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 pixelab-ch/higgsfield-skills --skill 07-ecommerce-adgit clone --depth 1 https://github.com/pixelab-ch/higgsfield-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/pixelab-ch/higgsfield-skills/07-ecommerce-ad)<a href="https://agentmods.dev/skills/pixelab-ch/higgsfield-skills/07-ecommerce-ad"><img src="https://agentmods.dev/badge/skills/pixelab-ch/higgsfield-skills/07-ecommerce-ad/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/pixelab-ch/higgsfield-skills/07-ecommerce-ad"><img src="https://agentmods.dev/badge/skills/pixelab-ch/higgsfield-skills/07-ecommerce-ad.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 | $0.00112 | $0.01779 |
| Opus 5.5 | $0.00045 | $0.00712 |
| Sonnet 5.5 | $0.00022 | $0.00356 |
| Haiku 4.5 | $0.00011 | $0.00178 |
Grade A, and why
higgsfield-ecommerce-ad 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 1mo 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield E-Commerce Ad Skill
What this skill does
Crafts production-ready e-commerce and DTC advertisement prompts and routes them to
the best Higgsfield model for high-converting output. On request, it assembles the
full parameter set, surfaces the credit cost, and — after explicit user confirmation
— generates the asset via the opt-in generation flow. Text-to-video is the default
path; image-to-video is conditional on the user supplying a reference image.
Product stills route to ms_image via higgsfield:generate_image.
Model routing
Primary and fallback video models
| marketing_studio_video (primary) | seedance_2_0 (fallback) | |
|---|---|---|
| Rationale | Dedicated marketing/ad pipeline; optimised for conversion formats | Genre/mode control + video/audio reference roles |
| Resolution | 480p, 720p, 1080p |
480p, 720p, 1080p (default 720p) |
| Aspect ratios | auto, 21:9, 16:9, 4:3, 1:1, 3:4, 9:16 |
auto, 21:9, 16:9, 4:3, 1:1, 3:4, 9:16 |
| Duration | 4–15 s (continuous range) | 4–15 s (continuous range) |
| Extra params | generate_audio bool; optional folder_id, width, height, hook_id, setting_id, ad_reference_id |
mode {std, fast}; genre {auto, action, horror, comedy, noir, drama, epic} |
| Media roles | avatars, image, start_image, end_image |
image, start_image, end_image, video, audio |
Routing rule: Use marketing_studio_video by default — it is the dedicated ad
pipeline and supports audio generation via generate_audio. Fall back to
seedance_2_0 only when (1) the primary model is unavailable, or (2) the user needs
genre-tagged output or a video/audio reference role not available on the primary.
If falling back, inform the user of the switch. Never switch silently.
MODEL-06 directive: If a parameter is rejected at generation time, call
higgsfield:models_explore with the target model name to re-verify the live schema.
Full parameter tables: references/model-specs.md.
What ships with it
4 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.
- 1mo ago First seen · 143 lines · 112 tokens per session scan A e686de84ecee
higgsfield-ecommerce-ad is a skill published in the GitHub repository pixelab-ch/higgsfield-skills (10 stars, last pushed 5mo ago), licensed MIT. It adds 112 tokens to every session and 1,779 once invoked, about $0.0004 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 2026-08-31.
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