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Terms Of Service

Community
shawnpang
terms-of-service

When the user needs to draft, review, or update terms of service for their SaaS product or web application.

Overview

Publishershawnpang
Repositorystartup-founder-skills
Skill nameterms-of-service
Stars
368
Forks
43
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by shawnpang on GitHub. Read the source before you install it.

Installation

Install the Terms Of Service AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/shawnpang/startup-founder-skills/tree/main/skills/terms-of-service
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/shawnpang/startup-founder-skills.git /tmp/startup-founder-skills
mkdir -p .claude/skills
cp -r /tmp/startup-founder-skills/skills/terms-of-service .claude/skills/terms-of-service
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Terms Of Service in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Terms Of Service on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Terms Of Service is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Terms of Service

When to Use

Activate when a founder needs to create terms of service for a product launch, update existing terms to reflect new features or business model changes, or assess whether current terms adequately protect the company. Also activate when the user asks about acceptable use policies, liability limitations, or user agreement structures.

Context Required

  • From startup-context: product type, platform, business model, pricing structure, target customer (B2B vs B2C), geographic markets, company legal entity and jurisdiction.
  • From the user: what the product does, how users interact with it, whether users create or upload content, whether the product integrates with third-party services, payment/subscription structure, any past disputes or known risk areas, and whether the audience includes enterprise customers who will negotiate terms.

Workflow

  1. Scope assessment — Determine the product type (SaaS, marketplace, API, mobile app) and audience (consumers, SMBs, enterprise). This dictates the tone, enforceability approach, and which clauses are essential.
  2. Risk identification — Map the key liability scenarios for this specific product: data loss, service outages, user-generated content issues, integration failures, billing disputes.
  3. Draft terms — Write each section using the template below. Use plain language with legally precise phrasing. Avoid unnecessary jargon while maintaining enforceability.
  4. Enforceability review — Flag clauses that may be unenforceable in certain jurisdictions (e.g., blanket liability exclusions are limited in the EU, mandatory arbitration is restricted in some states and countries).
  5. Presentation guidance — Recommend how to present the terms (clickwrap vs browsewrap), versioning strategy, and how to notify users of changes.

Output Format

A terms of service document with the following sections.

Section Template

  1. Agreement to Terms — How acceptance works (clickwrap recommended), age requirements, authority to bind an organization.
  2. Description of Service — What the product does, what it does not guarantee, service levels if applicable.
  3. Account Registration & Security — Account creation requirements, user responsibilities for credentials, account sharing policy.
  4. Acceptable Use Policy — Prohibited activities (abuse, scraping, reverse engineering, illegal use, competitive benchmarking). Be specific to the product.
  5. User Content & Data — Who owns user-uploaded content, license grants the company needs to operate the service, what happens to data on termination.
  6. Data Ownership & Portability — Clarify that customer data belongs to the customer. Describe export capabilities and formats.
  7. Intellectual Property — Company retains ownership of the platform, trademarks, proprietary algorithms. User gets a limited license to use the service.
  8. Payment & Billing — Subscription terms, billing cycles, price change notice periods, refund policy, what happens on failed payments.
  9. Free Trials & Freemium — Terms specific to free tiers, conversion expectations, feature limitations, data retention after trial expiry.
  10. Service Availability & SLAs — Uptime commitments (or lack thereof), scheduled maintenance windows, force majeure.
  11. Limitation of Liability — Cap on damages (typically limited to fees paid in prior 12 months), exclusion of consequential/indirect damages.
  12. Indemnification — User indemnifies company for misuse, content violations, third-party claims arising from user's use.
  13. Termination — How either party can terminate, what happens to data post-termination (retention period, deletion timeline), survival clauses.
  14. Dispute Resolution — Governing law, jurisdiction, arbitration clause if applicable, class action waiver if applicable.
  15. Modifications to Terms — How changes are communicated, notice period (30 days recommended), continued use as acceptance.
  16. Miscellaneous — Severability, entire agreement, assignment, waiver, notices.

Frameworks & Best Practices

Plain Language Approach

  • Write so a non-lawyer customer can understand their obligations and rights.
  • Use "you" and "we" consistently. Define them once at the top.
  • Use short paragraphs and bullet points for lists of prohibited activities.
  • Bold or highlight the most impactful clauses (liability caps, auto-renewal, arbitration).
  • Provide a "key terms summary" sidebar or header for each section with a one-line plain English explanation.

