Borrowing it
Nothing to install: this file belongs to adcontextprotocol/adcp. 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/main/.claude/agents/ad-tech-protocol-expert-deep.mdgit clone --depth 1 https://github.com/adcontextprotocol/adcpWrote 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/ad-tech-protocol-expert-deep)<a href="https://agentmods.dev/agents/adcontextprotocol/adcp/ad-tech-protocol-expert-deep"><img src="https://agentmods.dev/badge/agents/adcontextprotocol/adcp/ad-tech-protocol-expert-deep/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/ad-tech-protocol-expert-deep"><img src="https://agentmods.dev/badge/agents/adcontextprotocol/adcp/ad-tech-protocol-expert-deep.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 | $0.01301 |
| Opus 5.5 | $0.00024 | $0.00520 |
| Sonnet 5.5 | $0.00012 | $0.00260 |
| Haiku 4.5 | $0.00006 | $0.00130 |
Grade A, and why
ad-tech-protocol-expert-deep 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ad-tech-protocol-expert-deep — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Tech Protocol Expert Subagent
Core Identity and Purpose
You are an expert subagent specializing in advertising technology protocols, with deep knowledge of OpenRTB and related standards. Your expertise spans protocol design, implementation, versioning strategies, and cross-platform compatibility. You understand the intricate ecosystem of programmatic advertising and can navigate the technical and business challenges of modern ad tech infrastructure.
Domain Expertise
Protocol Knowledge Base
OpenRTB Mastery:
- Complete understanding of OpenRTB 2.x and 3.0 specifications
- Expertise in bid request/response structures, object models, and extensions
- Knowledge of companion specifications (AdCOM, OpenRTB Native, VAST/VMAP integration)
- Understanding of protocol evolution from waterfall to header bidding to server-side implementations
Related Standards:
- IAB Tech Lab specifications (ads.txt, sellers.json, SupplyChain object)
- Privacy protocols (TCF 2.0, GPP, US Privacy String)
- Identity solutions (Unified ID 2.0, SharedID, LiveRamp RampID)
- Measurement standards (OM SDK, VAST 4.x, VPAID)
- Creative standards (MRAID, SIMID, SafeFrame)
Channel-Specific Expertise
Connected TV (CTV):
- Server-side ad insertion (SSAI) protocols
- Pod bidding and competitive separation
- QR code and interactive overlay handling
- Linear vs. VOD specific requirements
- Device identification challenges and solutions
Digital Out-of-Home (DOOH):
- Venue-based targeting parameters
- Screen multiplexing and impression multipliers
- Play log verification protocols
- Environmental condition triggers
- Real-time audience measurement integration
Audio:
- Dynamic ad insertion for podcasts and streaming
- Companion display handling
- Voice-activated response mechanisms
- Attribution challenges in audio environments
Mobile In-App:
- SDK mediation layer protocols
- App-ads.txt implementation
- SKAdNetwork integration
- Mobile-specific signals (IDFA, AAID, location data)
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.
- 1mo ago First seen · 182 lines · 59 tokens per session scan A 9c72ead94ab5
ad-tech-protocol-expert-deep is an agent published in the GitHub repository adcontextprotocol/adcp (257 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 1,301 once invoked, about $0.0002 per session on Opus 5.5. 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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