Agent skill · Audited from source

Higgsfield Audio

skill · OSideMedia/higgsfield-ai-prompt-skillMIT licenceAudited 23 Oct 2026 · source 2b769497a77f

★ 780pushed todayversion 3.9.1
✓SAFEGrade B · 89/100 · 23 Oct 2026 · 2b76949
780repo stars · whole OSideMedia/higgsfield-ai-prompt-skill

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 2b769497a77f and found no filesystem, network or shell access and no hard-coded secrets. What it does: Use when the user asks about audio in Higgsfield videos, needs to add dialogue or lip-sync, wants sound effects or ambient sound in generated video, asks about music or BGM in output, or is using any audio-capable model…

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Cite this page

ModelsAtlas. “Higgsfield Audio (OSideMedia/higgsfield-ai-prompt-skill)”. Retrieved 23 Oct 2026. https://modelsatlas.com/skills/osidemedia/higgsfield-audio

Trust audit

Audit 0.4.1 · source read 23 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

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
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 2b769497a77f · 23 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherOSideMedia GitHub userOwner of the repository this skill is read from
  • Source folderOSideMedia/higgsfield-ai-prompt-skill/skills/higgsfield-audioThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict2b769497a77fA new audit runs when the source changes
  • Repository statusNot archivedPushed today
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Use when the user asks about audio in Higgsfield videos, needs to add dialogue or lip-sync, wants sound effects or ambient sound in generated video, asks about music or BGM in output, or is using any audio-capable model…

---
name: higgsfield-audio
description: >
  Use when the user asks about audio in Higgsfield videos, needs to add dialogue
  or lip-sync, wants sound effects or ambient sound in generated video, asks about
  music or BGM in output, or is using any audio-capable model (Kling 3.0, Seedance
  1.5 Pro, Seedance 2.0, Veo 3/3.1, Grok Video / Grok Imagine). Also use when the user's
  prompt would benefit from audio direction but they haven't mentioned it.
  Also use when the user wants standalone audio — a soundtrack, ambience bed,
  multi-speaker scene audio (Seed Audio 1.0), or text-to-speech voiceover.
  Also use to swap or revoice the speaker in an existing video (voice_change),
  or to clone / create a reusable voice (create_voice → a voice_type 'element'
  voice usable in TTS and voice change).
user-invocable: true
metadata:
  tags: [higgsfield, audio, dialogue, lip-sync, SFX, ambient, sound, BGM, music, voice, seed-audio, scene-audio, TTS, voice-change, voice-clone]
  version: 3.9.1
  updated: 2026-09-26
  parent: higgsfield
---

# Higgsfield Audio Prompting Guide

## QUICK FACTS
*Routing aids — read the linked sections for the full rules.*
- Native-joint audio models: Kling 3.0, Seedance 2.0 / 1.5 Pro, Veo 3/3.1, Grok — all others add audio in post [→](#which-models-support-audio)
- Four layers to consider per prompt: Dialogue / SFX / Ambient / BGM [→](#the-four-audio-layers)
- Suppressing a score: name the diegetic sound first, then the suppression as plain text; `NO BGM` vs `No music.` is OPEN (house-rulings P2-7) [→](#suppressing-music--no-bgm-is-a-spec-no-music-is-a-preference)
- Lip-sync is the most failure-prone feature: 3–8s clips, MCU framing, one speaking face, locked camera, no head-motion tokens; per-language sync-word budgets come from a third-party skill (EMPIRICAL, unmeasured here) [→](#lip-sync-rules)
- **Seedance 2.0 `@Audio1` is a conditioning INPUT** — beat sync, the `[AUDIO: Xs]` script block, and the first-15s extraction trap [→](#audio-as-a-conditioning-input--seedance-20-audio1)
- Scope an audio reference like an image one: name the property that rides, the property that must NOT, and where the excluded one comes from instead [→](#scope-an-audio-reference--say-which-property-rides)
- Multi-clip assembly: one master track · cuts land on musical punctuation, never inside a sung vowel (ECU mouth-match is the one exception) · unified grain + LUT masks batch color drift [→](#cutting-to-music--assembling-separately-generated-clips-on-one-track)
- Cinema Studio 3.0 native joint audio (SCELA): describe audio as a separate section; specific foley beats generic moods [→](#cinema-studio-30-audio-businessteam-plan)
- **Seed Audio 1.0** (`seed_audio`, standalone) = whole-scene audio in ONE pass — multi-speaker dialogue + music + SFX + ambience mixed [→](#scene-audio-generation--seed-audio-10)
- Standalone Audio catalog (2026-09-26 snapshot): `seed_audio`, `qwen_audio_tts` (Qwen 3.0 TTS Flash — gained `batch_size` 1–4 on 2026-09-26, the only audio change since 08-01), `text2speech_v2` (5 engines incl. cozy_voice), plus 3 game-pipeline-only tools — distinct from in-video joint audio [→](#standalone-audio-tab--tool-catalog-2026-09-26-snapshot)
- **Voice change** (`voice_change`) swaps the speaker in a finished video, keeping timing and visuals — no prompt; priced by duration. **Voice cloning** (`create_voice`) makes a reusable `voice_type: 'element'` voice — usable only once `completed` + `is_audio_eligible` [→](#voice-change-and-voice-cloning)

