Agent skill

Privacy Policy Stephane Boghossian

by lawve-ai in lawve-ai/awesome-legal-skills

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.

AGPL-3.0Auto-check passedLegal & Compliance

Install Privacy Policy Stephane Boghossian

skills CLI
$ npx skills add lawve-ai/awesome-legal-skills --skill privacy-policy-stephane-boghossian -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lawve-ai/awesome-legal-skills privacy-policy-stephane-boghossian --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/privacy-policy-stephane-boghossian .claude/skills/privacy-policy-stephane-boghossian && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
privacy-policy-stephane-boghossian
GitHub stars
847
Token cost
~2.2k tokens
SKILL.md length
971 words
Files
11 (incl. references, assets)
Skills in repo
154
Repo updated
First seen
Licence
AGPL-3.0

At a glance

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.

  • Works in 7 steps: Pick the mode → Compute the applicable-law set FIRST… → Gather practices (only the questions the… → …
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers ⚖️ The prime directive (read…, Workflow, Hard rules (guardrails) and Companion documents
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Privacy Policy Stephane Boghossian is an agent skill from lawve-ai/awesome-legal-skills. 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…

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files and assets (for example `README.md`, `assets/template-privacy-policy.md` and `references/edge-cases-failure-modes-qa.md`).

It sits in Legal & Compliance, covering Privacy and GDPR. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is AGPL-3.0.

When your agent uses it

  • Tasks that involve Privacy and GDPR

Example prompts

  • “/privacy-policy-stephane-boghossian”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Pick the mode
  2. Compute the applicable-law set FIRST (jurisdiction-first)
  3. Gather practices (only the questions the selected laws require)
  4. Ground the legal content (zero-hallucination layer)
  5. Assemble the policy
  6. Self-QA gate (do NOT skip)
  7. Deliver the package

What it can do on your machine

Read from SKILL.md and the folder at commit 045f738. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Privacy Policy Stephane Boghossian loads about 2.2k tokens when it runs, and up to ~26k if it reads all its reference files. Until then it costs about 170 tokens; SKILL.md has 971 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~170
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~26k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its AGPL-3.0 licence (© lawve-ai). 971 words, ~2,175 tokens.

Download SKILL.mdSave it as .claude/skills/privacy-policy-stephane-boghossian/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
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.
version
1.0.0
license
AGPL-3.0
keywords
privacy policy, privacy notice, GDPR, CCPA, CPRA, data protection, cookie policy, COPPA, app privacy, LGPD, PDPL
language
English
triggers
write a privacy policy, create a privacy policy, generate a privacy policy, privacy policy for my app/website/SaaS/store, GDPR privacy policy, CCPA/CPRA…
metadata.author
Stephane Boghossian
metadata.license
agpl-3.0
metadata.version
2026-06-30

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.

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.

Show full SKILL.md (375 more words)Show less
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.

© lawve-ai, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files (references, assets) in skills/privacy-policy-stephane-boghossian of lawve-ai/awesome-legal-skills.

  • SKILL.md
  • README.md
  • assets/template-privacy-policy.md
  • references/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

Open the folder on GitHubat commit 045f738

Compare with similar skills

Privacy Policy Stephane Boghossian next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Privacy Policy Stephane Boghossian compared with similar skills
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Privacy Policy Stephane Boghossian this skilllawve-ai/awesome-legal-skills847—~2.2kAutomated safety check: PassAGPL-3.0
C15tc15t/c15t1.9k1 repos~1.6kAutomated safety check: PassApache-2.0
HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed5.5k—~1.7kAutomated safety check: PassApache-2.0
Korean Privacy Termskimlawtech/korean-privacy-terms587—~2.9kAutomated safety check: PassApache-2.0
Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~3.9kAutomated safety check: PassMIT
Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~2.3kAutomated safety check: PassMIT

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Questions about Privacy Policy Stephane Boghossian

What does Privacy Policy Stephane Boghossian do?

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. Privacy Policy Stephane Boghossian is an agent skill from lawve-ai/awesome-legal-skills. 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.

When should I use Privacy Policy Stephane Boghossian?

Privacy Policy Stephane Boghossian fits situations like: tasks that involve Privacy and GDPR.

How do I install Privacy Policy Stephane Boghossian in Claude Code?

Run `npx skills add lawve-ai/awesome-legal-skills --skill privacy-policy-stephane-boghossian -a claude-code`. Or copy the skill folder (skills/privacy-policy-stephane-boghossian in lawve-ai/awesome-legal-skills) into .claude/skills/privacy-policy-stephane-boghossian in your project. Claude Code loads it when a task matches its description.

How do I install Privacy Policy Stephane Boghossian in Codex?

Run `npx skills add lawve-ai/awesome-legal-skills --skill privacy-policy-stephane-boghossian -a codex`. Or copy the skill folder (skills/privacy-policy-stephane-boghossian in lawve-ai/awesome-legal-skills) into .agents/skills/privacy-policy-stephane-boghossian in your project. Codex loads it when a task matches its description.

Can I use Privacy Policy Stephane Boghossian in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lawve-ai/awesome-legal-skills --skill privacy-policy-stephane-boghossian -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/privacy-policy-stephane-boghossian, .gemini/skills/privacy-policy-stephane-boghossian, .github/skills/privacy-policy-stephane-boghossian and .opencode/skills/privacy-policy-stephane-boghossian in your project.

What does Privacy Policy Stephane Boghossian need to run?

SKILL.md names no scripts, command-line tools or credentials: Privacy Policy Stephane Boghossian is instructions for the agent only.

Does Privacy Policy Stephane Boghossian access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Privacy Policy Stephane Boghossian safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Privacy Policy Stephane Boghossian use?

Privacy Policy Stephane Boghossian is published under the AGPL-3.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Privacy Policy Stephane Boghossian use?

About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 24k tokens, read only when the agent opens those files.

What are the alternatives to Privacy Policy Stephane Boghossian?

Skills that share tags, products or a category with Privacy Policy Stephane Boghossian: C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Korean Privacy Terms (kimlawtech/korean-privacy-terms, 587 stars) and Gdpr Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Privacy Policy Stephane Boghossian?

lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 847 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.

Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.