seedance-2.0 is an agent-driven production pipeline for creating AI films from text, images, videos, and references, including audio and platform-specific workflows. Filmmakers and creators use it to plan scenes and generate coherent prompts for Seedance-related tools, while the catalogue contains skills from that workflow.
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.
npx skills add Emily2040/seedance-2.0 --skill seedance-audiogit clone --depth 1 https://github.com/Emily2040/seedance-2.0Wrote 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/emily2040/seedance-2.0/seedance-audio)<a href="https://agentmods.dev/skills/emily2040/seedance-2.0/seedance-audio"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-audio/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/emily2040/seedance-2.0/seedance-audio"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-audio.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00052 | $0.01160 |
| Opus 5 | $0.00026 | $0.00580 |
| Sonnet 5 | $0.00010 | $0.00232 |
| Haiku 4.5 | $0.00005 | $0.00116 |
Grade A, and why
seedance-audio 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 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.
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.
Copies of this mod
3 near-identical copies found in the catalogue:
- seedance-audio — 94% identical, 20 lines differ
- seedance-audio — 89% identical, 16 lines differ
- seedance-audio — 89% identical, 16 lines differ
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-audio
Before producing prompt text, a prompt-ready block, a rewrite, an example, or a compiled clip, load the Director's Read, classify the brief, and complete its canonical narrative or non-narrative record. Translate that record into visible or audible carriers and keep its internal labels out of final generation prose.
Use this for dialogue, lip-sync, sound layers, music, ambience, beat-sync, audio-reference mapping, desync troubleshooting, or sound-driven visual timing. Audio should support the visible beat instead of becoming a second competing prompt.
Load audio-guide for the audio evidence boundary, dialogue timing, supported voice-reference options, beat-sync, desync repair, audio-reference conflicts, and multi-character workarounds. Load audio-post-delivery when the user needs stems, M&E, dubbing, loudness, sync, mix, or delivery guidance.
Intent
Half of every emotion enters through the ears, and users almost always forget sound until its absence makes the clip feel dead. The soul here is giving every scene its sound before being asked - the room's breath, the action's evidence, the line that lands. When they hear it, they realize it was always part of what they meant.
Core Rules
Preserve the user's exact dialogue, language, script, and register. Quote each line and name its speaker. Stable framing and one speaker turn are useful starting heuristics when mouth accuracy matters; do not remove required performance or rewrite words without authorization. Check spoken duration and inspect the returned words, performance, and visible sync separately.
Treat @Audio1 as a reference for its assigned role. Use a spoken-voice workflow only when the active operation supports it, with rights-cleared material; do not promise exact playback or guaranteed lip-sync. Offer native generation, a supported reference workflow, and post dubbing with their tradeoffs. No universal Mandarin-first ranking or per-language line ceiling is established by this repository. See audio-guide for the scoped model-card evidence and dialogue calibration for an optional pilot within the user's existing take/spend authorization.
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 · +2 lines f163f7bf6f5b
- 4d ago Changed d3e81fb5297a
- 11d ago First seen · 69 lines · 52 tokens per session scan A e6f41152af30
seedance-audio is a skill published in the GitHub repository Emily2040/seedance-2.0 (7,260 stars, last pushed 3d ago), licensed MIT. It adds 52 tokens to every session and 1,160 once invoked, about $0.0003 per session on Opus 5. 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 2026-08-30.
Other skills, from other repositories
seedance-audio
This skill should be used when the user asks for Seedance 2.0 audio, dialogue, lip-sync, music, sound effects, ambience, beat-sync, audio-reference mapping, desync troubleshooting, or sound-driven visual timing.
seedance-audio
This skill should be used when the user asks for Seedance 2.0 audio, dialogue, lip-sync, music, sound effects, ambience, beat-sync, audio-reference mapping, desync troubleshooting, or sound-driven visual timing.
seedance-audio
This skill should be used when the user asks for Seedance 2.0 audio, dialogue, lip-sync, music, sound effects, ambience, beat-sync, audio-reference mapping, desync troubleshooting, or sound-driven visual timing.
seedance-audio
Design sound layers, specify dialogue lip-sync, and troubleshoot audio failures for Seedance 2.0 video generation. Covers @Audio1 reference input, multi-character constraints, known failure modes (silent output, desync, audio rewrite bug), and the boundary between Seedance 2.0 video generation and the separate Jimeng…
listen
Nested swiss-knife reference for local audio analysis — transcribe speech with Whisper, or extract musical features (tempo, key, dynamics, spectral profile) with librosa. Both run on the user's machine with no API key. Read this when the human asks you to transcribe a voice note, extract lyrics from singing, critique…
metasounds
Create and modify MetaSound Source assets — add/connect nodes, wire pins, set input defaults, and play procedurally (MetaSoundService). Use when the user asks to create a MetaSound, build or edit a MetaSound graph, add operator/input/output nodes, or generate procedural audio.