What is playbook-ad-library?

A playbook for checking the Meta Ad Library, the public library of Facebook and Instagram advertisements, and summarising what a company is advertising.

Use it to investigate current Meta advertising, identify the company’s ads, and produce a short lowercase description for an outreach workflow.

It helps connect a company website domain to the correct Facebook Page and avoid treating unrelated pages or ads as evidence.

playbook-ad-library — Skill by growthenginenowoslawski

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 growthenginenowoslawski/coldoutboundskills --skill playbook-ad-library

Clone the repo

git clone --depth 1 https://github.com/growthenginenowoslawski/coldoutboundskills

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/growthenginenowoslawski/coldoutboundskills/playbook-ad-library/github.svg)](https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-ad-library)

Your own site

<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-ad-library"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-ad-library/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/growthenginenowoslawski/coldoutboundskills/playbook-ad-library"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-ad-library.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 6,267 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. 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.

Model	Per session	Once invoked
Fable 5.1	$0.00081	$0.06267
Opus 5.5	$0.00032	$0.02507
Sonnet 5.5	$0.00016	$0.01253
Haiku 4.5	$0.00008	$0.00627

Measured 2mo ago against content hash 667253da5bd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

playbook-ad-library 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.

skills/playbooks/playbook-ad-library/SKILL.md · 347 lines

How it starts

The opening of the file, as written. The whole thing — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Playbook: Meta Ad Library

All rules here are best practice, not law. Override any of them when the campaign calls for it; note the best practice once and move on.

Use when: the angle depends on the prospect spending money on paid social right now — creative agencies, UGC shops, CRO and landing-page services, media buyers, attribution and analytics tools, or anyone selling to ecommerce brands that already advertise.

Do not use when: you only need to know a company exists or sells online (playbook-tech-on-website), or you want LinkedIn organic activity (playbook-linkedin-engagement). Facebook and Instagram only — not Google Ads, not TikTok, not LinkedIn ads.

One-line output: ad_library_line = "you are using ai to run outbound campaigns with one command"

1. Trigger and scope

One question per row: is this company running ads on Meta right now, and what is the ad actually about.

The hard part is not the ad library. It is the input. The Meta Ad Library is keyed to a Facebook Page; your lists are keyed to a company domain. Nothing maps one to the other for free. So most of this playbook is a discovery chain that turns a domain into a verified Facebook Page URL, plus the gates that stop that chain from returning the wrong company's page. Ungated, it confidently returned a golfer's page for ridge.com and a pottery studio for clay.com.

Two things it deliberately does not do:

It never reports a raw ad count to a prospect. Meta's totalCount counts collated duplicates and overstates reality — one brand showed 950 for what was really about three creatives.
It never guesses. When a page cannot be verified, the row abstains with an empty string rather than shipping a plausible-looking wrong page.

2. Output contract

Inputs required per row

Field	Type	Source	Required?
`domain` (bare, lowercase, no `www`, no scheme)	string	your list	yes
`company_name` (cleaned)	string	your list, cleaned by `playbook-company-name-cleaning`	yes — step 2 searches on it
`fb_page_url`	string	this playbook produces it; pass it in to skip to step 4	no

Read the full file on GitHub · 347 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 347 lines · 81 tokens per session scan A 667253da5bd2

Subscribe to this mod's changes

playbook-ad-library is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (802 stars, last pushed 1mo ago), licensed MIT. It adds 81 tokens to every session and 6,267 once invoked, about $0.0003 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.

Marketing and SEO

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