Higgsfield AI Skills is a collection of agent skills for generating images, videos, 3D content, and audio through Higgsfield AI, along with branded visual systems and video scoring. It is for users of Claude Code, Cursor, Codex, and other coding agents that load Markdown-based skills. The catalogue entries are the skills, plugin, and instruction used to install and invoke these Higgsfield workflows.
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.
git clone --depth 1 https://github.com/higgsfield-ai/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/plugins/higgsfield-ai/skills/higgsfield)<a href="https://agentmods.dev/plugins/higgsfield-ai/skills/higgsfield"><img src="https://agentmods.dev/badge/plugins/higgsfield-ai/skills/higgsfield/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/plugins/higgsfield-ai/skills/higgsfield"><img src="https://agentmods.dev/badge/plugins/higgsfield-ai/skills/higgsfield.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
higgsfield 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 21d 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.
What it actually says
{
"name": "higgsfield",
"source": "./",
"description": "Image/video generation, complete brand systems, narrated explainers, YouTube thumbnails, browser games, Marketing Studio, video engagement analysis, and Soul Character training via the Higgsfield CLI.",
"version": "0.13.0",
"skills": [
"./higgsfield-generate",
"./higgsfield-soul-id",
"./higgsfield-product-photoshoot",
"./higgsfield-brandkit",
"./higgsfield-marketplace-cards",
"./higgsfield-websites",
"./higgsfield-video-explainer",
"./higgsfield-youtube-thumbnail"
]
}What it installs
The manifest is a name and a version. 8 skills travel with it, and installing the plugin installs all of them — 1,629 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill higgsfield-generate C 277 tokens
- Skill higgsfield-websites C 263 tokens
- Skill higgsfield-brandkit C 195 tokens
- Skill higgsfield-video-explainer C 176 tokens
- Skill higgsfield-youtube-thumbnail C 150 tokens
- Skill higgsfield-product-photoshoot C 251 tokens
- Skill higgsfield-marketplace-cards C 145 tokens
- Skill higgsfield-soul-id C 172 tokens
What ships with it
2 files beside marketplace.json#higgsfield 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.
- 21d ago Changed · -32 lines 4e740f209a69
- 1mo ago First seen · 48 lines scan A 6173a3e4b7d2
higgsfield is a plugin published in the GitHub repository higgsfield-ai/skills (1,314 stars, last pushed 21d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-12.
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