Generates comprehensive terms of service by analyzing a website or application to detect business type, data collection, and user interactions.

MITAuto-check passedLegal & Compliance

Install Terms Generator

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill terms-generator -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace terms-generator --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/terms-generator .claude/skills/terms-generator && 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
terms-generator
GitHub stars
2.8k
Token cost
~2.1k tokens
SKILL.md length
826 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Generates comprehensive terms of service by analyzing a website or application to detect business type, data collection, and user interactions.

  • Works in 9 steps: Analyze the website or application. Use… → If a codebase is available instead, use… → Gather business details from the user → …
  • Launching a website
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Terms Generator is an agent skill from jeremylongshore/tons-of-skills-marketplace. Generates comprehensive terms of service by analyzing a website or application to detect business type, data collection, and user interactions. Use when launching a website, app, or SaaS product that needs terms of service with GDPR/CCPA compliance. Trigger with "/terms-generator" or "create terms of service for my website".

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Legal & Compliance, covering Privacy and GDPR and Policy and terms drafting. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Launching a website
  • SaaS product that needs terms of service with GDPR/CCPA compliance
  • With /terms-generator
  • Create terms of service for my website

Example prompts

  • “/terms-generator”
  • “create terms of service for my website”
  • “Use the terms-generator skill to generate comprehensive terms of service by analyzing a website or application to detect business type, data…”
  • “/terms-generator”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Glob, Grep, WebFetch

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Analyze the website or application. Use WebFetch to scan the target URL. Identify
  2. If a codebase is available instead, use Glob and Read to scan for
  3. Gather business details from the user
  4. Determine applicable compliance frameworks
  5. Generate the 16-section Terms of Service
  6. Add plain English summaries. After each section, include a blockquote
  7. Insert compliance-specific provisions
  8. Tag all assumptions. Place [VERIFY] before any clause based on inferred information
  9. Write the output file using the naming convention below.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Glob
    • Grep
    • WebFetch

    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

    Links to these hosts (documentation or services it may open):

    • example-saas.com
    • ftc.gov
    • oag.ca.gov
    • commonpaper.com
    • termly.io
    • sba.gov

    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.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Terms Generator loads about 2.1k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 826 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 826 words, ~2,106 tokens.

Download SKILL.mdSave it as .claude/skills/terms-generator/SKILL.md (or your agent's skills folder).
name
terms-generator
description
Generates comprehensive terms of service by analyzing a website or application to detect business type, data collection, and user interactions. Use when launching a website, app, or SaaS product that needs terms of service with GDPR/CCPA compliance. Trigger with "/terms-generator" or "create terms of service for my website".
allowed-tools
Read, Write, Glob, Grep, WebFetch
compatibility
Designed for Claude Code
version
1.1.0
author
Intent Solutions <jeremy@intentsolutions.io>
license
MIT
tags
legal, terms-of-service, compliance, gdpr, ccpa

Terms of Service Generator

Overview

Scans a website or application to understand the business model, user interactions, data collection practices, and third-party integrations, then generates a comprehensive terms of service document with 16 sections. Includes GDPR and CCPA compliance provisions, plain English summaries after each section, and [VERIFY] tags for assumptions that require human confirmation.

The generated ToS adapts its language and provisions based on the detected business type (e-commerce, SaaS, marketplace, content platform, mobile app, etc.).

Legal Disclaimer: This skill generates template documents for informational and educational purposes only. Generated terms of service are not a substitute for legal advice. All documents should be reviewed by a licensed attorney before publication. Regulatory requirements vary by jurisdiction and business type. No attorney-client relationship is created by using this tool.

