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 T4wroot/agentic-seo --skill privacygit clone --depth 1 https://github.com/T4wroot/agentic-seoWrote 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/t4wroot/agentic-seo/privacy)<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/privacy"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/privacy/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/t4wroot/agentic-seo/privacy"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/privacy.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 | $0.00073 | $0.02339 |
| Opus 5 | $0.00036 | $0.01170 |
| Sonnet 5 | $0.00015 | $0.00468 |
| Haiku 4.5 | $0.00007 | $0.00234 |
Grade A, and why
privacy-page-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 5d 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.
This is a copy
100% identical to privacy-page-generator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pages: Privacy Policy
Guides Privacy Policy page content, structure, compliance, and AI-specific disclosures.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Initial Assessment
Identify:
- Product category: Free anonymous, free with account, freemium, subscription SaaS, enterprise/B2B, API/developer, marketplace, e-commerce, content/media, mobile app, AI agent/MCP — see legal-page-generator §Product Categories
- Data actually collected: URLs, prompts, uploads, analytics, cookies, account data, payment data — be exhaustive
- AI involvement: Whether AI models process user data and whether data is used for training (see §AI Disclosures)
- Jurisdiction needs: Which privacy regulations apply — see legal-page-generator §Jurisdiction Decision Framework
- Indexing: Typically index (see legal-page-generator §Indexing Strategy)
Required Sections (14-Section Framework)
1. Who We Are
- Operator name (or "the operator of [Product]" for anonymous operations)
- Tool purpose in one plain-language sentence
- Contact email
2. What [Product] Does
- One paragraph explaining the core function
- Mention that no account or payment is required (if applicable)
- Set expectations: this is a [free/paid] [tool type] that does [X]
3. Information We Collect
Structure with clear sub-sections:
What We Do NOT Collect (trust signal — include for all products):
- No accounts, no passwords, no user profiles
- No payment information (if free)
- No contact lists or address books
- No precise location data
- Adapt this list to what's actually true for the product
Data You Submit (URLs, prompts, uploads, form inputs):
- What happens to it: processed for [purpose], sent to [AI providers if applicable]
- Whether it's stored: "processed in-memory and discarded after the request" or retention period
- Whether it's used for training: "not used to train AI models" (if true — state explicitly)
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.
- 5d ago First seen · 242 lines · 73 tokens per session scan A c646d631e76b
privacy-page-generator is a skill published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 6d ago), licensed MIT. It adds 73 tokens to every session and 2,339 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to privacy-page-generator, differing in 0 lines, and is treated as a copy.
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