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 hermoso-ai/hermoso --skill hermoso-ad-from-brandgit clone --depth 1 https://github.com/hermoso-ai/hermosoWrote 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/hermoso-ai/hermoso/hermoso-ad-from-brand)<a href="https://agentmods.dev/skills/hermoso-ai/hermoso/hermoso-ad-from-brand"><img src="https://agentmods.dev/badge/skills/hermoso-ai/hermoso/hermoso-ad-from-brand/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/hermoso-ai/hermoso/hermoso-ad-from-brand"><img src="https://agentmods.dev/badge/skills/hermoso-ai/hermoso/hermoso-ad-from-brand.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00108 | $0.00709 |
| Opus 5 | $0.00054 | $0.00354 |
| Sonnet 5 | $0.00022 | $0.00142 |
| Haiku 4.5 | $0.00011 | $0.00071 |
Grade A, and why
hermoso-ad-from-brand 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hermoso — full ad from a brand
Drive the Hermoso CLI to go from a brand to a finished ad in three steps. Report the final media URL.
Setup
hermoso versionto confirm the CLI;hermoso auth login(opens your browser once; nothing to paste). On a machine with no browser:hermoso auth login --token <your key>, using a key from the app under MCP & CLI.. No account at all? An agent can sign itself up on a paid plan withPOST /v1/signupat app.hermoso.ai, no browser needed; see the Hermoso README.
Procedure
- Onboard the brand (skip if the user already gave full brand details):
- From a website:
hermoso brand draft --domain <domain> --json - No website:
hermoso brand draft --description "<what they sell, audience, voice>" --json - Influencer/social:
hermoso brand draft --social <handle> --platform instagram --jsonKeep the returned brand name/category for the next steps.
- From a website:
- Plan the concept + copy:
hermoso create --brand "<name>" --product "<what to advertise + angle>" --format <auto|image|video> --json- Read the result: it has the
concept,copy[](headline/primary/cta), and the resolved render model id (imodelfor images,vmodelfor video). Tell the user the concept + headline.
- Read the result: it has the
- Render, using the model the create step resolved (or run
hermoso capabilitiesfor options):- Image:
hermoso generate image --prompt "<image_concept.prompt from step 2 — it already bakes in the copy>" --model <imodel> --aspect 1:1 - Video:
hermoso generate video --prompt "<from the storyboard>" --model <vmodel> --aspect 9:16 --duration 8 --wait
- Image:
- Report the served URL. Offer one concrete next step (a punchier hook, a different aspect ratio, or a variation).
Notes
- If the brand has a real product photo and the ad features that product, pass it with
--ref ./product.pngon the image step so the packaging is accurate. - Quality over cost: prefer the resolved/best model unless the user asks for cheap/fast.
- Everything runs against the local Hermoso server; no asset leaves the machine unless you
hermoso fetchit.
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 · 36 lines · 108 tokens per session scan A 270e8f9a01a5
hermoso-ad-from-brand is a skill published in the GitHub repository hermoso-ai/hermoso (0 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 709 once invoked, about $0.0005 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 2026-08-31.
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