analyzing-own-ads

analyzing-own-ads is a skill for Claude Code from SupercmoHQ/superCMO-skills. It costs 147 tokens per session (2,227 once invoked), scanned A, original, Apache-2.0.

A research workflow for auditing a company's own online advertisements, including current and stopped ads.

In plain words
What is it for?
Reviewing a brand's active and past ads, watching video ads, reading image ads, and mapping recurring themes and how long ads have run.
Why use it?
It shows which messages, formats, offers and creative approaches the company is already using, and which ones were dropped.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the supercmo plugin — 23 skills, 1 MCP server shipped together

Good fit Reviewing a brand's active and past ads, watching video ads, reading image ads, and mapping recurring themes and how long ads have run.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/supercmohq/supercmo-skills/analyzing-own-ads
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 SupercmoHQ/superCMO-skills --skill analyzing-own-ads
Clone the repo
git clone --depth 1 https://github.com/SupercmoHQ/superCMO-skills

Made for: Claude Code.

Or install supercmo, the plugin that ships this one along with the rest of its 23 skills, 1 MCP server.

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 analyzing-own-ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/supercmohq/supercmo-skills/analyzing-own-ads/github.svg)](https://agentmods.dev/skills/supercmohq/supercmo-skills/analyzing-own-ads)
Your own site
<a href="https://agentmods.dev/skills/supercmohq/supercmo-skills/analyzing-own-ads"><img src="https://agentmods.dev/badge/skills/supercmohq/supercmo-skills/analyzing-own-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.

agentmods 80×15 button for analyzing-own-ads

Your own site · 80×15
<a href="https://agentmods.dev/skills/supercmohq/supercmo-skills/analyzing-own-ads"><img src="https://agentmods.dev/badge/skills/supercmohq/supercmo-skills/analyzing-own-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 147 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,227 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00147 $0.02227
Opus 5 $0.00073 $0.01113
Sonnet 5 $0.00029 $0.00445
Haiku 4.5 $0.00015 $0.00223

Measured 12d ago against content hash 1134f80fb2c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

analyzing-own-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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/build_ledger.py), 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/analyzing-own-ads/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Own ads

Audit what a company is advertising itself, work out what is holding, and map what it already covers. Research only — nothing is generated, posted or planned here.

Not for competitors' ads — that is researching-competitor-ads; not for deciding what to make next — that is planning-campaigns.

Workflow

Step 1: Settle whose page this is

You need a brand name and a website.

  • Read them from the brand profile in ./supercmo-company, where one exists. Where it doesn't, move on.
  • Ask the user for whichever is missing.
  • A website but no name → take the brand name off the site and carry on.

Step 2: Scope the run

Ask once, bundled into a single message, always with a free-text way out. Skip any of these the brief already answers.

Ask When How
The country the ads run in The brief names no market and the user's own site implies none. Offer the likely markets, and a way to type another.
How deep to go The brief doesn't say. Offer the quick scan first and recommend it; say a detailed audit doubles what is watched, and costs accordingly.
What they want to learn Optional, and only where the brief says nothing at all about what the audit is for. One open field, no options to choose from. Ask what they want to come away knowing.

Take whatever the brief says about what they are after, in their own words, and don't ask again. Carry those words through to the audit, which closes by answering them.

Where nothing is given and nothing is answered, run it neutrally: a quick scan, the market the user's own site sells to, and an audit that says no goal was set. Say in one sentence what you took, and keep going.

Step 4's script holds these numbers and enforces them — pass it the depth and don't re-count.

Depth Ads kept, live / stopped Ads watched, live / stopped
Quick scan 30 / 30 10 / 10
Detailed audit 60 / 60 20 / 20

Read the full file on GitHub · 155 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. 12d ago First seen · 155 lines · 147 tokens per session scan A 1134f80fb2c9

Subscribe to this mod's changes

analyzing-own-ads is a skill published in the GitHub repository SupercmoHQ/superCMO-skills (38 stars, last pushed 14d ago), licensed Apache-2.0. It adds 147 tokens to every session and 2,227 once invoked, about $0.0007 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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