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 | $0.00272 | $0.08519 |
| Opus 5.5 | $0.00109 | $0.03408 |
| Sonnet 5.5 | $0.00054 | $0.01704 |
| Haiku 4.5 | $0.00027 | $0.00852 |
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 3d 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 — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Stack — Coexistence With Official Tooling
Contents
- What this sub-skill is for
- The three official surfaces
- Preflight discipline — check cost and balance before generating
- How our skill fits in
- Coexistence rules
- Higgsfield's bundled workflows
- Naming overlap —
higgsfield-soul-id(theirs) vshiggsfield-soul(ours) - Detection guidance
- Handoff templates
- Seedance preflight integration
- What this sub-skill does NOT do
- Related sub-skills
What this sub-skill is for
"The Higgsfield stack" means Higgsfield's own official tooling: their command-line interface (CLI), their custom MCP connector for claude.ai and the Claude desktop app — which now ships its own bundled workflows — and their bundled-skills repo (higgsfield-ai/skills, v0.12.0). 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 surfaces coexist, what each one owns, and how a clean handoff looks.
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.
- 3d ago Changed · +25 lines 371b806f77b9
- 1mo ago Changed · +93 lines · +125 tokens per session 79f7ffa24f38
- 1mo 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 (800 stars, last pushed 2d ago), licensed MIT. It adds 272 tokens to every session and 8,519 once invoked, about $0.0011 per session on Opus 5.5. 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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