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 gpt-img-2/see-dance-2-prompt-mcp --skill see-dance-2-video-prompt-architectgit clone --depth 1 https://github.com/gpt-img-2/see-dance-2-prompt-mcpWrote 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/gpt-img-2/see-dance-2-prompt-mcp/see-dance-2-video-prompt-architect)<a href="https://agentmods.dev/skills/gpt-img-2/see-dance-2-prompt-mcp/see-dance-2-video-prompt-architect"><img src="https://agentmods.dev/badge/skills/gpt-img-2/see-dance-2-prompt-mcp/see-dance-2-video-prompt-architect/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/gpt-img-2/see-dance-2-prompt-mcp/see-dance-2-video-prompt-architect"><img src="https://agentmods.dev/badge/skills/gpt-img-2/see-dance-2-prompt-mcp/see-dance-2-video-prompt-architect.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 | $0.00081 | $0.01154 |
| Opus 5 | $0.00041 | $0.00577 |
| Sonnet 5 | $0.00016 | $0.00231 |
| Haiku 4.5 | $0.00008 | $0.00115 |
Grade A, and why
see-dance-2-video-prompt-architect 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 11d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
See Dance 2 Video Prompt Architect
Turn one visual idea into production-ready video instructions. This Skill is a text-only workflow by default. Its optional MCP adds deterministic, read-only helpers and never generates media, calls a provider, reads an account, compares live prices, or spends credits.
See Dance 2 is an independent AI video workspace. Do not present this Skill, the MCP, or the site as official documentation for ByteDance, Seedance, or any other provider or model.
Gather the minimum brief
Identify only details that materially change the result:
- Workflow: text-to-video, image-to-video, multimodal reference, or video-to-video.
- Subject and environment.
- One primary visible action per shot.
- Camera framing, movement, and pace.
- Duration and aspect ratio when known.
- The exact role of each
@Image,@Video, or@Audioreference. - Identity, product geometry, composition, motion, timing, or audio that must remain stable.
- Delivery goal: product clip, cinematic beat, social post, transition, loop, or sequence.
Never invent model-specific controls, limits, input support, prices, or availability. Use the current product interface when exact settings matter.
Build the prompt
Write in this order:
- Subject and scene.
- One observable subject action.
- Camera framing and one motivated camera move.
- Lighting and visual treatment.
- Duration and aspect ratio if confirmed.
- Reference bindings and continuity constraints.
- A short artifact-focused avoid list.
Keep subject motion separate from camera motion. Avoid competing actions, contradictory camera commands, and long style lists.
For image-to-video, preserve identity, layout, lighting direction, and geometry unless transformation is requested. For multimodal reference work, preserve every token exactly and assign one role per reference. For video-to-video, state which source motion, timing, camera path, and scene structure must survive.
Write in the user's language unless another language is requested. Never translate, renumber, or remove @Image1, @Video1, or @Audio1-style tokens.
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.
- 11d ago First seen · 97 lines · 81 tokens per session scan A e4c2411e61bd
see-dance-2-video-prompt-architect is a skill published in the GitHub repository gpt-img-2/see-dance-2-prompt-mcp (0 stars, last pushed 16d ago), licensed MIT. It adds 81 tokens to every session and 1,154 once invoked, about $0.0004 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 2026-08-31.
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