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Seedance Filter

CommunityPopular
Emily2040
seedance-filter

This skill should be used when a Seedance 2.0 prompt is blocked or rejected, when moderation is a suspected cause of a problem, or when the user asks for a content-boundary review or safer alternative. Assess the actual request before offering a clarification.

Overview

PublisherEmily2040
Repositoryseedance-2.0
Skill nameseedance-filter
Stars
7.4K
Forks
1.1K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Emily2040 on GitHub. Read the source before you install it.

Installation

Install the Seedance Filter AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Emily2040/seedance-2.0.git /tmp/seedance-2.0
mkdir -p .claude/skills
cp -r /tmp/seedance-2.0/skills/seedance-filter .claude/skills/seedance-filter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seedance Filter in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seedance Filter on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seedance Filter is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

seedance-filter

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.

Intent

Assess the actual scene and available rejection information before proposing a rewrite. Keep legitimate creative intent clear without assuming that every rejection is a false positive or every output defect is moderation.

Boundary — read before anything else

This skill clarifies benign requests; it does not disguise prohibited content or help bypass safety systems. Evaluate the underlying request and relevant context, including age, consent, identity, rights and harm. Do not invent those facts or infer a content violation from a topic word alone. If the underlying request is prohibited, refuse plainly and offer a legitimate alternative only where one exists.

Repair Method

  1. Identify the requested scene, its must-haves and the actual error or rejection information available. Separate the provider's stated reason, the user's report and an unverified hypothesis. Leave the cause unknown when the evidence does not establish it.
  2. Assess the underlying content. Ask only for missing context that materially affects the boundary or requested output; do not turn a complete benign brief into another interview.
  3. For an ambiguous phrase with a known benign meaning, clarify that meaning faithfully. Preserve exact dialogue, reference tokens, authorized roles, sound, framing and settings unless their revision was requested.
  4. If a proposal removes or replaces content, describe that change and offer it as an alternative, or draft within the user's already delegated scope. Do not label a different scene an equivalent wording repair or claim that adding “prop”, “original” or “authorized” establishes those facts.
  5. Do not promise acceptance or submit repeated synonym probes. A text revision is not authorization for an upload, retry, provider change or spending. Follow the user's budget and retake protocol.

Boundary Rule

When context is uncertain, state what is unresolved. When content is prohibited, refuse or offer a legitimate alternative rather than disguising it. Do not provide filter-bypass, evasion or hidden-word tactics. A language change does not change the underlying content.

Face-limit or portrait-verification workarounds are not safe prompt tricks. If a surface offers sanctioned virtual portrait, trusted model-output, or authorization asset flows, route the user to those current official paths instead of evasion language.

Load filter-vocab for conditional wording examples and clearly labeled content alternatives. Load multilingual-community-examples only when a benign clarification needs those language patterns; do not treat them as evidence of acceptance or permission.

Output Contract

Return the relevant observation or stated rejection reason, any unresolved hypothesis, and a faithful clarification or explicitly labeled alternative when appropriate. Explain material changes and any remaining boundary. Keep copyable text separate from those notes and do not describe an unsubmitted draft as approved.

Frequently asked questions

What does the Seedance Filter AI skill do?

This skill should be used when a Seedance 2.0 prompt is blocked or rejected, when moderation is a suspected cause of a problem, or when the user asks for a content-boundary review or safer alternative. Assess the actual request before offering a clarification.

Why use Seedance Filter on TypingMind?

Because you install it once and use it with any model. Seedance Filter is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seedance Filter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Emily2040/seedance-2.0/tree/main/skills/seedance-filter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seedance Filter?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seedance Filter?

As many as you like. As long as a model supports skills, you can use Seedance Filter with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seedance Filter AI skill free?

Yes. It is published on GitHub by Emily2040 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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