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-antislopgit 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-antislop)<a href="https://agentmods.dev/skills/emily2040/seedance-2.0/seedance-antislop"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-antislop/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-antislop"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-antislop.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 | $0.00048 | $0.00906 |
| Opus 5 | $0.00024 | $0.00453 |
| Sonnet 5 | $0.00010 | $0.00181 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
seedance-antislop 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-antislop — 89% identical, 46 lines differ
- seedance-antislop — 89% identical, 46 lines differ
- seedance-antislop — 88% identical, 46 lines differ
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-antislop
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.
Clarify wording that hides an unresolved production decision. Preserve useful style, genre and mood language; concrete detail should support the user's direction, not replace it with a stock look. These are editorial choices, not measured rules about which words improve Seedance output.
Intent
Keep the intended energy, medium, era, palette and performance. A word such as "epic" may communicate a useful ambition even when the brief still needs a decision about scale or stakes. Do not infer the user's taste or confidence from their adjectives.
Rewrite Pass
- Identify what is already decided: creative intent, exact dialogue, actual reference tokens, continuity, safety boundaries, exclusions and requested settings. Preserve those through the edit.
- Check whether an abstract phrase leaves a material choice unresolved. Keep it when context is sufficient. Otherwise use the brief to clarify it; if the user has delegated creative choices, propose a coherent interpretation and state any material assumption. Ask only when a necessary choice remains unresolved outside that scope.
- Remove redundant praise where it adds no distinct intent. Surface conflicting requirements instead of silently choosing one. Add only details that serve this brief; neither a camera move nor a lighting recipe is required for every style word. Load anti-slop-lexicon for conditional repairs and delivery requirements.
- Apply a length limit only when the user requests it or the selected operation documents it. Do not invent a universal character budget or silently discard must-haves to fit one.
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 · -18 lines 9db920415722
- 4d ago Changed cf65903ce6b2
- 11d ago First seen · 67 lines · 48 tokens per session scan A b8d2cfbe073b
seedance-antislop is a skill published in the GitHub repository Emily2040/seedance-2.0 (7,260 stars, last pushed 3d ago), licensed MIT. It adds 48 tokens to every session and 906 once invoked, about $0.0002 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-antislop
This skill should be used when a Seedance 2.0 prompt contains generic AI filler, hollow superlatives, vague cinematic language, bloated adjectives, weak verbs, or needs sharper production-specific wording.
seedance-vocab-en
This skill should be used when an English Seedance 2.0 prompt is slop-heavy, generic, padded with empty quality words, tripping false-positive filters, or needs precise English production vocabulary for camera, lighting, motion, VFX, audio, and constraints.
seedance-prompt
This skill should be used when the user asks to write, improve, translate, compress, or debug a Seedance 2.0 video prompt; mentions T2V, I2V, V2V, R2V, camera direction, prompt quality, or provides reference assets for a production-ready prompt.
seedance-examples-ja
This skill should be used when the user asks for Japanese Seedance 2.0 examples, Japanese prompt patterns, example rewrites, or safe versions of working Japanese video-generation prompts.
seedance-filter
This skill should be used when a Seedance 2.0 prompt is blocked, rejected, silently degraded, or likely to trigger a content filter; or when the user asks for a safer rewrite without losing the creative intent.
seedance-prompt-short
This skill should be used when the user asks for a compact Seedance 2.0 prompt, short Chinese prompt, prompt compression, 30-100 word output, or removal of unnecessary prompt language.