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 leynos/visual-storytelling-skills --skill seedance-2-deep-divegit clone --depth 1 https://github.com/leynos/visual-storytelling-skillsWrote 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/leynos/visual-storytelling-skills/seedance-2-deep-dive)<a href="https://agentmods.dev/skills/leynos/visual-storytelling-skills/seedance-2-deep-dive"><img src="https://agentmods.dev/badge/skills/leynos/visual-storytelling-skills/seedance-2-deep-dive/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/leynos/visual-storytelling-skills/seedance-2-deep-dive"><img src="https://agentmods.dev/badge/skills/leynos/visual-storytelling-skills/seedance-2-deep-dive.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 | $0.00123 | $0.02647 |
| Opus 5 | $0.00062 | $0.01324 |
| Sonnet 5 | $0.00025 | $0.00529 |
| Haiku 4.5 | $0.00012 | $0.00265 |
Grade A, and why
seedance-2-deep-dive 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.
How it starts
The opening of the file, as written. The whole thing — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seedance 2.0 Deep Dive
Use this skill when shot-specifier routes a shot to seedance_2_0 or when
video-generator is about to submit Seedance 2.0 jobs through the Higgsfield Model
Context Protocol (MCP).
Seedance 2.0 is best treated as a constraint-driven multimodal video model, not a text-prompt toy. Text describes the new action. Images, video, and audio references carry identity, style, motion, rhythm, and continuity. The practical skill is deciding which constraints matter, passing them explicitly, and keeping each clip short enough that the model does not drift.
Live-Schema Rule
Before any production generation, inspect the live Higgsfield MCP schema through
video-generator. Public guidance and creator reports disagree on exact model IDs,
quality modes, file limits, duration ranges, and reference roles.
Use the limits below as planning defaults only. If the live MCP schema is narrower, follow the live schema. If the required references cannot be supplied, stop and ask for a production decision.
S01 session 2 observed that the current Higgsfield MCP accepted a Seedance
resolution=1080p input while still downloading 1344x768 video, and auto-enabled
generated audio without exposing a generate_audio input key. Treat resolution settings
as schema-gated quality hints until the downloaded pixels prove otherwise. Treat audio
toggles as intent records unless the live schema exposes them.
When Seedance 2.0 Is The Right Route
Prefer Seedance 2.0 when the shot needs:
- consistent character, costume, product, prop, or recurring visual element identity;
- multiple image references acting as hard creative constraints;
- a short but polished action beat, hook, transformation, product move, or b-roll shot;
- audio-driven pacing from a chosen track, ambience, voice, or sound-effect reference;
- campaign or sequence coherence across many clips;
- image-to-video work from carefully designed start and end frames.
Do not default to Seedance 2.0 when the main requirement is maximum native resolution, long single-shot duration, low-setup one-off generation, exact on-screen text, complex hands, or a large multi-character scene with many competing subjects. Consider Kling for camera-motion-heavy exteriors or motion-control work; consider Veo/native-audio routes when generated audio is the asset rather than an input constraint.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 246 lines · 123 tokens per session scan A e3757c0dc652
seedance-2-deep-dive is a skill published in the GitHub repository leynos/visual-storytelling-skills (6 stars, last pushed 1mo ago), licensed ISC. It adds 123 tokens to every session and 2,647 once invoked, about $0.0006 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.
Other skills, from other repositories
wavespeed
Generate or edit AI media (image, video, audio, 3D) by calling the wavespeed CLI on the user's machine. Use whenever the user asks to create, edit, animate, upscale, or transform a visual asset, generate audio/TTS/music, or produce marketing creatives. Every model on the WaveSpeed platform is one wavespeed run call.
ai-hive-simulate-ali-abdaal
A research and content-planning workflow that studies Ali Abdaal’s public work on AI, technology startups, products, business, and teaching. It turns those observations into original material and advisory analysis without impersonating him.
ai-hive-simulate-aravind-srinivas
A research and content-planning workflow that studies Aravind Srinivas’s public work on AI, technology startups, products, business, and teaching. It turns those observations into original material and advisory analysis without impersonating him.
ai-hive-simulate-baoyu-xp
A research and writing workflow that studies Baoyu XP's public methods for explaining AI, technology, products, digital tools, and engineering. It turns those general methods into original content and does not impersonate Baoyu XP.
ai-hive-simulate-berryxia-ai
A research and writing workflow that studies Berryxia AI's public methods for AI tools, agents, AI programming, visual generation, products, and business use. It adapts those methods into original work without imitating the person's identity.
ai-hive-simulate-dario-amodei
A research and content-planning workflow that studies Dario Amodei’s public material about AI, technology companies, products, and management.