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 Ad-Superpowers/ad-superpowers-plugin --skill first-party-data-strategygit clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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/ad-superpowers/ad-superpowers-plugin/first-party-data-strategy)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/first-party-data-strategy"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/first-party-data-strategy.svg" alt="Measured on agentmods" 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 | $0.00097 | $0.04402 |
| Opus 5 | $0.00048 | $0.02201 |
| Sonnet 5 | $0.00019 | $0.00880 |
| Haiku 4.5 | $0.00010 | $0.00440 |
Grade A, and why
first-party-data-strategy 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 514 lines — stays where its author put it; the contents beside it link to each section on GitHub.
First-Party Data Strategy Guide
Purpose
Help advertisers build a robust first-party data infrastructure that maintains measurement quality and targeting effectiveness in an increasingly privacy-restricted advertising landscape.
When to Use This Skill
Invoke when user mentions:
- First-party data: "How do I collect first-party data?"
- Server-side tracking: "Should I implement CAPI?"
- Privacy compliance: "How do I handle GDPR tracking?"
- Consent Mode: "What is Consent Mode V2?"
- CDPs: "Do I need a Customer Data Platform?"
- Cookieless: "How do I prepare for cookie deprecation?"
- Signal loss: "My conversion tracking is getting worse"
Part 1: The Privacy Landscape (2025-2026)
Current State of Digital Advertising Privacy
| Change | Status | Impact |
|---|---|---|
| iOS App Tracking Transparency | Active (since 2021) | 40-60% signal loss on mobile |
| GDPR Consent Requirements | Active | ~50% opt-in rates in EU |
| Chrome 3rd Party Cookie Deprecation | Active (phasing out 2025-2026) | Major ongoing impact — not a future risk |
| Meta Aggregated Event Measurement | Active | Limited to 8 priority events |
| Google Privacy Sandbox | Deployed | Topics API, Protected Audiences replacing cookie-based targeting |
Cookie deprecation is happening now, not in the future. Chrome began restricting third-party cookies in 2024 and is continuing the phase-out through 2025-2026. Safari and Firefox have blocked third-party cookies for years. The practical impact on tracking is already visible in attribution gaps. First-party data strategy is not preparation for a future change — it is the fix for a current problem.
Signal Loss by Region
| Region | Cookie Consent Rate | Mobile Opt-in Rate | Total Signal Loss |
|---|---|---|---|
| EU (GDPR) | 45-55% | 25-35% | 50-65% |
| UK | 50-60% | 30-40% | 45-55% |
| US (No federal law) | 75-85% | 35-45% | 25-35% |
| California (CCPA) | 65-75% | 35-45% | 35-45% |
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.
- 7d ago First seen · 514 lines · 97 tokens per session scan A 2cc515d81ff3
first-party-data-strategy is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 9d ago), licensed MIT. It adds 97 tokens to every session and 4,402 once invoked, about $0.0005 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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