A guide to planning and managing paid advertising on Google, Meta, TikTok, and LinkedIn. It covers campaign goals, audiences, budgets, ad variations, and measures such as cost per acquisition and return on ad spend.

Use it to prepare campaign briefs, choose platforms, set test budgets, build audiences, exclude existing converters, test creative variations, and measure campaign results.

It helps prevent unclear goals, uncontrolled spending, poor audience choices, and ad decisions made without conversion data.

paid-ads — Skill for Claude Code and Codex by m3taz-ahmed

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 m3taz-ahmed/ai-globals --skill paid-ads

Clone the repo

git clone --depth 1 https://github.com/m3taz-ahmed/ai-globals

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/m3taz-ahmed/ai-globals/paid-ads/github.svg)](https://agentmods.dev/skills/m3taz-ahmed/ai-globals/paid-ads)

Your own site

<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/paid-ads"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/paid-ads/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/m3taz-ahmed/ai-globals/paid-ads"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/paid-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 589 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.

Model	Per session	Once invoked
Fable 5.1	$0.00034	$0.00589
Opus 5	$0.00017	$0.00295
Sonnet 5	$0.00007	$0.00118
Haiku 4.5	$0.00003	$0.00059

Measured 9d ago against content hash 8376d90db84d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

paid-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 9d 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/paid-ads/SKILL.md · 40 lines

What it actually says

[SKILL] paid-ads [OBJ] Plan, launch, and optimize paid campaigns across Google, Meta, TikTok, and LinkedIn with disciplined budgeting and ROAS focus.

[RULES]

[REQ] Campaign brief before spend: objective (awareness/traffic/lead/sale), audience, offer, budget, target CPA/ROAS, creative concept. No ad without a brief.
[REQ] Platform fit: Search = high intent; Meta = interest/retargeting; TikTok = discovery/young; LinkedIn = B2B/ABM. Match channel to objective.
[CMD] Context7 IDs: googleads/google-ads-api, facebook/facebook-python-business-sdk, tiktok/tiktok-business-api (verify latest SDK before code), plausible/analytics (post-click measurement).
[REQ] Budget discipline: start small (test budget), scale only winners; cap daily spend; never exceed approved cap without re-approval.
[REQ] Targeting: build layered audiences (interest + behavior + lookalike/seed). Exclude converters to cut waste. Respect marketing-compliance consent rules.
[REQ] Creative testing: 3-5 variants per ad set (hook/visual/CTA); kill losers at statistical threshold (see cro-optimization).
[REQ] Measurement: ROAS = revenue/spend; CPA = spend/conversions; attribute via marketing-analytics. Pixel/CAPI installed pre-launch.
[REQ] Free-first: GA4/Plausible for tracking (free); platform native managers free. Paid third-party bid tools only as parity.
[REQ] Arabic/RTL: Arabic ad copy + RTL landing pages; localize offers to SAR/AED/EGP; mind cultural sensitivities per arabic-freelance.
[REQ] Approval gate: every campaign creation and budget change requires explicit user yes (kernel write-gate).

[PROHIBIT]

No campaign launched without a written brief + tracking pixel.
No budget change without explicit approval.
No deceptive or non-compliant ad content.
No Arabic campaign without RTL landing alignment.

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.

9d ago First seen · 40 lines · 34 tokens per session scan A 8376d90db84d

Subscribe to this mod's changes

paid-ads is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 589 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 2026-09-03.

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