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-troubleshootgit 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-troubleshoot)<a href="https://agentmods.dev/skills/emily2040/seedance-2.0/seedance-troubleshoot"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-troubleshoot/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-troubleshoot"><img src="https://agentmods.dev/badge/skills/emily2040/seedance-2.0/seedance-troubleshoot.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 | $0.00056 | $0.01572 |
| Opus 5 | $0.00028 | $0.00786 |
| Sonnet 5 | $0.00011 | $0.00314 |
| Haiku 4.5 | $0.00006 | $0.00157 |
Grade A, and why
seedance-troubleshoot 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- seedance-troubleshoot — 88% identical, 16 lines differ
- seedance-troubleshoot — 88% identical, 16 lines differ
- seedance-troubleshoot — 84% identical, 16 lines differ
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-troubleshoot
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 retake-protocol to record the failed criterion, observed or user-reported evidence, useful parts of the take, one plausible repair, and the remaining authorized limits. Diagnose before rewriting; repeated failures do not prove the prompt is wrong. Consider mode mismatch, conflicting references, ambiguity, unsupported controls, model variation, or missing preservation constraints. A review or rewrite request does not authorize another generation. At zero/exhausted budget, submit nothing; preserve model/tier, duration, resolution, and reference roles unless an already authorized change covers them.
When the diagnostic tree has no row for the failure, load model-mechanics and propose a testable hypothesis from the observed failure: conflicting priorities, ambiguous constraints, action timing, continuity state, reference roles, detail readability, or audio attribution. Do not present a diagnosis as proof of hidden model internals. Load field-observed-tips, reference-workflow, and api-workflow when the failure involves continuation, edit/extend, source clips, audio references, or platform-specific errors. Load shot-list-continuity for multi-shot drift and delivery-qc for final-client or delivery failures. When sequence state is present, load failure-atlas, continuation-handoff, and continuity-qc; diagnose against continuity locks, completed beats, exact reference tags, and reserved future beats.
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 Changed 05d90729cc53
- 12d ago First seen · 75 lines · 56 tokens per session scan A 9dc0381181af
seedance-troubleshoot is a skill published in the GitHub repository Emily2040/seedance-2.0 (7,279 stars, last pushed 3d ago), licensed MIT. It adds 56 tokens to every session and 1,572 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-troubleshoot
This skill should be used when a Seedance 2.0 output is blurry, jittery, off-prompt, morphing, blocked, visually generic, unstable, desynced, inconsistent, or otherwise fails and needs root-cause diagnosis.
seedance-troubleshoot
This skill should be used when a Seedance 2.0 output is blurry, jittery, off-prompt, morphing, blocked, visually generic, unstable, desynced, inconsistent, or otherwise fails and needs root-cause diagnosis.
seedance-troubleshoot
This skill should be used when a Seedance 2.0 output is blurry, jittery, off-prompt, morphing, blocked, visually generic, unstable, desynced, inconsistent, or otherwise fails and needs root-cause diagnosis.
huawei-cloud-mrs-host-fault-diagnose
Huawei Cloud MRS cluster fault diagnosis skill. Diagnoses service faults, instance faults, and host faults through progressive root cause localization: quick log scan first, host troubleshooting when host issues are found, detailed investigation when no conclusion is reached. Driven by the built-in LakeWatch API…
huawei-cloud-mrs-host-alarm-diagnose
Huawei Cloud MRS cluster alarm diagnosis skill. Analyzes the root cause of an MRS alarm based on user-provided alarm information (alarm ID, alarm name, alarm details, occurrence time, node IP, related service and logs), then outputs the root cause, repair steps, and verification method. Diagnosis is driven by the…
mpm-doctor
Run diagnostic checks on Claude MPM installation.