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meta-ads-research

meta-ads-research is a skill for Claude Code, Codex from ad-vertly/adextract-mcp-server. It costs 49 tokens per session (346 once invoked), scanned A, original, MIT.

A research workflow for studying Facebook and Instagram adverts in Meta Ad Library, Meta's public collection of ads.

In plain words
What is it for?
It helps identify advertisers, review ad details and media, and summarize messages, offers, calls to action, and platform or format patterns.
Why use it?
It makes it easier to compare current and historical advertising by brand, market, platform, format, and regulated category.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 0repo yesterday A scan 49 tokens original MIT

Good fit It helps identify advertisers, review ad details and media, and summarize messages, offers, calls to action, and platform or format patterns.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-vertly/adextract-mcp-server/meta-ads-research
View source ↗ ad-vertly/adextract-mcp-server adextract.co
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 ad-vertly/adextract-mcp-server --skill meta-ads-research
Clone the repo
git clone --depth 1 https://github.com/ad-vertly/adextract-mcp-server

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.

agentmods badge for meta-ads-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-vertly/adextract-mcp-server/meta-ads-research/github.svg)](https://agentmods.dev/skills/ad-vertly/adextract-mcp-server/meta-ads-research)
Your own site
<a href="https://agentmods.dev/skills/ad-vertly/adextract-mcp-server/meta-ads-research"><img src="https://agentmods.dev/badge/skills/ad-vertly/adextract-mcp-server/meta-ads-research/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 meta-ads-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-vertly/adextract-mcp-server/meta-ads-research"><img src="https://agentmods.dev/badge/skills/ad-vertly/adextract-mcp-server/meta-ads-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 346 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 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 $0.00049 $0.00346
Opus 5.5 $0.00020 $0.00138
Sonnet 5.5 $0.00010 $0.00069
Haiku 4.5 $0.00005 $0.00035

Measured yesterday against content hash c836ca9e4548, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

meta-ads-research 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 yesterday.

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/adextract/skills/meta-ads-research/SKILL.md · 37 lines

What it actually says

Meta Ads Research

When to use

Use this skill for Meta Ad Library research by keyword, Facebook page, country, platform, active status, media type, date range, or regulated ad category.

Tool workflow

  1. Resolve pages with search_meta_pages when the user gives a brand name.
  2. Search ads with search_meta_ads using page_id for brand-specific work or q for category research.
  3. Use get_meta_page_info when page identity, verification, followers, or transparency matters.
  4. Use get_meta_ad_details with ad_details_token for EU/UK transparency details when available.
  5. Use ad_reader on top image or video assets before summarizing creative strategy.

Research defaults

  • Use active_status: active for current market research unless the user asks for history.
  • Use sort_by: impressions_high_to_low for likely high-reach creative review.
  • Use platforms: facebook,instagram unless the user names a specific Meta surface.
  • Use media_type to separate video, image, and meme analysis.
  • Keep country filters explicit; ALL is broad and can mix markets.

Output

Return page identity, filters used, current message themes, platform/format mix, offer and CTA patterns, emotional strategy, and 3-5 evidence-backed creative observations.

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. yesterday First seen · 37 lines · 49 tokens per session scan A c836ca9e4548

Subscribe to this mod's changes

meta-ads-research is a skill published in the GitHub repository ad-vertly/adextract-mcp-server (0 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 346 once invoked, about $0.0002 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 2026-11-06.

Marketing and SEOad-intelligencead-libraryad-spyai-agentscompetitive-intelligencegoogle-ads
Related

meta-ads-research compared with skills from other repositories

meta-ads-research next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
meta-ads-researchad-vertly/adextract-mcp-serverSkill0yesterdayMITA49Claude Code, Codex
admapixfly0pants/admapixSkill62mo agononeA55Claude Code
admapixfly0pants/admapixSkill62mo agononeA55Claude Code, Codex
adspirer-ads-agentLeoYeAI/openclaw-master-skillsSkill2.2k6d agoMITA141Claude Code, Codex
adsericrisco/rsc-harnessSkill5032d agoMITA81Claude Code, Codex
web-research-workflowyonatangross/orchestkitSkill299yesterdayMITA72Claude Code
google-adsVKirill/claude-lane-stackSkill1248d agoMITA369Claude Code