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 agentmods add skills/1370998960-del/https-github.com-emily2040-seedance-2.0/seedance-sequencenpx skills add 1370998960-del/https-github.com-Emily2040-seedance-2.0 --skill seedance-sequencegit clone --depth 1 https://github.com/1370998960-del/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/1370998960-del/https-github.com-emily2040-seedance-2.0/seedance-sequence)<a href="https://agentmods.dev/skills/1370998960-del/https-github.com-emily2040-seedance-2.0/seedance-sequence"><img src="https://agentmods.dev/badge/skills/1370998960-del/https-github.com-emily2040-seedance-2.0/seedance-sequence.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00055 | $0.01329 |
| Opus 5 | $0.00028 | $0.00665 |
| Sonnet 5 | $0.00011 | $0.00266 |
| Haiku 4.5 | $0.00006 | $0.00133 |
Grade A, and why
seedance-sequence 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-sequence
Use this when the user's idea is larger than one reliable generation, when connected clips are requested, or when the user says continue, extend, next part, part two, next scene, or make it longer. Plan globally, generate locally: the skill plans the whole story, but compiles only the next unresolved clip.
Load [ref:sequence-project-state], [ref:continuation-handoff], [ref:prompt-compiler], [ref:surface-prompt-profiles], [ref:event-density], and [ref:continuity-qc]. Load [ref:reference-transfer-contract] when references are present and [ref:dense-storyboard-mode] when the request contains many shots or animation panels. Load [ref:directing-engine] to set one directorial voice for the whole story and plan the long-form spine so the look is authored by one hand across every clip.
Intent
The user is trying to make a film, not a pile of prompts. This skill protects the thread of action across generations: what already happened, what is happening now, what must not happen yet, and what the accepted footage actually shows. The plan is global; the prompt is local.
Sequence Classifier
Classify as sequence_project when the story exceeds the verified active-surface duration, asks for multiple connected clips, contains several narrative beats, is a film scene, ad, campaign, music sequence, action scene, dialogue scene, or uses continue/extend/next-part language. Otherwise classify as standalone_clip and return to the concise prompt path.
For every request also classify:
- generation input mode: T2V, I2V, V2V, R2V, FLF2V, edit, native extend when verified for the active surface, or troubleshoot;
- sequence relation: standalone, sequence_first_clip, seamless_continuation, intentional_next_shot, bridge_between_known_states, repair_tail, or reanchor_after_drift;
- shot structure: compact_single_take, phased_single_take, dense_multishot, first_last_frame_transition, or video_edit_contract;
- medium grammar: live_action, 3d_animation, 2d_animation, product_or_object, or another supported medium;
- surface profile: exact reference-tag convention, verified duration range, prompt budget, supported reference roles, timeline syntax, edit/extension availability, audio behavior, and constraints.
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.
- 4d ago First seen · 82 lines · 55 tokens per session scan A c255de46c399
seedance-sequence is a skill published in the GitHub repository 1370998960-del/https-github.com-Emily2040-seedance-2.0 (234 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 1,329 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-sequence
This skill should be used when a Seedance 2.0 request is a long story, connected set of clips, multi-generation scene, campaign sequence, dense storyboard, continuation-ready plan, or any idea that must be divided into stateful clips.
seedance-sequence
This skill should be used when a Seedance 2.0 request is a long story, connected set of clips, multi-generation scene, campaign sequence, dense storyboard, continuation-ready plan, or any idea that must be divided into stateful clips.
seedance-continuation
This skill should be used when a Seedance 2.0 user asks to continue, extend, make the next part, repair the tail, bridge between known frames, re-anchor drift, or create a successor prompt from accepted footage.
seedance-continuation
This skill should be used when a Seedance 2.0 user asks to continue, extend, make the next part, repair the tail, bridge between known frames, re-anchor drift, or create a successor prompt from accepted footage.
seedance-interview
This skill should be used when the user wants creative guidance, story development, scene planning, or a director interview to turn a Seedance 2.0 idea into a production-ready prompt - adapting to users who have no idea yet, a rough concept, or precise professional direction in shots, lenses, and blocking.
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.