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 hamzabellouch/agent-skills --skill google-mobile-ads-interstitialgit clone --depth 1 https://github.com/hamzabellouch/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/hamzabellouch/agent-skills/google-mobile-ads-interstitial)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/google-mobile-ads-interstitial"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/google-mobile-ads-interstitial/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/hamzabellouch/agent-skills/google-mobile-ads-interstitial"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/google-mobile-ads-interstitial.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 | $0.00059 | $0.00314 |
| Opus 5 | $0.00030 | $0.00157 |
| Sonnet 5 | $0.00012 | $0.00063 |
| Haiku 4.5 | $0.00006 | $0.00031 |
Grade A, and why
google-mobile-ads-interstitial 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 11d 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.
What it actually says
Google Mobile Ads SDK - Interstitial Ads
Interstitial ads show full-page ads for users on mobile apps. Interstitial ads are designed to be placed between content and are best placed at natural app transition points.
Ad Placement Guidelines
CRITICAL: You MUST evaluate and apply the following Ad Placement Guidelines before proceeding with any interstitial ad implementation.
- Determine Ad Placement:
- Identify the target file where the ad should be placed. Ask if unsure.
Workflow
-
Determine the user's platform: Identify if the project is Android or iOS. If unclear, ask before proceeding.
-
Read the platform guide for implementation details:
- Android:
references/android-interstitial.md - iOS:
references/ios-interstitial.md
- Android:
-
Follow these steps in order:
- Load the ad
- Register for ad event callbacks
- Show the ad
- Verify the implementation
What ships with it
2 files 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.
- 11d ago First seen · 40 lines · 59 tokens per session scan A 1e55548f8e81
google-mobile-ads-interstitial is a skill published in the GitHub repository hamzabellouch/agent-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 314 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 2026-08-31.
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