higgsfield

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesNot pinnedSome versions float
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: critical finding, instruction override, no behavioural pass, undeclared transfer.

| **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/cl

(`../higgsfield-seedance/SKILL.md` § Prompt-Craft Laws). Never tell the user a

- Do not tell the user "I removed X because it was blocked before" unless they ask —

| **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/cl

.markdownlint.json

"prompt_hash": (hashlib.sha1(args.prompt.strip().encode("utf-8"))

"prompt_hash": hashlib.sha1(

fpdf2

- Full access to all models

the CLI pinned and checksum-verified instead of `curl | sh`.

- Install: `curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh` or `brew install higgsfield-ai/tap/higgsfield`

Audit 0.4.1 · source sha d34324c95b96 · 21 Oct 2026Report an issue or request a re-scan

• PublisherOSideMedia GitHub userOwner of the repository this skill is read from
• Source folderOSideMedia/higgsfield-ai-prompt-skillThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdictd34324c95b96A new audit runs when the source changes
• Repository statusNot archivedLast push 24 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Use this skill whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano Banana, Seedream, Flux, GPT…

---
name: higgsfield
description: >
  Use this skill whenever the user asks anything about Higgsfield AI — writing or
  refining video/image prompts, choosing a model (Kling, Veo, Wan, Seedance,
  Minimax Hailuo, DoP, Soul, Nano Banana, Seedream, Flux, GPT Image, etc.), camera
  controls, named motion presets, Soul ID character consistency, Cinema Studio 2.5/3.0,
  Vibe Motion, troubleshooting failed generations, credit optimization, Photodump,
  or any mention of higgsfield.ai. Also trigger on generic "write me a video prompt"
  or "make me an AI video prompt" requests when Higgsfield is the user's configured
  platform.
user-invocable: true
metadata:
  tags: [higgsfield, video, image, prompt, cinematic, AI, filmmaking, motion, camera]
  version: 3.40.0
  updated: 2026-09-26
  author: O-Side Media
  license: MIT
---

# Higgsfield AI Prompt Skill

**Language rule:** Reply in whatever language the user writes in.

---

## HARD RULES — pre-delivery checklist

These rules apply to every Higgsfield response. They are written as a pre-delivery checklist the agent runs *before* sending the response, not as prohibitions stated and then forgotten. The failure mode they prevent is **plausibility-over-verification** — producing a response that looks correct because the agent's training data knows the rough shape of Higgsfield work, rather than because the agent actually read the skill files and verified the platform's ground truth.

**Before delivering any Higgsfield response, confirm in this order:**

1. **Routing line present.** First line of response names which sub-skills you routed to (e.g. "Routing to higgsfield-prompt + higgsfield-camera for an Atmosphere push-in"). One line, then the work. Missing routing line = response is incomplete; add it.

2. **Routed sub-skills opened and read in this conversation.** Match the user's ask to the routing table below, open the matching sub-skill files with the read tool, and READ them. Root `SKILL.md` and `skills/higgsfield-prompt/SKILL.md` are mandatory at minimum on any prompt request. Grepped snippets do not satisfy this rule. Full reads do. If your only access to root `SKILL.md` or `skills/higgsfield-prompt/SKILL.md` in this conversation came from grep results, you have not satisfied this rule — open the file. Platform vocabulary, preset names, and model parameters must come from the files because this platform's lineup changes between releases.

3. **Named vocabulary verified, not invented.** Camera preset names, motion preset names, model names, CLI flag forms, and MCP tool parameter names all come from the skill files or from verification. For model parameters, enums, and durations, verify against `specs/model-specs.yaml` first — it is generated from a dated `models_explore` snapshot (see `snapshot_date` inside the file); if the snapshot is stale (>30 days), verify live instead (`higgsfield model get <model>` for CLI param schemas; `models_explore` for MCP). If you found yourself thinking "this flag probably looks like X" or "this preset is probably called Y" — stop. Read the file or run the verification command. Plausibility is not validity. Do not substitute generic video-prompt vocabulary for named Higgsfield presets; do not invent model versions, camera presets, or motion-preset names. If the user names one you don't see in the skill files, say so and ask for clarification.

4. **MCSLA structure intact on video prompts.** Model · Camera · Subject · Look · Action. Five layers, every video prompt, unless the user explicitly opted out.

5. **Shared negative constraints appended.** Pull positive-phrasing prevention phrases from `skills/shared/negative-constraints.md`. Do not paraphrase from training; use the exact phrasing from the file. (Kling 3.0 prefers positive phrasing over negations; using negation-form constraints when the file says positive is a fidelity miss.)

6. **Preflight surfaced when applicable.** If execution intent is signaled (CLI / MCP / bundled-skills mentioned) AND a video-class or high-cost model is named OR a budget concern is named, surface the two-step preflight (`model get` / `models_explore` for schema, then cost estimate). See `skills/higgsfield-stack/SKILL.md` § Preflight discipline.

7. **Aspect ratio is an enum, not a free-form value.** Check the model's allowed ratios against `specs/model-specs.yaml` before writing them into the header; if the snapshot is stale (>30 days), verify live via schema (`models_explore` / `model get`). Example of why this matters: Seedance 2.0 supports native 21:9, Kling 3.0 does not. Anamorphic / 2.35:1 / 2.39:1 are *style register* vocabulary for the Look line, not output ratios. See `vocab.md` § Aspect Ratio: output spec vs. style register. In a multi-shot Seedance sequence whose location plates carry a baked lens, whether the optics words still belong in the video prompt (Style Prefix included) is OPEN — one studio drops them, Hell Grind keeps the look in both (`skills/higgsfield-seedance/SKILL.md` § Bake it into the asset; `skills/shared/house-rulings.md` P2-6).

8. **Prompt under 200 words — short-form regime only.** Soft cap from MCSLA section. Going over is a signal you're padding rather than locking — tighten. **Regime exception:** block-scaffold production prompts (`skills/higgsfield-seedance/SKILL.md` § Official Prompt Architecture) replace the word cap with structural lint — harvested production Seedance briefs run 218–2,059-word medians depending on register `[FIELD — 13-project community harvest, 2026-07-18]`. The cap governs single-shot MCSLA prompts; a block-scaffold prompt over 200 words is not a rule-8 violation.

**If any of items 1–8 are missing or unverified, the response is incomplete. Complete them before sending, not after.**

---

## What Is Higgsfield?

Higgsfield is a cinematic AI video and image generation platform built for filmmakers and
creators. Unlike single-model tools, Higgsfield hosts **multiple generation engines** on one
platform — Kling 3.0/3.0 Omni/

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

1. 2026-10-21
   ✕BLOCK D 69 / 100

   first audit · source d34324c95b96

Questions about higgsfield

• github.com/OSideMedia/higgsfield-ai-prompt-skill — the audited source at commit d34324c95b96 and every finding aboveObserved · 21 Oct 2026

Spotted something wrong? Report a correction · Methodology