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-benchmark-databasegit 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-benchmark-database)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/meta-benchmark-database"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-benchmark-database/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-benchmark-database"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/meta-benchmark-database.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 | $0.00085 | $0.04126 |
| Opus 5.5 | $0.00034 | $0.01650 |
| Sonnet 5.5 | $0.00017 | $0.00825 |
| Haiku 4.5 | $0.00009 | $0.00413 |
Grade A, and why
meta-benchmark-database 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 — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Benchmark Database
Overview
This skill provides an extensive database of Meta Ads benchmarks by industry, funnel stage, and campaign type, so you can assess how your metrics perform relative to market standards.
Benchmark Disclaimer
IMPORTANT CONTEXT
These benchmarks are based on:
├── Sovran "Meta Ads CPM by Industry 2026" (Q1 2026, updated quarterly)
├── Databox peer benchmarks "Facebook Ads CTR/CPC/CPM" (Feb 2026)
├── Tinuiti "Digital Ads Benchmark Report Q4 2025" (Jan 2026)
├── Primarily focused on Western markets
├── Attribution: 7d click + 1d view (Meta default since Jan 2026 — 28d view removed)
└── Subject to seasonal fluctuations
Note: AdEspresso stopped publishing benchmarks after 2022 — removed as source.
Benchmarks are GUIDELINES, not absolute truths:
├── Your specific niche may differ significantly
├── Product pricing strongly influences metrics
├── Audience quality determines a lot
└── Always compare with your own historical data
Benchmarks by Industry
E-commerce
E-COMMERCE BENCHMARKS
=====================
Metric │ Poor │ Average │ Good │ Excellent
────────────────┼─────────┼─────────┼─────────┼──────────
CTR (All) │ <1.0% │ 1.0-2.0%│ 2.0-3.0%│ >3.0%
CTR (Link) │ <1.2% │ 1.2-2.0%│ 2.0-3.0%│ >3.0%
CPC │ >$1.50 │ $0.80-1.50│ $0.40-0.80│ <$0.40
CPM │ >$18 │ $10-18 │ $5-10 │ <$5
CPA (Purchase) │ >$50 │ $25-50 │ $15-25 │ <$15
ROAS │ <1.5x │ 1.5-2.5x│ 2.5-4x │ >4x
Add to Cart Rate│ <3% │ 3-6% │ 6-10% │ >10%
Conversion Rate │ <1% │ 1-2% │ 2-4% │ >4%
SUBCATEGORIES:
├── Fashion: CPA $20-40, ROAS 2.5-4x
├── Beauty: CPA $15-30, ROAS 3-5x
├── Electronics: CPA $30-60, ROAS 2-3x
├── Home & Garden: CPA $25-45, ROAS 2.5-4x
└── Food & Beverage: CPA $10-25, ROAS 3-6x
SaaS / Software
SAAS BENCHMARKS
===============
Metric │ Poor │ Average │ Good │ Excellent
────────────────┼─────────┼─────────┼─────────┼──────────
CTR │ <0.4% │ 0.4-0.8%│ 0.8-1.5%│ >1.5%
CPC │ >$3.00 │ $1.50-3 │ $0.80-1.50│ <$0.80
CPM │ >$20 │ $12-20 │ $6-12 │ <$6
CPL (Lead) │ >$80 │ $40-80 │ $20-40 │ <$20
CPA (Trial) │ >$150 │ $80-150 │ $40-80 │ <$40
CPA (Paid) │ >$300 │ $150-300│ $80-150 │ <$80
Trial to Paid │ <5% │ 5-15% │ 15-25% │ >25%
NOTES:
├── B2B SaaS: Higher CPA acceptable (LTV!)
├── Freemium: Focus on trial signups
└── Enterprise: CPA can be $500+ (high LTV)
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 · 355 lines · 85 tokens per session scan A b17ce4b764b4
meta-benchmark-database is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 85 tokens to every session and 4,126 once invoked, about $0.0003 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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