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 | $0.00888 |
| Opus 5 | $0.00041 | $0.00444 |
| Sonnet 5 | $0.00016 | $0.00178 |
| Haiku 4.5 | $0.00008 | $0.00089 |
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 11d 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 — 59 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
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
Trigger the analyzing-brand skill in quick mode with the website. 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 is write-first so it saves the shortlist without pausing to confirm. 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.
- Everything marked
unconfirmed — needs user input, so the gaps are visible rather than silent.
Then invite corrections, and apply each one directly to the file in ./supercmo-company. Corrections are edits — patch the section that changed. Don't re-analyze the site, and don't re-run the sub-skill, to apply a correction.
Step 5: Suggest what to do next
Close with this list:
- Create a UGC video — a creator-style video for your product.
- Create a product ad video — a produced ad or commercial for your product.
- Generate product photos — packshots and lifestyle shots from one product photo.
- Research competitor ads — what's working in your category, and what nobody runs.
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.
- 11d 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 (37 stars, last pushed 13d ago), licensed Apache-2.0. It adds 81 tokens to every session and 888 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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