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.
npx skills add ThomasMoreAI/legal-skills-open --skill terms-generatorgit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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.
[](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/terms-generator)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/terms-generator"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/terms-generator/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.
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/terms-generator"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/terms-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00069 | $0.01946 |
| Opus 5.5 | $0.00028 | $0.00778 |
| Sonnet 5.5 | $0.00014 | $0.00389 |
| Haiku 4.5 | $0.00007 | $0.00195 |
Grade A, and why
terms-generator 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
-
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)
-
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
-
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
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.
- 1mo ago First seen · 204 lines · 69 tokens per session scan A cd73064c7b31
terms-generator is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 69 tokens to every session and 1,946 once invoked, about $0.0003 per session on Opus 5.5. 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.
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