Prerequisites

  • A live website URL or local codebase to analyze
  • Knowledge of the business entity name and jurisdiction
  • Understanding of whether the service involves payments, user accounts, or user-generated content

Instructions

  1. Analyze the website or application. Use WebFetch to scan the target URL. Identify:

    • Business type (SaaS, e-commerce, marketplace, content, API, mobile app)
    • User interaction patterns (accounts, purchases, subscriptions, content uploads)
    • Data collection mechanisms (forms, cookies, analytics scripts, payment processors)
    • Third-party integrations (Stripe, Google Analytics, social login, CDNs)
    • Geographic indicators (language, currency, server location)
  2. If a codebase is available instead, use Glob and Read to scan for:

    • Cookie/tracking implementations
    • Authentication flows
    • Payment integrations
    • User data models
    • API endpoints that accept user input
  3. Gather business details from the user:

    • Legal entity name and type (LLC, Corp, sole proprietor)
    • Business address and jurisdiction
    • Contact email for legal notices
    • Minimum user age requirement
    • Whether the service is free, paid, or freemium
  4. Determine applicable compliance frameworks:

    • GDPR — if serving EU/EEA users (detected via language, .eu domain, Euro pricing)
    • CCPA/CPRA — if serving California users or meeting revenue/data thresholds
    • COPPA — if the service could attract users under 13
    • ADA/WCAG — if a US-based public-facing service
    • PCI-DSS — if processing payment card data
    • CAN-SPAM — if sending marketing emails
  5. Generate the 16-section Terms of Service:

    #SectionCovers
    1Agreement to TermsAcceptance mechanism, effective date
    2Description of ServiceWhat the service provides
    3User AccountsRegistration, security, age requirements
    4Acceptable Use PolicyProhibited conduct, content standards
    5User-Generated ContentOwnership, licenses, moderation rights
    6Intellectual PropertyCompany IP rights, trademarks, DMCA
    7Payment TermsPricing, billing cycles, refunds (if applicable)
    8Free Trials & SubscriptionsTrial terms, auto-renewal, cancellation
    9Privacy & Data CollectionReference to privacy policy, GDPR/CCPA summary
    10Third-Party ServicesLinks, integrations, disclaimers
    11Disclaimers & Warranties"As-is" provision, warranty limitations
    12Limitation of LiabilityLiability caps, excluded damages
    13IndemnificationUser indemnification obligations
    14TerminationGrounds, notice, effect of termination
    15Governing Law & DisputesJurisdiction, arbitration, class action waiver
    16General ProvisionsModifications, severability, entire agreement, contact
  6. Add plain English summaries. After each section, include a blockquote: > **In Plain English:** {simple summary of what this means for users}

  7. Insert compliance-specific provisions:

    • GDPR: Data processing legal basis, right to erasure, DPO contact, data portability
    • CCPA: "Do Not Sell My Personal Information" rights, opt-out mechanism
    • COPPA: Age verification, parental consent mechanism
  8. Tag all assumptions. Place [VERIFY] before any clause based on inferred information:

    • [VERIFY: assumed SaaS model based on subscription pricing detected]
    • [VERIFY: jurisdiction set to Delaware — confirm with business owner]
    • [VERIFY: assumed no users under 13 — confirm age policy]
  9. Write the output file using the naming convention below.

Show full SKILL.md (258 more words)Show less

Output

Generate a single Markdown file named TERMS-OF-SERVICE-{company}-{YYYY-MM-DD}.md with:

# Terms of Service
**{Company Name}**

**Last Updated:** {date}
**Effective Date:** {date}

---

## Table of Contents
1. [Agreement to Terms](#1-agreement-to-terms)
{... all 16 sections ...}

---

## 1. Agreement to Terms
{formal legal text}

> **In Plain English:** {simple explanation}

## 2. Description of Service
{formal legal text}

> **In Plain English:** {simple explanation}

{... sections 3-16 ...}

---

## Contact Information
{business contact details}

---
**[VERIFY] Tags Summary:**
{numbered list of all assumptions needing confirmation}

**Compliance Frameworks Applied:** {GDPR, CCPA, etc.}
**Generated by:** Legal Assistant Plugin — Not a substitute for legal counsel.

