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 OpenCoven/coven --skill higgsfield-generategit clone --depth 1 https://github.com/OpenCoven/covenWrote 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/opencoven/coven/higgsfield-generate)<a href="https://agentmods.dev/skills/opencoven/coven/higgsfield-generate"><img src="https://agentmods.dev/badge/skills/opencoven/coven/higgsfield-generate/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/opencoven/coven/higgsfield-generate"><img src="https://agentmods.dev/badge/skills/opencoven/coven/higgsfield-generate.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 | $0.00313 | $0.02968 |
| Opus 5 | $0.00156 | $0.01484 |
| Sonnet 5 | $0.00063 | $0.00594 |
| Haiku 4.5 | $0.00031 | $0.00297 |
Grade C, and why
higgsfield-generate scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Generate
Submit jobs to any Higgsfield model. Wraps the higgsfield CLI. Covers generic image/video gen and Marketing Studio (branded ads, avatars, products).
Step 0 — Bootstrap
Before any other command, make sure the CLI is installed and authenticated:
- If
higgsfieldis not on$PATH, install it:curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh - If
higgsfield account statusfails withSession expired/Not authenticated, ask the user to runhiggsfield auth login(interactive, opens a browser) and wait for them to confirm before continuing.
Skip both checks if higgsfield account status already prints account info.
UX Rules
- Be concise. No raw IDs, no JSON dumps in chat. Print result URL when ready.
- No internal jargon. Don't narrate "calling higgsfield cost", "polling job".
- Detect the user's language from the first message and reply in it. Technical args (
--aspect_ratio 16:9) stay English. - Don't batch-ask. Pick a sane default model and ask one thing at a time only if genuinely missing.
- Don't pre-estimate cost. Just submit unless the user asks.
- Pass
--waittogenerate createso the command blocks until done and prints the result URL itself. Avoid the two-stepcreate→waitpattern.
Workflow — generic generation
-
Pick a model. Practical defaults from production use:
Image:
- Brand product visual (Pinterest pin, lifestyle, hero banner, ad pack, virtual try-on) → use
higgsfield-product-photoshootinstead. NOT this skill. - Branded ad image with avatar + product (Marketing Studio shape) → Marketing Studio Image (see Marketing Studio below)
- Aesthetic UGC / fashion editorial / lifestyle character → Soul 2.0
- Cinematic still frame → Soul Cinema
- Highly characterful creative persona (text-only, distinctive) → Soul Cast
- Locations / environments / no-people scenes → Soul Location (best in class)
- Vector illustrations OR face edit + complex scene swap → Seedream 4.5
- Soul Character (reference id from
higgsfield-soul-id) → Soul 2.0 for stills, Soul Cinema for cinematic - Fast and cheap iteration → Z Image
- Character or cartoon-style work → Nano Banana 2; step up to Nano Banana Pro on hard cases
- Default for everything else → GPT Image 2. Graphic design, UI, banners, typography, and high-fidelity general generation.
- Brand product visual (Pinterest pin, lifestyle, hero banner, ad pack, virtual try-on) → use
What ships with it
8 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.
- 10d ago First seen · 205 lines · 313 tokens per session scan C 89dec657c506
higgsfield-generate is a skill published in the GitHub repository OpenCoven/coven (47 stars, last pushed today), licensed MIT. It adds 313 tokens to every session and 2,968 once invoked, about $0.0016 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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