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 notedit/vtake-skills --skill vtake-cutgit clone --depth 1 https://github.com/notedit/vtake-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/notedit/vtake-skills/vtake-cut)<a href="https://agentmods.dev/skills/notedit/vtake-skills/vtake-cut"><img src="https://agentmods.dev/badge/skills/notedit/vtake-skills/vtake-cut/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/notedit/vtake-skills/vtake-cut"><img src="https://agentmods.dev/badge/skills/notedit/vtake-skills/vtake-cut.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 | $0.00062 | $0.20657 |
| Opus 5 | $0.00031 | $0.10328 |
| Sonnet 5 | $0.00012 | $0.04131 |
| Haiku 4.5 | $0.00006 | $0.02066 |
Grade A, and why
vtake-cut 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
81% identical to talking-head-recut — 1,364 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 — 1,486 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VTake Local Workflow
VTake converts a local input video into a card-based composition. The agent
designs the cards (timing + content) and writes each card's HTML directly
in the conversation, then assembles a single composition HTML and renders
it to MP4 via hyperframes. There is no fixed archetype list and no
prescribed card structure — the cards emerge from what the transcript
actually says.
Inspectable intermediate files in the work directory:
metadata.json— duration / width / height / fpsaudio.mp3— extracted audiotranscript.json— segments + words with timestampsstoryboard.json— lightweight card outline (the agent's plan)public/cards/card-XX.html— one HTML fragment per cardpublic/index.html— final assembled compositionoutput.mp4— rendered video
CLI Resolution
# vtake CLI — auto-downloaded from npm on first run
npx -y @notedit/vtake@latest --help
# hyperframes — for rendering the assembled HTML to MP4
npx hyperframes render --help
Every
vtake …command below is shorthand fornpx -y @notedit/vtake@latest ….
Workflow
1. Check Environment
npx -y @notedit/vtake@latest doctor
# confirm bundled assets:
ls "<SKILL_DIR>/assets/fonts" "<SKILL_DIR>/assets/vendor/gsap.min.js"
Required:
ffmpeg/ffprobe(system)<SKILL_DIR>/assets/fonts/*.woff2,<SKILL_DIR>/assets/vendor/gsap.min.js(bundled inside this skill, staged to work dir in Step 9)
Optional:
ELEVEN_API_KEY— when set,vtake transcribeconnects to ElevenLabs directly and bypasses the rate-limited proxy. When not set, it falls back tohttps://vtake.app/api/transcribe, which enforces 3 requests per minute per IP. Override the proxy URL withVTAKE_TRANSCRIBE_ENDPOINT(e.g. for local Wrangler dev).
Strongly recommended on macOS for hyperframes render:
export PRODUCER_BROWSER_GPU_MODE=hardware
2. Create a Work Directory
VIDEO_PATH="/absolute/path/input.mp4"
WORK_DIR=".vtake-work/$(basename "$VIDEO_PATH" | sed 's/\.[^.]*$//')"
mkdir -p "$WORK_DIR"
What ships with it
25 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/fonts/Caveat-400-latin.woff2 73 KB
- assets/fonts/Caveat-700-latin.woff2 73 KB
- assets/fonts/Inter-400-latin.woff2 23 KB
- assets/fonts/Inter-700-latin.woff2 24 KB
- assets/fonts/LXGWWenKaiTC-400-latin.woff2 19 KB
- assets/fonts/Virgil.woff2 60 KB
- assets/vendor/gsap.min.js 71 KB runs code
- references/DESIGN_INDEX.md 7.9 KB
- references/frames/clean.html 2.2 KB
- references/frames/hairline.html 5.1 KB
- references/frames/polaroid.html 5.2 KB
- references/layouts/overlay.html 5.0 KB
- references/layouts/pip.html 4.2 KB
- references/layouts/split.html 3.4 KB
- references/layouts/stack.html 3.1 KB
- references/styles/academic.html 4.6 KB
- references/styles/audit.html 4.8 KB
- references/styles/editorial.html 5.0 KB
- references/styles/geom.html 4.2 KB
- references/styles/minimal.html 3.1 KB
- references/styles/spotlight.html 3.8 KB
- references/styles/swiss.html 4.4 KB
- references/styles/terminal.html 5.3 KB
- references/styles/whiteboard.html 4.5 KB
- references/styles/xhs.html 5.4 KB
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 · 1,486 lines · 62 tokens per session scan A 8d727d9b8bdd
vtake-cut is a skill published in the GitHub repository notedit/vtake-skills (114 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 20,657 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to talking-head-recut, differing in 1,364 lines, and is treated as a copy.
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