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 linkedin-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/linkedin-benchmark-database)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/linkedin-benchmark-database"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-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/linkedin-benchmark-database"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-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 | $0.00109 | $0.04694 |
| Opus 5.5 | $0.00044 | $0.01878 |
| Sonnet 5.5 | $0.00022 | $0.00939 |
| Haiku 4.5 | $0.00011 | $0.00469 |
Grade A, and why
linkedin-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 — 430 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Ads Benchmark Database
Overview
This skill provides a comprehensive database of LinkedIn Ads benchmarks by industry, ad format, funnel stage, and campaign type, so you can assess how your B2B metrics perform compared to market standards.
Benchmark Disclaimer
IMPORTANT CONTEXT
These benchmarks are based on:
+-- 42agency "B2B LinkedIn Ads Benchmarks 2026" (Feb 2026, 87 campaigns, $5M+ spend)
+-- CloselyHQ "LinkedIn Ad Benchmarks 2025" (Jan 2026)
+-- Tinuiti "Digital Ads Benchmark Report Q4 2025" (Jan 2026)
+-- Primarily focused on Western European/North American markets
+-- B2B focus (LinkedIn's core market)
Benchmarks are GUIDELINES, not absolute truths:
+-- Your specific niche may deviate significantly
+-- Enterprise vs SMB has enormous impact
+-- Sales cycle length affects CPL acceptance
+-- Always compare with your own LTV:CAC ratio
CPL Benchmarks by Industry
COST PER LEAD (CPL) BY INDUSTRY
===============================
Industry | Poor | Average | Good | Excellent
----------------------+---------+---------+---------+----------
Finance & Insurance | >$120 | $90-120 | $60-90 | <$60
Healthcare | >$150 | $100-150| $70-100 | <$70
SaaS / Software | >$120 | $80-120 | $50-80 | <$50
Education | >$80 | $60-80 | $40-60 | <$40
Marketing / Agencies | >$120 | $80-120 | $50-80 | <$50
Professional Services | >$100 | $70-100 | $45-70 | <$45
Manufacturing | >$130 | $90-130 | $60-90 | <$60
Technology (Hardware) | >$140 | $100-140| $65-100 | <$65
Consulting | >$110 | $75-110 | $50-75 | <$50
Recruitment / HR Tech | >$90 | $60-90 | $40-60 | <$40
CONTEXT FACTORS:
+-- Enterprise deals ($50k+ ACV): CPL $150-300+ acceptable
+-- SMB deals ($5k ACV): CPL <$50 target
+-- Freemium SaaS: CPL <$30 ideal
+-- High-touch sales: Higher CPL OK if SQL rate is high
CPC & CPM Benchmarks
COST PER CLICK (CPC) BY INDUSTRY
================================
Industry | Poor | Average | Good | Excellent
----------------------+---------+---------+---------+----------
Finance & Insurance | >$8.00 | $5-8 | $3-5 | <$3.00
SaaS / Software | >$10.00 | $6-10 | $4-6 | <$4.00
Technology | >$9.00 | $5-9 | $3-5 | <$3.00
Healthcare | >$7.00 | $4-7 | $2.50-4 | <$2.50
Education | >$6.00 | $3.50-6 | $2-3.50 | <$2.00
Manufacturing | >$7.50 | $4.50-7.5| $3-4.50| <$3.00
Professional Services | >$6.50 | $4-6.50 | $2.50-4 | <$2.50
General B2B | >$7.00 | $4-7 | $2.50-4 | <$2.50
NOTES:
+-- LinkedIn CPC is 3-5x higher than Meta/Google
+-- But: B2B audience quality often compensates
+-- Focus on CPL/CPA, not just CPC
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 · 430 lines · 109 tokens per session scan A 4d43ab7bf94a
linkedin-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 109 tokens to every session and 4,694 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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