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 onboarding-usergit 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/onboarding-user)<a href="https://agentmods.dev/skills/supercmohq/supercmo-skills/onboarding-user"><img src="https://agentmods.dev/badge/skills/supercmohq/supercmo-skills/onboarding-user/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/onboarding-user"><img src="https://agentmods.dev/badge/skills/supercmohq/supercmo-skills/onboarding-user.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 | $0.00081 | $0.01178 |
| Opus 5.5 | $0.00032 | $0.00471 |
| Sonnet 5.5 | $0.00016 | $0.00236 |
| Haiku 4.5 | $0.00008 | $0.00118 |
Grade A, and why
onboarding-user 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboarding
Turn one website into a working brand profile, then hand the user their first next steps.
Workflow
Step 1: Get the website
First read brand.md in ./supercmo-company: where it already holds a brand, follow "The brand is
already onboarded" below. Otherwise ask for the user's website, unless the conversation already
carries it.
A user with no website still onboards. Ask what the brand is called, what it sells, and who buys it — plus anything they want to add about how it sounds or what sets it apart. A short answer is fine; they can give as much or as little as they like. Write what they give into the matching sections of brand.md in ./supercmo-company, leave the sections they didn't cover marked unconfirmed — needs user input, then skip the rest of the steps.
Step 2: Analyze the brand
First load everything the next two steps use in one step: analyzing-brand, its
references/reading-the-brand.md, and identifying-competitors — not one after another.
Then trigger the analyzing-brand skill in quick mode with the website, and say onboarding is running
it, so it asks the user nothing and skips its own hand-over. It writes ./supercmo-company/brand.md itself. Don't copy or re-save it; read it back where you need its contents for the summary.
Step 3: Identify the competitors
Trigger the identifying-competitors skill with the brand's name, website and what it sells. Say the run skips confirmation and that onboarding is running it, so it saves the shortlist without
pausing and skips its own hand-over. It writes ./supercmo-company/competitors.md itself. Don't copy or re-save it.
Step 4: Show what was written
One summary for the whole run. Compact — not the files read back:
- The brand: its name and what it sells, in a line.
- The voice, in a sentence.
- The audience, as the site evidenced it.
- The competitors, as a plain list.
- Where a section stayed unconfirmed, what the site didn't show — in one line.
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.
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 Changed · +12 lines 396d82cc4c66
- 1mo ago First seen · 59 lines · 81 tokens per session scan A aeb8a01b1066
onboarding-user is a skill published in the GitHub repository SupercmoHQ/superCMO-skills (242 stars, last pushed 6d ago), licensed Apache-2.0. It adds 81 tokens to every session and 1,178 once invoked, about $0.0003 per session on Opus 5.5. 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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