Error Handling

ErrorCauseSolution
Website unreachableURL is down or behind authAsk user for a description of the service or local codebase path
Cannot determine business typeMinimal website contentAsk user directly about their business model
Payment detection ambiguousCannot tell if free or paidAsk user to confirm pricing model
International complexityMultiple jurisdictions detectedGenerate provisions for all detected jurisdictions, add [VERIFY]
Dynamic content not scannableSPA with client-side renderingAsk user to describe features or provide sitemap
Missing company detailsUser did not provide entity infoUse [VERIFY] placeholders, list in summary

Examples

Example 1: SaaS Application

Request: "Create terms of service for https://example-saas.com — we're a project management tool"

Result: TERMS-OF-SERVICE-ExampleSaaS-2026-04-02.md with:

  • 16 sections with SaaS-specific provisions
  • Payment terms for subscription model (detected via Stripe integration)
  • GDPR provisions (EU users detected via multi-language support)
  • CCPA provisions (US-based company)
  • User-generated content section for project data
  • 8 [VERIFY] tags for assumptions

Example 2: E-Commerce Store

Request: "Generate ToS for my Shopify store selling handmade jewelry"

Result: TERMS-OF-SERVICE-HandmadeJewels-2026-04-02.md with:

  • E-commerce focused provisions (returns, shipping, product descriptions)
  • Payment terms referencing Shopify Payments / PayPal
  • No user-generated content section (simplified)
  • Consumer protection provisions per FTC guidelines
  • CCPA opt-out mechanism

Resources

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/terms-generator of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Terms Generator 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.

Terms Generator compared with similar skills
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Terms Generator this skilljeremylongshore/tons-of-skills-marketplace2.8k—~2.1kAutomated safety check: PassMIT
Pii Contract Analyzegregmos/PII-Shield150—~8.9kAutomated safety check: NotesMIT
Privacy Eukimlawtech/korean-privacy-terms587—~968Automated safety check: PassApache-2.0
Terms Of Service Generatorzubair-trabzada/ai-legal-claude1.8k—~2.9kAutomated safety check: PassNone
Tos Clause Scannerzebbern/claude-code-guide4.7k1 repos~3.3kAutomated safety check: PassMIT
Legal Advisoraiskillstore/marketplace4339 repos~615Automated safety check: PassNone

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Questions about Terms Generator

What does Terms Generator do?

Generates comprehensive terms of service by analyzing a website or application to detect business type, data collection, and user interactions. Terms Generator is an agent skill from jeremylongshore/tons-of-skills-marketplace. Generates comprehensive terms of service by analyzing a website or application to detect business type, data collection, and user interactions.

When should I use Terms Generator?

Terms Generator fits situations like: launching a website; saaS product that needs terms of service with GDPR/CCPA compliance; with /terms-generator; create terms of service for my website.

How do I install Terms Generator in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill terms-generator -a claude-code`. Or copy the skill folder (skills/.curated/terms-generator in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/terms-generator in your project. Claude Code loads it when a task matches its description.

How do I install Terms Generator in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill terms-generator -a codex`. Or copy the skill folder (skills/.curated/terms-generator in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/terms-generator in your project. Codex loads it when a task matches its description.

Can I use Terms Generator 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 jeremylongshore/tons-of-skills-marketplace --skill terms-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/terms-generator, .gemini/skills/terms-generator, .github/skills/terms-generator and .opencode/skills/terms-generator in your project.

What does Terms Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Terms Generator is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Glob, Grep, WebFetch. Compatibility (from SKILL.md): Designed for Claude Code.

Does Terms Generator access the network?

SKILL.md names 6 domains. As links in the text: example-saas.com, ftc.gov, oag.ca.gov, commonpaper.com, termly.io and sba.gov. This is read from the text; nothing was executed.

Is Terms Generator 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 Terms Generator use?

Terms Generator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Terms Generator use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Terms Generator?

Skills that share tags, products or a category with Terms Generator: Pii Contract Analyze (gregmos/PII-Shield, 150 stars), Privacy Eu (kimlawtech/korean-privacy-terms, 587 stars), Terms Of Service Generator (zubair-trabzada/ai-legal-claude, 1.8k stars) and Tos Clause Scanner (zebbern/claude-code-guide, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Terms Generator?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.