SaaS-Specific Considerations

  • Data ownership is non-negotiable. Customer data must unambiguously belong to the customer. The company gets only the license needed to provide the service.
  • Aggregated/anonymized data. If you use customer data in aggregate for analytics, benchmarking, or model training, disclose this explicitly and ensure it is truly de-identified.
  • API terms. If you offer an API, specify rate limits, authentication requirements, and restrictions on redistribution of API output.
  • Integration liability. Clarify that the company is not responsible for third-party integrations or data passed to third-party services at the user's direction.
  • Sub-processors. List or link to sub-processors (hosting, payment, analytics). Enterprise customers expect this.

Enforceability Guardrails

  • Clickwrap over browsewrap. Require an affirmative action (checkbox, click) to accept terms. Browsewrap ("by using this site you agree") is weakly enforceable.
  • Conspicuous disclosure. Arbitration clauses, auto-renewal terms, and liability limitations must be prominently displayed to be enforceable in many jurisdictions.
  • Consumer protection limits. EU and UK consumer law restricts unfair terms. Blanket liability exclusions for negligence are generally unenforceable for consumers.
  • Auto-renewal laws. California (ARL), FTC guidelines, and EU consumer directives require clear disclosure of auto-renewal and easy cancellation.
  • Unilateral modification. Courts increasingly scrutinize "we can change these terms at any time" clauses. Provide reasonable notice (30 days) and allow termination if users disagree.

B2B vs B2C Differences

  • B2B: Expect negotiation on liability caps, SLAs, indemnification, and data processing terms. Have an enterprise-tier addendum ready.
  • B2C: Consumer protection laws are more protective. Arbitration may be restricted. Cooling-off periods may apply.
  • Hybrid (self-serve B2B): Start with standard terms but have a process for enterprise customers to request modifications via a Master Service Agreement.

Related Skills

  • privacy-policy — Must be drafted together. Terms should reference the privacy policy for data handling practices. Definitions (like "personal data") should be consistent.
  • contract-review — When enterprise customers redline your terms, use contract-review to assess their proposed changes.

Examples

Example 1: B2B SaaS product

User: "We're launching a B2B analytics platform with a freemium tier and paid plans starting at $49/month. We need terms of service."

Good output excerpt:

6. Data Ownership & Portability

Your Data is yours. We claim no ownership over any data, content, or information you submit to the Service ("Customer Data"). You grant us a limited, non-exclusive license to use Customer Data solely to provide and improve the Service.

You may export your Customer Data at any time via the dashboard export feature in CSV or JSON format. Upon termination of your account, we will retain your Customer Data for 30 days to allow retrieval, after which it will be permanently deleted from our active systems and removed from backups within 90 days.

We may generate aggregated, anonymized statistics about platform usage ("Aggregated Data") that cannot identify you or any individual user. We own Aggregated Data and may use it for benchmarking, research, and product improvement.

Example 2: Marketplace with user-generated content

User: "Our platform lets freelancers sell digital templates. We need terms covering both buyers and sellers."

Good output excerpt:

5. User Content

For Sellers: You retain ownership of all templates and digital assets you upload ("Seller Content"). By listing Seller Content on the platform, you grant us a non-exclusive, worldwide license to display, distribute, and promote your Seller Content in connection with operating the marketplace. This license ends 30 days after you remove the content, except for copies already purchased by Buyers.

For Buyers: Your purchase grants you a license to use the template as specified in the Seller's license terms. You do not acquire ownership of the underlying intellectual property. Resale, redistribution, or sub-licensing of purchased templates is prohibited unless the Seller's license explicitly permits it.

Our Responsibilities: We do not pre-screen Seller Content. We are a platform, not a publisher. However, we reserve the right to remove content that violates these Terms or applicable law.


Disclaimer: This skill generates draft terms of service for educational and planning purposes only. It does not constitute legal advice. Terms of service must be tailored to your specific product, business model, and applicable jurisdictions. Enforceability varies by jurisdiction and depends on how terms are presented to users. Always have a qualified attorney review your final terms of service before publication.

Frequently asked questions

What does the Terms Of Service AI skill do?

When the user needs to draft, review, or update terms of service for their SaaS product or web application.

Why use Terms Of Service on TypingMind?

Because you install it once and use it with any model. Terms Of Service is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Terms Of Service in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shawnpang/startup-founder-skills/tree/main/skills/terms-of-service. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Terms Of Service?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Terms Of Service?

As many as you like. As long as a model supports skills, you can use Terms Of Service with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Terms Of Service AI skill free?

Yes. It is published on GitHub by shawnpang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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