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 squadcodercom/squadcoder --skill linkedin-adsgit clone --depth 1 https://github.com/squadcodercom/squadcoderWrote 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/squadcodercom/squadcoder/linkedin-ads)<a href="https://agentmods.dev/skills/squadcodercom/squadcoder/linkedin-ads"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/linkedin-ads/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/squadcodercom/squadcoder/linkedin-ads"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/linkedin-ads.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 | $0.00200 | $0.03929 |
| Opus 5.5 | $0.00080 | $0.01572 |
| Sonnet 5.5 | $0.00040 | $0.00786 |
| Haiku 4.5 | $0.00020 | $0.00393 |
Grade A, and why
linkedin-ads 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Ads — B2B Playbook
LinkedIn is the highest-intent B2B channel and also the most expensive: CPMs commonly run ₪80–₪300+ and CPCs ₪18–₪60+, with CPLs of ₪150–₪700 normal for mid-market and far higher for enterprise. The strategy is not to fight the high cost — it is to make every expensive impression land on the exact decision-maker with a message that converts. Precision targeting + strong offers + tight measurement beats broad reach every time.
When this skill is active, think like a B2B performance marketer who lives in Campaign Manager, not a social-media generalist.
1. Account & campaign structure
LinkedIn's hierarchy: Ad Account → Campaign Group → Campaign → Ad. Budgets and most settings live at the campaign level; the Campaign Group is an organizational/scheduling/budget-ceiling wrapper (you can set a group-level total budget + run dates).
Recommended structure — organize Campaign Groups by funnel stage so you can read the funnel at a glance:
TOFU – Awareness/Engagement(thought leadership, video, brand)MOFU – Lead Gen / Demand Gen(gated content, webinars, Lead Gen Forms)BOFU – Conversion / ABM(demo, trial, pricing, retargeting, named accounts)
Inside each group, split campaigns by a single variable so optimization stays clean: one audience or one objective or one creative theme per campaign. Never mix "Marketing" + "Engineering" + "Finance" personas in one campaign — they need different copy and will skew delivery to the cheapest segment.
Objectives (chosen per campaign, they unlock different ad formats & optimization goals):
- Awareness → Brand Awareness (impressions).
- Consideration → Website Visits, Engagement, Video Views.
- Conversions → Lead Generation (in-platform Lead Gen Forms), Website Conversions, Job Applicants. For B2B lead gen, Lead Generation and Website Conversions are the workhorses. Use Website Visits only for warming/retargeting fuel, not as the primary KPI.
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 · 181 lines · 200 tokens per session scan A d9645e57643b
linkedin-ads is a skill published in the GitHub repository squadcodercom/squadcoder (12 stars, last pushed 3mo ago), licensed MIT. It adds 200 tokens to every session and 3,929 once invoked, about $0.0008 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 2026-09-03.
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