seedance-debugger

seedance-debugger is a skill for Claude Code, Codex from cclank/lanshu-awesome-ai-video-kit. It costs 146 tokens per session (4,086 once invoked), scanned A, original, MIT.

A troubleshooting guide for fixing common problems in Seedance 2.0 AI-generated videos, such as changing faces, unwanted text, watermarks, style changes, or broken scene transitions.

In plain words
What is it for?
It is for diagnosing faulty Seedance prompts, including identity drift, duplicate characters, subtitles, logos, poor quality, incorrect effects, pronunciation, voice, and ending sounds.
Why use it?
It connects visible video problems with likely prompt or reference-material causes and suggests revised wording to address them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for diagnosing faulty Seedance prompts, including identity drift, duplicate characters, subtitles, logos, poor quality, incorrect effects, pronunciation, voice, and ending sounds.

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Install with agentmods
npx agentmods add skills/cclank/lanshu-awesome-ai-video-kit/seedance-debugger
Install

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.

Any agent
npx skills add cclank/lanshu-awesome-ai-video-kit --skill seedance-debugger
Clone the repo
git clone --depth 1 https://github.com/cclank/lanshu-awesome-ai-video-kit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for seedance-debugger

README.md
[![agentmods](https://agentmods.dev/badge/skills/cclank/lanshu-awesome-ai-video-kit/seedance-debugger/github.svg)](https://agentmods.dev/skills/cclank/lanshu-awesome-ai-video-kit/seedance-debugger)
Your own site
<a href="https://agentmods.dev/skills/cclank/lanshu-awesome-ai-video-kit/seedance-debugger"><img src="https://agentmods.dev/badge/skills/cclank/lanshu-awesome-ai-video-kit/seedance-debugger/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.

agentmods 80×15 button for seedance-debugger

Your own site · 80×15
<a href="https://agentmods.dev/skills/cclank/lanshu-awesome-ai-video-kit/seedance-debugger"><img src="https://agentmods.dev/badge/skills/cclank/lanshu-awesome-ai-video-kit/seedance-debugger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 146 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,086 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00146 $0.04086
Opus 5 $0.00073 $0.02043
Sonnet 5 $0.00029 $0.00817
Haiku 4.5 $0.00015 $0.00409

Measured 12d ago against content hash bf0d5ed0bbe0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

seedance-debugger 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 12d 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.

skills/seedance-debugger/SKILL.md · 343 lines

How it starts

The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.

seedance-debugger

输入:有问题的提示词 + 用户描述的症状(或视频截图)。 输出:诊断(根因) + 修复后的提示词 + 解释为什么这样改。

何时不用此 skill

12 类问题诊断手册

详见 methodology/08-避坑12问.md。这里给出快速决策树。

症状识别 → 跳转

用户说的症状 跳转
"人脸不像 / 中途换脸 / 撞脸明星" #1 人物-id-漂移
"莫名出现字幕 / 视频里有文字" #2 字幕
"有水印 / 有 Logo" #3 logo-水印
"动漫风格变成真人了 / 风格变了" #4 风格漂移
"拼接处跳帧 / 衔接不流畅" #5 延长跳变
"出现两个一模一样的人" #6 双胞胎
"延长后画质变糊 / 人脸有斑驳色块" #7 画质劣化
"特效不对 / 倒计时乱跳" #8 特效不对
"人物多了/少了" #9 参考人物过多
"结尾有咔哒声" #10 结尾噪音
"中文读错字了" #11 中文发音
"音色不像参考音频" #12 音色不准

1. 人物 ID 漂移

根因:参考图混用(人脸 + 全身 + 服装在一张图) OR 人脸占比过小。

修复策略

  1. 让用户额外准备一张大头照(只包含面部,无表情最佳)
  2. 提示词中明确区分:<主体1> 的面部特征参考图片1(大头照),妆造参考图片2(全身照)
  3. 重要素材前置

反例将图1中的人物作为主角... 正例将@图片1(大头照)的面部特征作为主角面部锚点,@图片2(全身照)作为整体妆造参考。主角...


2. 字幕

根因:参考图/视频中包含文字;竖屏更易触发。

修复策略

  1. 加约束:保持无字幕,避免生成任何文字或字幕
  2. 如果参考素材包含文字 → 先用 Seedream 编辑去除
  3. 业务允许下,优先横屏生成

3. Logo / 水印

修复策略:在提示词末尾加 不要生成水印,不要生成Logo


4. 风格漂移

根因:参考图风格与目标风格不一致 + 提示词未强调风格。

修复策略

  1. 在提示词中明确风格约束:2D 日漫风格 / 3D 国风漫画 / 写实电影感
  2. 更精准的做法:先把参考图变成目标风格,再生视频

5. 延长跳变

根因:模型续写帧与原视频帧对齐误差。

修复策略(后期剪辑修补):

  1. 把视频导入剪映
  2. 前一段视频末尾删 6 帧
  3. 后一段视频开头删 1 帧
  4. 重复所有拼接点
  5. 续写时以转场切镜的时刻结尾,下一段以结尾切镜后的新场景为起始

6. 双胞胎

根因:人物三视图作参考 OR 主体定义不清晰。

修复策略

  1. 明确人物主体关联张三(对应图片1)将绿色存折扔向站立的李四(对应图片2)
  2. 添加全局约束
    视频全程禁止出现外形、着装、配饰完全一致的人物,
    禁止生成同款分身、双胞胎效果,
    同一画面中仅保留单个对应人物,不出现人物重复复刻。
    
  3. 优化参考素材:单人独立照片,不用三视图
  4. 精简提示词:别把完整剧本塞进去

7. 画质劣化

根因:延长续写时画质逐次衰减,尤其人脸区域。

修复策略

  1. 白模中转法:先用 Seedance 把原视频转为白模视频,再做续写输入
    • 参考提示词:将视频转为白色 3D 模型,人物统一为纯白 3D 模型,无色彩、无纹理、无阴影,纯白背景,结构稳定、运动流畅
  2. 优先选高清图片作参考
  3. 控制续写次数,避免多次叠加

Read the full file on GitHub · 343 lines

Changes

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.

  1. 12d ago First seen · 343 lines · 146 tokens per session scan A bf0d5ed0bbe0

Subscribe to this mod's changes

seedance-debugger is a skill published in the GitHub repository cclank/lanshu-awesome-ai-video-kit (391 stars, last pushed 3mo ago), licensed MIT. It adds 146 tokens to every session and 4,086 once invoked, about $0.0007 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.

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