present** as triggered.
Do not present the policy as "ready" if any check fails — present it with the failures surfaced.
### Step 7 — Deliver the package
Output: the policy (in the requested language(s), RTL-aware for Arabic per `structure-clauses-and-craft.md`
§7) · a dated version header + "changes" clause · the conditional-links status · the **practices-confirmed
vs clauses-generated reconciliation** (the key anti-deception artifact) · the `[GAP]` list · the risk-tier /
"get a lawyer" banner. Default output format: Markdown (offer HTML on request). Recommend human review of any
machine translation.
## Hard rules (guardrails)
- Never claim the user honors GPC / DNT, encrypts data, has a DPO, or retains data for N days unless the user
confirmed it — these are enforceable and false ones are deceptive.
- Never fold **employee/HR** data into a consumer policy — recommend a separate notice.
- Never present this as legal advice. **INSIST on a lawyer** (HARD banner) for: under-13/children, health/PHI,
biometric, fintech/payments beyond a standard processor, selling data / data broker, AI training on user
data, large-scale/systematic monitoring, precise geolocation at scale, or simultaneous EU+UK+US+other coverage.
- Keep the policy in sync with reality: never output "please check this page periodically for changes" as the
only update mechanism — it is "insufficient and unfair" (WP260). Use a dated change log + active material-change notice.
## Companion documents
A privacy policy is necessary but not sufficient. Where relevant, tell the user they may also need: a
**Cookie Policy** + consent banner, a **DPA** (Art 28) for processors, a **RoPA** (Art 30), a HIPAA **Notice
of Privacy Practices** (health), a GLBA notice (finance), and a separate **employee privacy notice**. This
skill drafts the privacy policy (and an embedded cookie section / standalone cookie policy on request); it
flags the others rather than silently omitting them.
---
*Built from primary-source research (regulator texts, statutes, and official platform terms) verified
2026-06. Sources are cited inside each `references/` file. AGPL-3.0. Informational template — not legal advice.*From lawve-ai/awesome-legal-skills, AGPL-3.0.
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- Stars
- 895
- Forks
- 119
- Open issues
- 7
- Last commit (this folder)
- Jul 30, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 2026-06-30
- License
- AGPL-3.0
- Repository
- github.com/lawve-ai/awesome-legal-skills
- Website
- lawve.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
privacy-policy-stephane-boghossian skill. Agent Mart. https://agentmart.dev/skills/lawve-ai-privacy-policy-stephane-boghossian (last updated 2026-10-24)