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 anymouschina/TapCanvas --skill seedance-promptgit clone --depth 1 https://github.com/anymouschina/TapCanvasWrote 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/anymouschina/tapcanvas/seedance-prompt)<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/seedance-prompt"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/seedance-prompt/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/anymouschina/tapcanvas/seedance-prompt"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/seedance-prompt.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00087 | $0.01905 |
| Opus 5.5 | $0.00035 | $0.00762 |
| Sonnet 5.5 | $0.00017 | $0.00381 |
| Haiku 4.5 | $0.00009 | $0.00191 |
Grade A, and why
seedance-prompt 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 1mo 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-prompt — 86% identical, 12 lines differ
- seedance-prompt — 86% identical, 12 lines differ
- seedance-prompt — 84% identical, 16 lines differ
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seedance-prompt
Build production-ready Seedance prompts from clear concepts or supplied reference assets. Treat the prompt as a short shooting brief: it must say what changes on screen, what the camera does, what the light and sound contribute, and what must stay stable. Keep final prompts under the platform prompt budget and remove filler before delivery.
Surface reference contract: every literal @Image1/@Video1/@Audio1 example in this skill or a loaded reference is a Seedance 2.0 surface example. Emit only the exact token supplied by the user or active structured surface. For Seedance 2.5 without a documented prompt-token mapping, bind the active structured reference fields during execution or use neutral asset-role names in a conditional plan; never invent tags or counts.
Load [ref:quick-ref] for the checklist, [ref:reference-workflow] for multimodal references, [ref:i2v-guide] for image-to-video, [ref:first-last-frame-guide] for first/last-frame work, [ref:examples-by-mode] when examples are useful, [ref:shot-list-continuity] for multi-shot professional plans, [ref:multishot-grammar] for shot-label grammar, the shots-times-seconds budget, and cut placement inside one generation, and [ref:multilingual-community-examples] for Chinese/Russian/Japanese/Korean/Spanish or mixed-language prompts. When sequence state is present, load [ref:prompt-compiler] and compile only the current clip contract.
Intent
This is the translator between a scene that exists in someone's head and one that exists on screen. The user has already imagined it; the job is to lose as little as possible in transit. Success is a first generation close enough that they can react instead of explain. Each revision inherits everything the story has already decided and changes only what the reaction asked for - a draft is a conversation, not a restart.
Director Formula
Before filling slots, decide the one thing the shot is doing. Load [ref:directing-engine], read the scene, name a single intention, and let that intention choose the camera, lighting, blocking, performance, and sound together so they reinforce instead of compete. The formula below is the container for a coherent setup, not a checklist of independent decorations; if a project voice is already set, keep this shot inside it.
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.
- 1mo ago First seen · 89 lines · 87 tokens per session scan A 59693b045d0b
seedance-prompt is a skill published in the GitHub repository anymouschina/TapCanvas (678 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 1,905 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-21.
Other skills, from other repositories
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.
minimax-h3-reference-video-prompt
Default downstream MiniMax H3 specialist for every image-based request unless the user explicitly declares boundary-only first/last frames with no reusable reference role. Use the official six-section full-reference format for character/person/object consistency, scene/style/action/camera/storyboard/voice/audio…
minimax-h3-keyframe-video-prompt
Narrow downstream MiniMax H3 specialist for pure I2VA, FL2VA, and L2VA boundary-frame prompts. Use only after minimax-h3-creative-director verifies that the user explicitly declared the images as literal first/last frames and that they have no character, identity, person, object, costume, scene, style, voice, action…
minimax-h3-text-video-prompt
Downstream MiniMax H3 specialist for professional text-to-video (T2VA) prompts using the official three-field format. Use after minimax-h3-creative-director routes a request with no image, video, or audio reference asset, or when this skill is explicitly invoked for a text-only idea, script, or storyboard requiring an…
minimax-h3-multishot-planner
Non-skippable planning-only MiniMax H3 subskill used by minimax-h3-creative-director before final prompt formatting. Invoke when the user explicitly requests multiple shots, scenes, cuts, montage, or shot-by-shot design, or when a video of at least 10 seconds has no declared single-shot/multishot preference and the…
minimax-h3-creative-director
Primary mandatory entrypoint for every MiniMax H3 video-generation request. Use before any other H3 skill for creation, animation, extension, editing, restyling, reference, or prompt review. It reads the official h3-prompt-writing specification, defaults image-based work to full-reference consistency, permits pure…