meta-ads

meta-ads is a skill for Claude Code, Codex from TheMattBerman/meta-ads-kit. It costs 40 tokens per session (1,824 once invoked), scanned A, original, MIT.

A Meta Ads management and reporting skill that reviews campaign data such as spending, click-through rate, and cost per acquisition using a local command-line adapter.

In plain words
What is it for?
Use it for daily checks, campaign performance reviews, creative fatigue detection, identifying expensive underperformers, and finding promising ads in mock, read-only, or approved live modes.
Why use it?
It helps reveal patterns such as ads losing attention, costs rising, strong ads emerging, or weak ads wasting budget. It reports findings while leaving campaign decisions to you.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

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.

agentmods
npx agentmods add skills/themattberman/meta-ads-kit/meta-ads
Any agent
npx skills add TheMattBerman/meta-ads-kit --skill meta-ads
Clone the repo
git clone --depth 1 https://github.com/TheMattBerman/meta-ads-kit

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/themattberman/meta-ads-kit/meta-ads.svg)](https://agentmods.dev/skills/themattberman/meta-ads-kit/meta-ads)
Your own site
<a href="https://agentmods.dev/skills/themattberman/meta-ads-kit/meta-ads"><img src="https://agentmods.dev/badge/skills/themattberman/meta-ads-kit/meta-ads.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,824 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00040 $0.01824
Opus 5 $0.00020 $0.00912
Sonnet 5 $0.00008 $0.00365
Haiku 4.5 $0.00004 $0.00182

Measured 6d ago against content hash 160b6cdf528a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

meta-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 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/meta-ads.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/meta-ads/SKILL.md · 234 lines

How it starts

The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meta Ads — Your AI Ad Manager

Stop clicking through Ads Manager. This skill uses ./run.sh + ./scripts/meta-kit.sh to give you the five things that actually matter about your Meta campaigns — in plain text, every day.

The thesis: 90% of ad management is pattern recognition. Spend trending up or down. CTR declining (creative fatigue). CPA spiking (audience exhaustion). Winners emerging. Losers bleeding.

This skill spots the patterns. You make the calls.

Read workspace/brand/ per the _vibe-system protocol

Follow all output formatting rules from the _vibe-system output format


Brand Memory Integration

Reads: stack.md, creative-kit.md, audience.md, learnings.md (all optional)

File What it provides How it shapes output
workspace/brand/stack.md Stored ad account ID, target CPA/ROAS Auto-fills account, benchmarks performance against targets
workspace/brand/creative-kit.md Brand creative guidelines, assets Context for creative recommendations
workspace/brand/audience.md Target audience profiles Interprets audience performance data
workspace/brand/learnings.md Past performance patterns Spots recurring issues — "this happened last month too"

Writes

File What it contains
workspace/brand/stack.md Stores ad account ID on first use
workspace/brand/learnings.md Appends performance findings, fatigue patterns, winning creative traits

Setup (One Time)

1. Configure local adapter mode

cp .env.example .env
META_KIT_MODE=mock ./scripts/meta-kit.sh doctor

2. Set account/token in .env for non-mock runs

Use official Ads CLI variables: ACCESS_TOKEN, AD_ACCOUNT_ID, and optionally BUSINESS_ID. The kit still accepts META_AD_ACCOUNT / META_SYSTEM_USER_ACCESS_TOKEN aliases for backwards compatibility. Keep secrets out of git.


Reports

The 5 Daily Questions ← Start Here

Read the full file on GitHub · 234 lines

Files

What ships with it

1 file 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.

  1. 6d ago First seen · 234 lines · 40 tokens per session scan A 160b6cdf528a

Subscribe to this mod's changes

meta-ads is a skill published in the GitHub repository TheMattBerman/meta-ads-kit (313 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 1,824 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens