adspirer-linkedin-ads

adspirer-linkedin-ads is a skill for Claude Code from amekala/ads-mcp. It costs 65 tokens per session (661 once invoked), scanned A, original, MIT.

A tool for creating and managing LinkedIn advertisements, including image, video, carousel, text, and lead-form ads. It supports targeting by professional details such as job title, company, industry, seniority, and skills.

In plain words
What is it for?
Use it to create campaign groups, set up paused campaigns, choose ad formats, attach creatives, and target selected business audiences.
Why use it?
It helps build campaigns for specific professional audiences instead of managing LinkedIn advertising manually. It also enforces LinkedIn's required campaign-group structure.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the adspirer-advertising-agent plugin — 19 skills, 5 commands, 1 agent, 2 MCP servers shipped together

Good fit Use it to create campaign groups, set up paused campaigns, choose ad formats, attach creatives, and target selected business audiences.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amekala/ads-mcp/adspirer-linkedin-ads
Install

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.

Any agent
npx skills add amekala/ads-mcp --skill adspirer-linkedin-ads
Clone the repo
git clone --depth 1 https://github.com/amekala/ads-mcp

Made for: Claude Code.

Or install adspirer-advertising-agent, the plugin that ships this one along with the rest of its 19 skills, 5 commands, 1 agent, 2 MCP servers.

Wrote 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.

agentmods badge for adspirer-linkedin-ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-linkedin-ads/github.svg)](https://agentmods.dev/skills/amekala/ads-mcp/adspirer-linkedin-ads)
Your own site
<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-linkedin-ads"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-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.

agentmods 80×15 button for adspirer-linkedin-ads

Your own site · 80×15
<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-linkedin-ads"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-linkedin-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 661 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.00661
Opus 5 $0.00032 $0.00331
Sonnet 5 $0.00013 $0.00132
Haiku 4.5 $0.00006 $0.00066

Measured 12d ago against content hash 9660f1cab867, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

adspirer-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 12d 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.

plugins/chatgpt/adspirer/skills/adspirer-linkedin-ads/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Ads

Everything on LinkedIn goes through the linkedin_ads router. Follow adspirer-mcp for the two-step.

Account parameter: account_id, as a string. Budgets are in the account's currency.

Every campaign belongs to a campaign group

LinkedIn will not create a bare campaign. Pass either an existing campaign_group_id, or a campaign_group_name to create one. There is no default and no implicit group — omitting both fails.

List the existing groups before you invent a new one; most accounts already have a structure the user cares about.

Build order

Campaign group → campaign → creative. Campaigns are created paused.

select_linkedin_campaign_type picks the format when the user hasn't said. Then create_linkedin_image_campaign, _video_campaign, _carousel_campaign, or _text_campaign. Creatives attach with add_linkedin_creative and its variants.

Targeting is the point

LinkedIn's value is the professional graph: job title, seniority, function, company, company size, industry, skills, and groups. That's what the user is paying LinkedIn's CPMs for — a broad, demographic-only LinkedIn campaign is a waste of money and you should say so.

search_linkedin_targeting resolves a name ("VP of Engineering", "Financial Services") to the facet id you need. research_business_for_linkedin_targeting turns a company description into a targeting proposal. Don't guess facet ids.

LinkedIn enforces a minimum audience size (about 300 members). Over-narrow targeting simply won't run — check the estimated size before you build.

Costs are high, so structure matters

LinkedIn CPCs run many times Google's. That changes the advice:

  • Budgets under roughly $25/day rarely gather enough data to optimize.
  • Lead-gen forms convert far better than sending people to a landing page. Prefer them for lead objectives.
  • Because clicks are expensive, creative fatigue bites sooner. analyze_linkedin_creative_performance shows which creative is carrying the campaign.

Read the full file on GitHub · 68 lines

Changes

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.

  1. 12d ago First seen · 68 lines · 65 tokens per session scan A 9660f1cab867

Subscribe to this mod's changes

adspirer-linkedin-ads is a skill published in the GitHub repository amekala/ads-mcp (90 stars, last pushed 5d ago), licensed MIT. It adds 65 tokens to every session and 661 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

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