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 seb1n/awesome-ai-agent-skills --skill terms-of-service-generationgit clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skillsWrote 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/seb1n/awesome-ai-agent-skills/terms-of-service-generation)<a href="https://agentmods.dev/skills/seb1n/awesome-ai-agent-skills/terms-of-service-generation"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/terms-of-service-generation/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/seb1n/awesome-ai-agent-skills/terms-of-service-generation"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/terms-of-service-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01925 |
| Opus 5 | $0.00019 | $0.00962 |
| Sonnet 5 | $0.00008 | $0.00385 |
| Haiku 4.5 | $0.00004 | $0.00193 |
Grade A, and why
terms-of-service-generation 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 9d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terms of Service Generation
Draft comprehensive Terms of Service (ToS) documents tailored to web applications, SaaS platforms, and digital marketplaces. This skill produces enforceable, jurisdiction-aware terms covering user rights and restrictions, acceptable use, liability, warranties, dispute resolution, and platform-specific concerns like content moderation, subscription billing, and API usage.
Workflow
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Understand Business Model — Determine the platform type (SaaS, marketplace, social platform, API service), revenue model (subscription, freemium, transaction fees, advertising), user types (consumers, businesses, or both), and the core value proposition. Identify whether the service handles payments, user content, third-party integrations, or regulated data. These factors dictate which ToS sections are essential.
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Define User Rights and Restrictions — Establish what users are permitted to do (acceptable use) and explicitly prohibited from doing (abuse, scraping, reverse engineering, circumventing access controls). Define account creation requirements including age minimums, accurate information obligations, and account security responsibilities. Specify the license granted to users and any usage limits tied to subscription tiers.
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Draft Liability and Warranty Sections — Craft disclaimers of warranties (AS-IS/AS-AVAILABLE), limitations of liability with monetary caps, and exclusions for consequential damages. Include specific carve-outs required by consumer protection laws in key jurisdictions. Address service availability commitments or explicitly disclaim uptime guarantees if no SLA exists.
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Add Dispute Resolution Mechanisms — Define the governing law and jurisdiction, include arbitration clauses with class action waivers where enforceable, specify small claims court exceptions, and outline informal dispute resolution steps that must precede formal proceedings. Consider whether B2B users should have different dispute terms than consumers.
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.
- 9d ago First seen · 104 lines · 39 tokens per session scan A 795bc7e7425b
terms-of-service-generation is a skill published in the GitHub repository seb1n/awesome-ai-agent-skills (179 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 1,925 once invoked, about $0.0002 per session on Opus 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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