seedance-camera

seedance-camera is a skill for Claude Code from anymouschina/TapCanvas. It costs 58 tokens per session (1,110 once invoked), scanned A, a copy of seedance-camera, MIT.

A guide to directing the camera in Seedance 2.0 clips, covering framing, shot size, lens feel, and movements such as pans, tilts, push-ins, and tracking. It recommends one clear camera idea with a defined start, motion, subject relationship, and end.

In plain words
What is it for?
Use it to write or improve camera directions for one-take shots, close-ups, aerial views, macro shots, dolly moves, handheld footage, and other Seedance scenes.
Why use it?
It prevents incompatible camera instructions from being stacked into one short clip. Clear movement gives the video model a more concrete view of where the viewer is and how that view changes.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: built for openclaw.

Good fit Use it to write or improve camera directions for one-take shots, close-ups, aerial views, macro shots, dolly moves, handheld footage, and other Seedance scenes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anymouschina/tapcanvas/seedance-camera
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 anymouschina/TapCanvas --skill seedance-camera
Clone the repo
git clone --depth 1 https://github.com/anymouschina/TapCanvas

Made for: Claude Code.

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-camera

README.md
[![agentmods](https://agentmods.dev/badge/skills/anymouschina/tapcanvas/seedance-camera/github.svg)](https://agentmods.dev/skills/anymouschina/tapcanvas/seedance-camera)
Your own site
<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/seedance-camera"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/seedance-camera/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-camera

Your own site · 80×15
<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/seedance-camera"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/seedance-camera.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,110 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.
Origin 88% copy Near-identical to another mod 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 $0.00058 $0.01110
Opus 5.5 $0.00023 $0.00444
Sonnet 5.5 $0.00012 $0.00222
Haiku 4.5 $0.00006 $0.00111

Measured 1mo ago against content hash 3f1039cb344c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

seedance-camera 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.

Origin

This is a copy

88% identical to seedance-camera — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

apps/agents-cli/skills/seedance-20/skills/seedance-camera/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

seedance-camera

Surface reference contract: literal @Video1 and @Image1 strings below are Seedance 2.0 surface examples. Emit only exact tokens supplied by the user or active structured surface; on Seedance 2.5 without token mapping, use the structured reference fields or neutral asset-role names and never invent tags.

Use one clear camera idea per short clip unless the user asks for a multi-shot sequence. The best camera direction has a start frame, movement, speed, subject relationship, and endpoint. Avoid stacking moves that fight each other, such as drone rise, dolly-in, handheld shake, and orbit in the same five-second shot.

Load [ref:quick-ref] for prompt assembly, [ref:cinematography-shot-language] for professional shot contracts, [ref:directing-engine] to derive the move from the scene's one intention so it reinforces light, performance, and sound instead of competing, and [ref:vocab/zh] or [ref:vocab/ru] when camera wording must be multilingual.

Intent

When a user asks about camera, they are really asking where the viewer's body stands and what the viewer is made to feel from there. Camera grammar is empathy mechanics: a push-in is leaning closer, a locked frame is holding your breath. Choose the move that puts the audience where the user's feeling lives.

Camera Contract

State: shot scale, angle, movement, speed, subject relationship, and endpoint. A prompt-ready camera phrase should be physically possible and tied to the subject's action.

Need Strong phrase Avoid
Emotional realization slow dolly-in from medium close-up to tight close-up as Character A lowers the envelope dramatic cinematic zoom
Product reveal controlled slider move from silhouette to front three-quarter hero angle, ending on the label dynamic product camera
Scale low-angle crane up from boots to skyline, ending behind the character's shoulder epic wide moving shot
Instability subtle handheld shoulder camera, small breathing sway, subject kept centered shaky chaotic camera everywhere
Precision detail locked macro shot, focus stays on the watch gears while the second hand clicks once cool close-up details

Read the full file on GitHub · 70 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. 1mo ago First seen · 70 lines · 58 tokens per session scan A 3f1039cb344c

Subscribe to this mod's changes

seedance-camera is a skill published in the GitHub repository anymouschina/TapCanvas (686 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 1,110 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to seedance-camera, differing in 8 lines, and is treated as a copy.

Related

Other skills, from other repositories

seedance-camera

This skill should be used when the user asks for camera movement, shot scale, lens feel, framing, one-take direction, dolly, pan, tilt, push-in, handheld, aerial, macro, or camera-transfer guidance for Seedance 2.0.

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