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.
npx skills add SupercmoHQ/superCMO-skills --skill researching-competitor-adsgit clone --depth 1 https://github.com/SupercmoHQ/superCMO-skillsWrote 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.
[](https://agentmods.dev/skills/supercmohq/supercmo-skills/researching-competitor-ads)<a href="https://agentmods.dev/skills/supercmohq/supercmo-skills/researching-competitor-ads"><img src="https://agentmods.dev/badge/skills/supercmohq/supercmo-skills/researching-competitor-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.
<a href="https://agentmods.dev/skills/supercmohq/supercmo-skills/researching-competitor-ads"><img src="https://agentmods.dev/badge/skills/supercmohq/supercmo-skills/researching-competitor-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00133 | $0.02345 |
| Opus 5 | $0.00067 | $0.01172 |
| Sonnet 5 | $0.00027 | $0.00469 |
| Haiku 4.5 | $0.00013 | $0.00234 |
Grade A, and why
researching-competitor-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.
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.
How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor ads
Analyze what competitors are advertising, work out what is holding, and map what the category
covers. Research only — nothing is generated, posted or planned here. Deciding what to make
next is planning-campaigns' job.
Workflow
Step 1: Settle who the competitors are
Three ways to find out. Try them in order, and stop at the first one that works.
- Read them from
competitors.mdin./supercmo-company. Where it is absent or empty, move on. - Ask the user, for a name and a website for each competitor.
- Find candidates, only where the user doesn't know. Call
url_extractionon the user's own website to learn what they sell in their own words, thensocial_researchonmeta_ad_library/search_adsusing those words. Each ad names the advertiser who ran it. Show the user a plain list of those advertiser names with the number of ads each appeared on, most ads first — nothing else — and ask which are real competitors.
You need a name and a website for each competitor whichever route you take. Step 3 uses the domain to prove the ads came from the right company.
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 analysis doubles what is watched per competitor, and costs accordingly. |
| What they want to learn | Optional, and only where the brief says nothing at all about what the research 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 analysis, which closes by answering them.
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.
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.
- 12d ago First seen · 160 lines · 133 tokens per session scan A f74563910f88
researching-competitor-ads is a skill published in the GitHub repository SupercmoHQ/superCMO-skills (38 stars, last pushed 14d ago), licensed Apache-2.0. It adds 133 tokens to every session and 2,345 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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