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 meta-emq-optimizergit 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/meta-emq-optimizer)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/meta-emq-optimizer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-emq-optimizer/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/ad-superpowers/ad-superpowers-plugin/meta-emq-optimizer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-emq-optimizer.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 | $0.00088 | $0.03102 |
| Opus 5.5 | $0.00035 | $0.01241 |
| Sonnet 5.5 | $0.00018 | $0.00620 |
| Haiku 4.5 | $0.00009 | $0.00310 |
Grade A, and why
meta-emq-optimizer 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.
How it starts
The opening of the file, as written. The whole thing — 443 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EMQ Optimizer
Optimizer for Meta's Event Match Quality (EMQ) score to improve user matching and attribution.
What Is EMQ?
Event Match Quality measures how well Meta can match conversion events to Facebook/Instagram users.
EMQ Score Scale: 0-10
Score Interpretation:
├── 0-3: Poor - Many missed matches
├── 4-5: OK - Basic matching, improvement needed
├── 6-7: Good - Good match rate
├── 8-10: Great - Optimal matching
└── Target: 7+ for Purchase events
Why EMQ Is Crucial
Higher EMQ = Better:
├── More accurate attribution
├── Better algorithm optimization
├── Higher reported ROAS
├── Better audience building
└── More effective retargeting
Low EMQ Impact:
├── Missed conversions in reporting
├── Algorithm optimizes on incomplete data
├── Underreported ROAS
├── Weaker lookalike audiences
└── Less effective retargeting
EMQ Check Workflow
STEP 1: Check current EMQ
└── Events Manager → Pixel → Event → Details → Match Quality
STEP 2: Identify gaps
└── Which parameters are missing?
STEP 3: Implement improvements
└── Add missing parameters
STEP 4: Monitor results
└── EMQ update takes 24-72 hours
Customer Information Parameters (CIPs)
Parameter Impact Ranking
| Parameter | Code | Impact | Description |
|---|---|---|---|
| em | Very High | Most important matcher | |
| Phone | ph | Very High | Almost as important as email |
| First Name | fn | High | Strengthens other matches |
| Last Name | ln | High | Strengthens other matches |
| External ID | external_id | High | Persistent user identifier |
| City | ct | Medium | Location matching |
| State | st | Medium | Location matching |
| Zip Code | zp | Medium | Location matching |
| Country | country | Medium | Location matching |
| Date of Birth | db | Medium | Extra identifier |
| Gender | ge | Medium | Extra identifier |
| Client IP | client_ip_address | Basic | Required for server events |
| User Agent | client_user_agent | Basic | Required for server events |
| Click ID | fbc | High | Facebook click identifier |
| Browser ID | fbp | High | Facebook browser identifier |
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 · 443 lines · 88 tokens per session scan A 8734abf94d95
meta-emq-optimizer is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 88 tokens to every session and 3,102 once invoked, about $0.0004 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 2026-09-11.
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