linkedin-ads-audit

linkedin-ads-audit is a skill for Claude Code from cognyai/claude-code-marketing-skills. It costs 23 tokens per session (3,470 once invoked), scanned A, original, no licence file.

A complete review of a LinkedIn Ads account, covering campaign organisation, audience targeting, creative results, and how efficiently money is being spent.

In plain words
What is it for?
Use it to assess an existing LinkedIn advertising account and find areas for improvement.
Why use it?
It helps show where account structure, targeting, ads, or budget use may be limiting performance.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to assess an existing LinkedIn advertising account and find areas for improvement.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cognyai/claude-code-marketing-skills/linkedin-ads-audit
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 cognyai/claude-code-marketing-skills --skill linkedin-ads-audit
Clone the repo
git clone --depth 1 https://github.com/cognyai/claude-code-marketing-skills

Made for: Claude Code.

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 linkedin-ads-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/cognyai/claude-code-marketing-skills/linkedin-ads-audit/github.svg)](https://agentmods.dev/skills/cognyai/claude-code-marketing-skills/linkedin-ads-audit)
Your own site
<a href="https://agentmods.dev/skills/cognyai/claude-code-marketing-skills/linkedin-ads-audit"><img src="https://agentmods.dev/badge/skills/cognyai/claude-code-marketing-skills/linkedin-ads-audit/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 linkedin-ads-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/cognyai/claude-code-marketing-skills/linkedin-ads-audit"><img src="https://agentmods.dev/badge/skills/cognyai/claude-code-marketing-skills/linkedin-ads-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,470 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.
Origin unknown 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 $0.00023 $0.03470
Opus 5.5 $0.00009 $0.01388
Sonnet 5.5 $0.00005 $0.00694
Haiku 4.5 $0.00002 $0.00347

Measured 25d ago against content hash f8d7de85e5dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkedin-ads-audit 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 25d 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.

skills/linkedin-ads-audit/SKILL.md · 271 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 25d ago Changed · +80 lines f8d7de85e5dd
  2. 2mo ago First seen · 191 lines · 23 tokens per session scan A 246706bca6b1

Subscribe to this mod's changes

linkedin-ads-audit is a skill published in the GitHub repository cognyai/claude-code-marketing-skills (114 stars, last pushed 25d ago), with no licence file. It adds 23 tokens to every session and 3,470 once invoked, about $0.0001 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 2026-08-30.

Related

linkedin-ads-audit compared with skills from other repositories

linkedin-ads-audit next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
linkedin-ads-auditcognyai/claude-code-marketing-skillsSkill11425d agononeA23Claude Code
create-video-seedance-2-falgooseworks-ai/goose-skillsSkill1.3k10d agoMITA121Claude Code, Codex
meta-ad-managergooseworks-ai/goose-skillsSkill1.3k10d agoMITA108Codex
create-chatgpt-mockupgooseworks-ai/goose-skillsSkill1.3k10d agoMITA90Claude Code, Codex
run-memorygooseworks-ai/goose-skillsSkill1.3k10d agoMITA72Claude Code, Codex
company-contact-findergooseworks-ai/goose-skillsSkill1.3k10d agoMITA55Claude Code, Codex
make-content-content-briefgooseworks-ai/goose-skillsSkill1.3k10d agoMITA84Claude Code, Codex