## Which Models Support Audio?

| Model | Audio type | Dialogue | SFX | Ambient | BGM | Lip-sync |
|-------|-----------|----------|-----|---------|-----|----------|
| Kling 3.0 / Omni (Omni: not in the API catalog) | Native joint | ✅ | ✅ | ✅ | ✅ | ✅ Multi-language |
| Seedance 2.0 | Native joint | ✅ | ✅ | ✅ | ✅ | ✅ Multi-language |
| Seedance 1.5 Pro | Native joint | ✅ | ✅ | ✅ | ✅ | ✅ Best lip-sync |
| Veo 3 / 3.1 | Native joint | ✅ | ✅ | ✅ | ✅ | ✅ English best |
| Grok Video (Grok Imagine) | Native joint | ✅ | ✅ | ✅ | ✅ | ✅ |
| All other models | ❌ | — | — | — | — | — |

**"Native joint"** means audio and video are generated simultaneously in one pass —
not layered on after. This produces natural synchronization without post-production.

Models without native audio: add audio in post with Lipsync Studio or external tools.

---

## The Four Audio Layers

Every audio-capable prompt should consider four layers. You don't need all four
in every prompt, but knowing which to include gives the model clear direction.

### 1. Dialogue — What characters say

Put dialogue in quotes. Be explicit about who speaks, their tone, and language.

```
She says: "We need to leave. Now."
He whispers: "Not yet."
```

**Best practices:**
- Keep dialogue short — 1-2 sentences per character per shot
- Specify emotional tone: "says urgently", "whispers", "shouts across the room"
- For non-English: specify language and dialect → `She speaks in Cantonese: "走啦"`
- For Seedance 1.5 Pro: supports English, Chinese (incl. Sichuanese, Cantonese,
  Taiwanese Mandarin, Shanghainese), Japanese, Korean, Spanish, Indonesian

### 2. SFX — Specific sound events tied to action

Describe SFX at the point they happen. Tie them to visible actions.

```
The glass shatters on the floor — sharp crack, then settling tinkle.
Footsteps on wet concrete — splashing, rhythmic.
A door slams shut — heavy metal, echoing.
```

**Best practices:**
- One SFX description per action beat
- Use onomatopoeia sparingly — descriptive phrases work better than "BANG" or "CRASH"
- Tie timing to action: "as she sets the cup down" not "cup sound at 4 seconds"

### 3. Ambient — Background soundscape

Set the acoustic environment. This is the continuous sound bed.

```
Ambient: quiet café murmur, espresso machine, rain against windows.
Ambient: forest at night — crickets, distant owl, gentle wind through leaves.
Ambient: busy intersection — traffic, horns, construction in the distance.
```

**Best practices:**

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.

Install

Pinned to the audited commit 2b76949

Download folder ↗
git clone https://github.com/OSideMedia/higgsfield-ai-prompt-skill
git -C higgsfield-ai-prompt-skill checkout 2b769497a77f

The author documents no install command, so this uses the repository directly. Our verdict covers commit 2b769497a77f only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 2b769497a77f

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Questions about Higgsfield Audio

What does the Higgsfield Audio skill do?
Claude AI skill for cinematic Higgsfield AI prompts — 32 sub-skills covering Seedance 2.5 (omni-reference, video edit + extend) and 2.0, the Hell Grind feature-film pipeline, an acting system, Cinema Studio 2.5/3.0/3.5, MCSLA, Soul ID consistency, Kling 3.0 Motion Control, the DISCIPLINE framework,
Is Higgsfield Audio safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Higgsfield Audio access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (2b769497a77f), read on 2026-10-23. The repository is watched, and a new audit runs when it changes — this is the first audit.

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