Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/OSideMedia/higgsfield-ai-prompt-skillnpx agentmods add skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-stackWrote 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/osidemedia/higgsfield-ai-prompt-skill/higgsfield-stack)<a href="https://agentmods.dev/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-stack"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-stack/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/osidemedia/higgsfield-ai-prompt-skill/higgsfield-stack"><img src="https://agentmods.dev/badge/skills/osidemedia/higgsfield-ai-prompt-skill/higgsfield-stack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 28 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 168 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- low Supply Chain · line 26 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
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 | $0.00147 | $0.04898 |
| Opus 5 | $0.00073 | $0.02449 |
| Sonnet 5 | $0.00029 | $0.00980 |
| Haiku 4.5 | $0.00015 | $0.00490 |
Grade C, and why
higgsfield-stack 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 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.
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.
| **Higgsfield CLI** | Binary distributed at https://github.com/higgsfield-ai/cli. Binary names: `higgsfield`, `higgs`, `hf`. Install via `curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh \| Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| **Higgsfield CLI** | Binary distributed at https://github.com/higgsfield-ai/cli. Binary names: `higgsfield`, `higgs`, `hf`. Install via `curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh \| How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Stack — Coexistence With Official Tooling
What this sub-skill is for
"The Higgsfield stack" means Higgsfield's own official execution tooling: their command-line interface (CLI), their custom MCP connector for claude.ai and the Claude desktop app, and their three bundled skills (higgsfield-generate, higgsfield-soul, higgsfield-product-photoshoot). Any one of those tools — or any combination — may be present in the user's environment alongside this prompt skill. This sub-skill documents how the two surfaces coexist, what each one owns, and how a clean handoff looks.
The core principle is a layer split. This skill is the prompt-construction + production-discipline layer: MCSLA structure, named platform vocabulary, model selection criteria, Seedance preflight, Cinema Studio depth, Soul Character Anchor Block, Two-Tool Refinement Pipeline guidance, anti-bombast register, shared negative constraints. Their stack is the execution layer: authentication, file uploads, job submission, polling, retries, returning a result URL. Different jobs, no overlap. Our skill never invokes their CLI; their stack never invents prompt logic. The user gets one prompt from us and one execution path from them.
The three official surfaces
| Surface | What it is | Detection signals | Best fit |
|---|---|---|---|
| Higgsfield CLI | Binary distributed at https://github.com/higgsfield-ai/cli. Binary names: higgsfield, higgs, hf. Install via curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh or brew install higgsfield-ai/tap/higgsfield. Auth via higgsfield auth login (device flow). |
User types higgsfield, higgs, or hf in conversation; user says "I have the CLI installed"; user pastes output from higgsfield ... --json |
Claude Code, Codex, Cursor, or any terminal-native agent. Per Higgsfield's own guidance: if the user is in Claude Code or Codex, prefer the CLI over the MCP. |
| Higgsfield MCP | Custom connector at https://mcp.higgsfield.ai/mcp. Separate product from the CLI. Installed in claude.ai or the Claude desktop app via Settings → Connectors → Add custom connector. | User is in claude.ai web or the Claude desktop app (not a terminal); user mentions "the connector" or "MCP" or mcp.higgsfield.ai; the current Claude session has tools whose names mention Higgsfield generation. |
claude.ai web, Claude desktop app, environments without a terminal. |
| Higgsfield bundled skills | Skill repo at https://github.com/higgsfield-ai/skills (v0.3.0). Three skills: higgsfield-generate, higgsfield-soul, higgsfield-product-photoshoot. Install via npx skills add higgsfield-ai/skills. Invoke as /higgsfield:generate, /higgsfield:soul, /higgsfield:product-photoshoot. |
Skill files matching those names visible in the agent's skill directory; user invokes one of those slash commands; user mentions installing higgsfield-ai/skills. |
Agents that consume Cowork-style skill bundles. All three skills drive the CLI under the hood — they are workflow/transport guidance, not prompt engineering. |
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 · 222 lines · 147 tokens per session scan C 854bd68e7421
higgsfield-stack is a skill published in the GitHub repository OSideMedia/higgsfield-ai-prompt-skill (529 stars, last pushed 19d ago), licensed MIT. It adds 147 tokens to every session and 4,898 once invoked, about $0.0007 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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