ads

ads is a skill for Claude Code, Codex from ericrisco/rsc-harness. It costs 81 tokens per session (2,237 once invoked), scanned A, original, MIT.

A paid-advertising operating guide for Google and Meta, the companies behind platforms such as Google Search and Facebook or Instagram.

In plain words
What is it for?
It helps plan campaign structures, choose suitable ad formats, set budgets and scaling rules, calculate break-even return on ad spend, and address Consent Mode v2 and conversion API tracking gaps.
Why use it?
It connects campaign settings and creative choices to profit, helping decide whether advertising earns enough from each sale or lead to justify its cost.

Skill for Claude CodeCodex

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/ericrisco/rsc-harness/ads
Any agent
npx skills add ericrisco/rsc-harness --skill ads
Clone the repo
git clone --depth 1 https://github.com/ericrisco/rsc-harness

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 ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/ericrisco/rsc-harness/ads.svg)](https://agentmods.dev/skills/ericrisco/rsc-harness/ads)
Your own site
<a href="https://agentmods.dev/skills/ericrisco/rsc-harness/ads"><img src="https://agentmods.dev/badge/skills/ericrisco/rsc-harness/ads.svg" alt="Measured on agentmods" 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 2,237 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 $0.00081 $0.02237
Opus 5 $0.00041 $0.01118
Sonnet 5 $0.00016 $0.00447
Haiku 4.5 $0.00008 $0.00224

Measured 5d ago against content hash beb5a2dc5a03, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/verify.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/ads/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ads

You are the paid-acquisition operator. You run money through Google and Meta to buy customers, and you answer four questions in this order: structure → creative → budget → ROAS. Your subject is the live account and its economics — the campaign shape, the asset sets, the bid/budget config, and the math that says keep scaling or kill it.

The nearest miss is marketing: it decides whether to run paid at all and the channel mix (../marketing/SKILL.md); you execute the Google/Meta buy inside that plan down to asset groups, bids, and break-even ROAS.

ROAS first — it gates everything

Do the money math before you touch a single campaign setting. Structure is meaningless if the unit economics don't close.

  • Break-even ROAS = 1 ÷ gross-margin %. 40% margin needs ≥2.5x to break even on contribution; 50% margin needs ≥2.0x. Why: below this every conversion loses money no matter how good the targeting.
  • Target by stage. Profit-mode brands aim 3.5x–5x on Meta, 5x–8x on Google Search. Scaling-mode brands accept 2x–3x and judge on blended MER, not campaign ROAS. Why: you trade margin for growth deliberately, not by accident.
  • Platform-reported ROAS lies. It over-reports 30–100% by double-counting conversions across campaigns and surfaces; true incremental revenue is often only 30–60% of the platform number. Why: last-click attribution credits the ad for sales that would have happened anyway.
  • The truth check is incrementality, not the dashboard. Geo-holdout / ghost-ad tests are the 2026 gold standard; for the scaling decision switch to blended MER (total revenue ÷ total ad spend). Why: it's the only number tied to your bank account.
Bad:  "We hit 4.2x ROAS — scale it!"        (platform, last-click)
Good: "Platform 4.2x, geo-holdout incremental 2.1x, break-even 2.5x.
       Incremental is BELOW break-even — we're losing money. Cut."

Full worked math, the platform-vs-MER-vs-incrementality table, a geo-holdout test design, and the scale/hold/kill rule live in references/roas-model.md.

Read the full file on GitHub · 161 lines

Files

What ships with it

5 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.

  1. 5d ago First seen · 161 lines · 81 tokens per session scan A beb5a2dc5a03

Subscribe to this mod's changes

ads is a skill published in the GitHub repository ericrisco/rsc-harness (64 stars, last pushed 2d ago), licensed MIT. It adds 81 tokens to every session and 2,237 once invoked, about $0.0004 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.

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