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 MoizIbnYousaf/marketing-cli --skill higgsfield-product-photoshootgit clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cliWrote 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/moizibnyousaf/marketing-cli/higgsfield-product-photoshoot)<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/higgsfield-product-photoshoot"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/higgsfield-product-photoshoot/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/moizibnyousaf/marketing-cli/higgsfield-product-photoshoot"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/higgsfield-product-photoshoot.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 | $0.00233 | $0.03111 |
| Opus 5 | $0.00117 | $0.01555 |
| Sonnet 5 | $0.00047 | $0.00622 |
| Haiku 4.5 | $0.00023 | $0.00311 |
Grade C, and why
higgsfield-product-photoshoot scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/higgsfield-product-photoshoot — Brand Product Image Generation
Brand-image generation via the higgsfield product-photoshoot create command. The CLI calls a backend prompt enhancer that holds mode-specific photography vocabulary and structural templates, then submits to gpt_image_2 and returns image URLs.
When to use
- Any product visual with a specific output format: studio shot, Pinterest pin, hero banner, ad pack, carousel, model try-on
- User has a product photo and wants it adapted to a specific marketing context
- "make ads for my product", "make a hero banner", "create carousel images"
- "virtual try-on", "model wearing my jacket", "levitating product shot"
- Paid social creative packs (Meta, TikTok, Pinterest, Google Ads)
Route elsewhere if:
- No product, no brand context, just a generic image prompt →
image-gen(Gemini, free, faster) - User needs a branded video ad with an avatar →
higgsfield-generate(Marketing Studio) - User wants to train a reusable face identity →
higgsfield-soul-id - User needs general-purpose AI image/video generation →
higgsfield-generate
On Activation
- Read
brand/voice-profile.mdandbrand/creative-kit.mdif present. Use brand colors, aesthetic language (creative-kit.md>## Visual Brand Style, written by/visual-style), and platform preferences to inform mode selection and interview answers. - Check CLI:
higgsfield account status. If not on$PATH, surface install command. If session expired, prompt auth. - Run the pre-generation interview (see below) — at most 4 questions before submitting.
Optional dependency — Higgsfield account
This skill requires the @higgsfield/cli binary and a Higgsfield account.
Without the CLI installed, return a clear actionable error:
higgsfield CLI not found. Install with:
curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh
Then authenticate:
higgsfield auth login
Without an authed Higgsfield account, the CLI itself surfaces the auth prompt — no special handling needed in the skill.
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 · 270 lines · 233 tokens per session scan C 3eb25475031b
higgsfield-product-photoshoot is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed today), licensed MIT. It adds 233 tokens to every session and 3,111 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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