Borrowing it
Nothing to install: this file belongs to maiscafe/video_motion. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/maiscafe/video_motion/master/.agents/skills/website-to-video/SKILL.mdgit clone --depth 1 https://github.com/maiscafe/video_motionWrote 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/maiscafe/video_motion/website-to-video)<a href="https://agentmods.dev/skills/maiscafe/video_motion/website-to-video"><img src="https://agentmods.dev/badge/skills/maiscafe/video_motion/website-to-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/maiscafe/video_motion/website-to-video"><img src="https://agentmods.dev/badge/skills/maiscafe/video_motion/website-to-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 | $0.00154 | $0.02607 |
| Opus 5 | $0.00077 | $0.01303 |
| Sonnet 5 | $0.00031 | $0.00521 |
| Haiku 4.5 | $0.00015 | $0.00261 |
Grade A, and why
website-to-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 9d 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.
This is a copy
91% identical to website-to-video — 4 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
media-use: Before sourcing audio/images, call
/media-useto resolve BGM/SFX/images from the HeyGen catalog. Run--adoptfirst to register existing assets. See/media-useskill.
Website to HyperFrames
Capture a website, then produce a professional video from it.
Confirm the route before Step 0. This skill makes a video of / from a general site. If the user is really marketing / launching / promoting a product (even from this URL, even "promo for our site") →
/product-launch-video. A topic explainer with no site →/faceless-explainer; a GitHub PR →/pr-to-video; re-cutting / recoloring / reordering an existing video file → out of scope. Routed here on a vague "make a video", or unsure launch-vs-general-site? Read/hyperframesfirst (full routing table + § What HyperFrames cannot do).
Users say things like:
- "Turn this website into a 15-second social clip for Instagram"
- "Make a 30-second site tour / showcase from https://..."
- "Capture our homepage and build a video from its own visuals"
The workflow has 7 steps. Each produces an artifact that gates the next. By default it's collaborative — gates marked 💬 stop and ask the user. If the user signals autonomous mode ("decide for me", "surprise me"), 💬 user-preference gates are skipped; see step-2-brief.md for how that propagates.
Autonomous mode is NOT "skip all gates." Auto mode covers user-preference questions (TTS provider, voice, color emphasis, beat count, music yes/no, captions yes/no — where the agent decides on the user's behalf). It does NOT cover quality-verification gates. The following remain non-skippable in auto mode:
- Asset Audit (Step 3) — viewing contact sheets and justifying USE/SKIP for each asset
- Per-beat HTML read (Step 5) — structured evidence block per beat
- DoD checklist (Step 6) — including animation-map, per-warning WCAG verification, audio/motion playback
- Honest disclosure section (Step 6) — "What I did NOT verify" must appear in your final summary
If you find yourself reasoning "auto mode says bias toward action, so I'll skip X" — and X is a verification gate, not a preference question — that reasoning is wrong. Bias toward action applies to deciding what to build, not to deciding whether to verify.
What ships with it
12 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.
- assets/sfx/CREDITS.md 1.2 KB
- assets/sfx/manifest.json 4.2 KB
- references/beat-builder-guide.md 20 KB
- references/capabilities.md 56 KB
- references/step-0-capture.md 4.0 KB
- references/step-1-design.md 20 KB
- references/step-2-brief.md 14 KB
- references/step-3-storyboard.md 47 KB
- references/step-4-vo.md 13 KB
- references/step-5-build.md 28 KB
- references/step-6-validate.md 23 KB
- scripts/w2h-verify.mjs 28 KB runs code
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.
- 9d ago First seen · 146 lines · 154 tokens per session scan A 034276ce1b67
website-to-video is a skill published in the GitHub repository maiscafe/video_motion (2 stars, last pushed 2mo ago), licensed MIT. It adds 154 tokens to every session and 2,607 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to website-to-video, differing in 4 lines, and is treated as a copy.
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