Privacy Policy Generator is a web application that creates customized Privacy Policy and Terms of Use documents for mobile apps. It is intended for app developers preparing these documents for Android or iOS applications.
Borrowing it
Nothing to install: this file belongs to nisrulz/app-privacy-policy-generator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nisrulz/app-privacy-policy-generator/master/.agents/skills/add-thirdparty-service/SKILL.mdgit clone --depth 1 https://github.com/nisrulz/app-privacy-policy-generatorWrote 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/nisrulz/app-privacy-policy-generator/add-thirdparty-service)<a href="https://agentmods.dev/skills/nisrulz/app-privacy-policy-generator/add-thirdparty-service"><img src="https://agentmods.dev/badge/skills/nisrulz/app-privacy-policy-generator/add-thirdparty-service/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/nisrulz/app-privacy-policy-generator/add-thirdparty-service"><img src="https://agentmods.dev/badge/skills/nisrulz/app-privacy-policy-generator/add-thirdparty-service.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 | $0.00063 | $0.00362 |
| Opus 5 | $0.00032 | $0.00181 |
| Sonnet 5 | $0.00013 | $0.00072 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
add-thirdparty-service 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +15 lines 015bc29f345b
- 12d ago First seen · 40 lines · 63 tokens per session scan A fc87bbc9f8c1
add-thirdparty-service is a skill published in the GitHub repository nisrulz/app-privacy-policy-generator (4,680 stars, last pushed 8d ago), licensed AGPL-3.0. It adds 63 tokens to every session and 362 once invoked, about $0.0003 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 2026-08-30.
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The General Data Protection Regulation (EU) 2016/679 (GDPR) is the EU's comprehensive data protection law governing the collection, processing, storage, and transfer of personal data. This skill cover.
gdpr-privacy
Use when producing the GDPR artifacts a product publishes or hands over: a privacy policy true to what it processes, a cookie/consent banner, a lawful basis per purpose, an Art. 28 DPA, an SCC transfer mechanism, or a DSAR flow. Drafts for counsel review. NOT internal retention rules (that is data-policy), NOT…
data-policy
Use when building internal data-governance machinery: a retention schedule (period, lawful basis, expiry action, system where deletion runs), an Art. 6 lawful-basis register, an Art. 30 ROPA, or a consent capture/withdrawal model. NOT the public privacy notice or DSAR handling (that is gdpr-privacy), NOT SOC 2 posture…