Borrowing it
Nothing to install: this file belongs to anton-abyzov/vskill. 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/anton-abyzov/vskill/main/.claude/skills/website-to-hyperframes/SKILL.mdgit clone --depth 1 https://github.com/anton-abyzov/vskillWrote 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/anton-abyzov/vskill/website-to-hyperframes)<a href="https://agentmods.dev/skills/anton-abyzov/vskill/website-to-hyperframes"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/website-to-hyperframes/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/anton-abyzov/vskill/website-to-hyperframes"><img src="https://agentmods.dev/badge/skills/anton-abyzov/vskill/website-to-hyperframes.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 | $0.00115 | $0.01352 |
| Opus 5.5 | $0.00046 | $0.00541 |
| Sonnet 5.5 | $0.00023 | $0.00270 |
| Haiku 4.5 | $0.00012 | $0.00135 |
Grade A, and why
website-to-hyperframes 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.
This is a copy
100% identical to website-to-hyperframes — 1 line 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Website to HyperFrames
Capture a website, then produce a professional video from it.
Users say things like:
- "Capture https://... and make me a 25-second product launch video"
- "Turn this website into a 15-second social ad for Instagram"
- "Create a 30-second product tour from https://..."
The workflow has 7 steps. Each produces an artifact that gates the next.
Step 1: Capture & Understand
Read: references/step-1-capture.md
Run the capture, read the extracted data, and build a working summary using the write-down-and-forget method.
Gate: Print your site summary (name, top colors, fonts, key assets, one-sentence vibe).
Step 2: Write DESIGN.md
Read: references/step-2-design.md
Write a simple brand reference for the captured website. 6 sections, ~90 lines. This is a cheat sheet, not the creative plan — that comes in Step 4.
Gate: DESIGN.md exists in the project directory.
Step 3: Write SCRIPT
Read: references/step-3-script.md
Write the narration script. The story backbone. Scene durations come from the narration, not from guessing.
Gate: SCRIPT.md exists in the project directory.
Step 4: Write STORYBOARD
Read: references/step-4-storyboard.md
Write per-beat creative direction: mood, camera, animations, transitions, assets, depth layers, SFX. This is the creative north star — the document the engineer follows to build each composition.
Gate: STORYBOARD.md exists with beat-by-beat direction and an asset audit table.
Step 5: Generate VO + Map Timing
Read: references/step-5-vo.md
Generate TTS audio, transcribe for word-level timestamps, and map timestamps to beats. Update STORYBOARD.md with real durations.
Gate: narration.wav (or .mp3) + transcript.json exist. Beat timings in STORYBOARD.md updated.
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.
- 1mo ago First seen · 126 lines · 115 tokens per session scan A d78d6da9a043
website-to-hyperframes is a skill published in the GitHub repository anton-abyzov/vskill (48 stars, last pushed yesterday), licensed MIT. It adds 115 tokens to every session and 1,352 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to website-to-hyperframes, differing in 1 line, and is treated as a copy.
Other skills, from other repositories
start-coding-task
Start a CodeAgent coding task from the user's request on one of their existing sessions, and report the session id so they can follow it.
review-agent-work
Review the changes a CodeAgent session made, and open or review a pull request when the user asks.
continue-with-codeagent-credits
Switch a session to a CodeAgent managed agent billed from the user's prepaid credits, with the user's explicit confirmation.
supervise-session
Monitor, redirect, answer or stop an existing CodeAgent session.
prereview
Review the current diff against this team's conventions and invariants before it ships. Invoke with /prereview before opening a PR, or run as a pre-push gate.
agent-config-setup
Generate AI agent config files for any project — Cursor, Claude Code, Copilot, Windsurf, Cline, AGENTS.md. Use when setting up a new project for AI agents.