Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add FradSer/dotclaude/plugin install officeWrote 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/fradser/dotclaude/generate-video)<a href="https://agentmods.dev/skills/fradser/dotclaude/generate-video"><img src="https://agentmods.dev/badge/skills/fradser/dotclaude/generate-video/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/fradser/dotclaude/generate-video"><img src="https://agentmods.dev/badge/skills/fradser/dotclaude/generate-video.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 | $0.00104 | $0.01504 |
| Opus 5.5 | $0.00042 | $0.00602 |
| Sonnet 5.5 | $0.00021 | $0.00301 |
| Haiku 4.5 | $0.00010 | $0.00150 |
Grade A, and why
generate-video scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Video (Seedance on Volcengine Ark)
Turn a text prompt — optionally anchored by a first frame, a last frame, or reference
images — into a short video. The script submits an async task, polls until it finishes,
and downloads the .mp4. Generation takes a few minutes, so set expectations and let it run.
Prerequisites
-
uvavailable (self-containeduv runscript; deps install on first run). -
A Volcengine Ark key. Resolved progressively, so any one works:
export ARK_API_KEY=...in the shell, or- a
.envfile (checked in order:$PWD/.env, then${CLAUDE_PLUGIN_ROOT}/.env), or --api-key ...on the command line.
CRITICAL -- Never paste the API key into chat or commit a
.env. If the key is missing, the script prints exactly how to set it — relay that instead of guessing.
Workflow
1. Decide the mode
- Text-to-video — prompt only. Best when there is no source image.
- Image-to-video — pass
--first-frame img.png. The still becomes the opening frame and the model adds motion. This is the right mode for animating a storyboard panel or product render. - First→last morph — pass both
--first-frame a.pngand--last-frame b.pngto interpolate a transition between two stills. - Reference-guided —
--image path:reference_image(repeatable) to steer style/composition.
If the user attached an image, default to image-to-video unless they clearly want a fresh scene.
2. Craft the prompt
Read references/prompting.md before writing a non-trivial prompt. Seedance responds well to
prompts that describe the shot over time (beats like [0s-2s] … [2s-5s] …), the camera move,
and what must stay fixed. For image-to-video, explicitly state which traits of the source to
preserve (style, framing, colors) so the clip does not drift.
3. Run the script
Invoke it directly (the shebang runs it through uv):
${CLAUDE_PLUGIN_ROOT}/skills/generate-video/scripts/generate_video.py "PROMPT" -o OUT.mp4 [flags]
What ships with it
2 files 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.
- 22d ago First seen · 105 lines · 104 tokens per session scan A 0a0dbe12e0e6
generate-video is a skill published in the GitHub repository FradSer/dotclaude (593 stars, last pushed 7d ago), licensed MIT. It adds 104 tokens to every session and 1,504 once invoked, about $0.0004 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 2026-09-24.
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