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-lead-gen-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/linkedin-lead-gen-optimizer)<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/linkedin-lead-gen-optimizer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-lead-gen-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/linkedin-lead-gen-optimizer"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-lead-gen-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 | $0.00114 | $0.03156 |
| Opus 5.5 | $0.00046 | $0.01262 |
| Sonnet 5.5 | $0.00023 | $0.00631 |
| Haiku 4.5 | $0.00011 | $0.00316 |
Grade A, and why
linkedin-lead-gen-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 — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Lead Gen Form Optimizer
Purpose
Help B2B advertisers optimize the quality vs quantity tradeoff on LinkedIn. Lead Gen Forms have 13% CVR vs 4% for landing pages, but SQL rates are 20-40% lower. This skill helps determine when to use forms vs landing pages and how to improve lead quality.
The Core Tradeoff
┌─────────────────────────────────────────────────────────────────────────────┐
│ LINKEDIN LEAD GEN: QUALITY vs QUANTITY │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ LEAD GEN FORMS LANDING PAGES │
│ ────────────── ───────────── │
│ │
│ CVR: ~13% average CVR: ~4-6% average │
│ SQL Rate: 20-40% LOWER SQL Rate: HIGHER │
│ CPL: Lower (more volume) CPL: Higher (better quality) │
│ │
│ Best for: Best for: │
│ ├─ Volume over quality ├─ Quality over volume │
│ ├─ Mobile-heavy audience (60%+) ├─ Complex qualification needed │
│ ├─ Top-of-funnel (ebooks, whitepapers) ├─ Product demos, trials │
│ ├─ Quick campaign launch ├─ Desktop-heavy audience │
│ └─ Limited LP resources └─ A/B testing capability │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
When to Use This Skill
Invoke when user mentions:
- Strategy questions: "Should I use Lead Gen Forms or landing pages?"
- Quality concerns: "How do I improve lead quality from LinkedIn forms?"
- Benchmarking: "What's a good CPL for my industry?"
- Cost reduction: "How do I reduce CPL without hurting quality?"
- Switching: "When should I switch from forms to landing pages?"
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 · 371 lines · 114 tokens per session scan A 7e042ad5cc41
linkedin-lead-gen-optimizer is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 114 tokens to every session and 3,156 once invoked, about $0.0005 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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