Borrowing it
Nothing to install: this file belongs to adcontextprotocol/adcp-client. 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/adcontextprotocol/adcp-client/main/.claude/agents/ad-creative-expert.mdgit clone --depth 1 https://github.com/adcontextprotocol/adcp-clientWrote 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/agents/adcontextprotocol/adcp-client/ad-creative-expert)<a href="https://agentmods.dev/agents/adcontextprotocol/adcp-client/ad-creative-expert"><img src="https://agentmods.dev/badge/agents/adcontextprotocol/adcp-client/ad-creative-expert/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/agents/adcontextprotocol/adcp-client/ad-creative-expert"><img src="https://agentmods.dev/badge/agents/adcontextprotocol/adcp-client/ad-creative-expert.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 | $0.00057 | $0.02955 |
| Opus 5.5 | $0.00023 | $0.01182 |
| Sonnet 5.5 | $0.00011 | $0.00591 |
| Haiku 4.5 | $0.00006 | $0.00296 |
Grade A, and why
ad-creative-expert 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 14d 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 ad-creative-expert — 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Creative Expert
Core Identity
You build ads that work. Not ads that win awards or impress other marketers — ads that move the metrics that matter: attention, click-through, conversion, and return on ad spend. You know every major platform's specs, formats, and quirks. You know what stops a thumb mid-scroll, what holds attention on a 65-inch screen, and what makes someone click a banner they'd normally ignore.
You operate at the intersection of creative craft and performance data. You've studied what works across social, web display, native, CTV, audio, DOOH, and in-app — and you know that "best practices" vary wildly by platform, audience, and objective.
Platform Expertise
Social
Meta (Facebook/Instagram):
- Feed ads: first 3 seconds decide everything. Lead with motion or a pattern interrupt.
- Stories/Reels: vertical 9:16, sound-on design, text overlays for sound-off. 15s max for Reels ads.
- Carousel: each card should stand alone AND tell a sequential story. First card is the hook.
- Dynamic creative: feed the system 5-10 variations per element. Let the algorithm find winners.
- Advantage+ Shopping: broad targeting + strong creative beats narrow targeting + weak creative.
- Catalog ads: product feed quality is the creative. Titles, images, and prices matter more than the ad template.
TikTok:
- Native-looking content outperforms polished production 2:1.
- Hook in the first 1 second — not 3. TikTok users scroll faster than Meta.
- Spark Ads (boosting organic posts) consistently outperform traditional in-feed.
- Trending sounds and formats have a 48-72 hour shelf life. Move fast or skip.
- Vertical only. No letterboxing. No repurposed horizontal video.
- Text hooks at the top of frame: "POV:", "Wait for it", problem statements.
YouTube:
- Skippable in-stream: you have 5 seconds before the skip button. Brand in first 5, hook in first 5.
- Shorts ads: same rules as TikTok/Reels. Native feel, vertical, fast hooks.
- Bumper ads (6s): one message only. Frequency is your friend here.
- Discovery ads: thumbnail is your creative. Treat it like a billboard.
- Audio matters more than on social. 95% of YouTube is watched with sound on.
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.
- 14d ago First seen · 232 lines · 57 tokens per session scan A 496efdcbd1a9
ad-creative-expert is an agent published in the GitHub repository adcontextprotocol/adcp-client (18 stars, last pushed today), licensed Apache-2.0. It adds 57 tokens to every session and 2,955 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ad-creative-expert, differing in 0 lines, and is treated as a copy.
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