What is ads-linkedin?

A detailed audit tool for LinkedIn advertising campaigns, which are paid promotions aimed at professional audiences. It checks campaign setup, audience choices, ad content, lead forms, and bidding decisions.

Use it to review LinkedIn Ads accounts, including tracking tags, conversion events, company-list targeting, professional audience settings, ad creatives, lead-generation forms, and bidding strategy.

It brings technical tracking and campaign decisions into one review, helping reveal missing setup, poorly matched audiences, weak ads, or unsuitable bidding choices.

ads-linkedin — Skill for Claude Code and Codex by itsjwill

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 itsjwill/ad-audit-pro --skill ads-linkedin

Clone the repo

git clone --depth 1 https://github.com/itsjwill/ad-audit-pro

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-linkedin/github.svg)](https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-linkedin)

Your own site

<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-linkedin"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-linkedin/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-linkedin"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-linkedin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,267 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 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00085	$0.01267
Opus 5.5	$0.00034	$0.00507
Sonnet 5.5	$0.00017	$0.00253
Haiku 4.5	$0.00009	$0.00127

Measured 2mo ago against content hash 1b74e7f37724, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ads-linkedin 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 2mo 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.

Origin

This is a copy

100% identical to ads-linkedin — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/ads-linkedin/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Ads Deep Analysis

Process

Collect LinkedIn Ads data (Campaign Manager export, Insight Tag status)
Read ads/references/linkedin-audit.md for full 25-check audit
Read ads/references/benchmarks.md for LinkedIn-specific benchmarks
Read ads/references/scoring-system.md for weighted scoring
Evaluate all applicable checks as PASS, WARNING, or FAIL
Calculate LinkedIn Ads Health Score (0-100)
Generate findings report with action plan

What to Analyze

Technical Setup (25% weight)

Insight Tag installed and firing on all pages (L01)
Conversions API (CAPI) active — launched 2025 (L02)
Conversion events configured for full funnel
Revenue attribution tracking enabled

Audience Targeting (25% weight)

Job title targeting uses specific titles, not just functions (L03)
Company size filtering matches ICP (L04)
Seniority level appropriate for offer (L05)
Matched Audiences active: retargeting + contact lists (L06)
ABM company lists uploaded (up to 300,000 companies) (L07)
Audience expansion OFF for precision campaigns, ON for scale (L08)
Predictive audiences tested — replaced Lookalikes Feb 2024 (L09)

Creative Quality (20% weight)

Thought Leader Ads active, ≥30% budget allocation for B2B (L10)
Ad format diversity: ≥2 formats tested (L11)
Video ads tested (L12)
Creative refresh every 4-6 weeks (L13)

Lead Gen & Performance (15% weight)

Lead Gen Form ≤5 fields (13% CVR benchmark) (L14)
Lead Gen Form synced to CRM in real-time (L15)
Campaign objective matches funnel stage (L18)
A/B testing active: creative or audience (L19)
Message ad frequency ≤1 per 30-45 days (L20)

Bidding & Budget (15% weight)

Bid strategy: CPS for Messages, Max Delivery for Content (L16)
Daily budget ≥$50 for Sponsored Content (L17)
CTR ≥0.44% for Sponsored Content (L21)
CPC within benchmark: $5-7 average, senior $6.40+ (L22)
Lead-to-opportunity rate tracked, not just CPL (L23)
Attribution: 30-day click / 7-day view configured (L24)
Demographics report reviewed monthly (L25)

Read the full file on GitHub · 124 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.

2mo ago First seen · 124 lines · 85 tokens per session scan A 1b74e7f37724

Subscribe to this mod's changes

ads-linkedin is a skill published in the GitHub repository itsjwill/ad-audit-pro (9 stars, last pushed 8mo ago), licensed MIT. It adds 85 tokens to every session and 1,267 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ads-linkedin, differing in 1 line, and is treated as a copy.

Analytics and metrics Claude Code Marketing and SEO ad-audit advertising ai-tools claude-code-skill claude-skill

ads-linkedin next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ads-linkedinitsjwill/ad-audit-pro	Skill	9	8mo ago	MIT	A	85	Claude Code, Codex
reddit-intelcarrielabs/reddit-intel	Skill	2	6mo ago	none	A	81	Claude Code, Codex
procure-to-pay-advisorVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	32	Claude Code
alibaba-maestroVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	100	Claude Code
azure-maestroVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	70	Claude Code
accounting-maestroVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	93	Claude Code
model-registry-refreshVincentChuWaiChow/vanguard-frontier-agentic	Skill	24	2d ago	Apache-2.0	A	79	Claude Code