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 J-StaR-Films-Studios/VibeCode-Protocol-Suite --skill talking-head-recutgit clone --depth 1 https://github.com/J-StaR-Films-Studios/VibeCode-Protocol-SuiteWrote 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/j-star-films-studios/vibecode-protocol-suite/talking-head-recut)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/talking-head-recut"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/talking-head-recut/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/j-star-films-studios/vibecode-protocol-suite/talking-head-recut"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/talking-head-recut.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 | $0.00172 | $0.15735 |
| Opus 5 | $0.00086 | $0.07867 |
| Sonnet 5 | $0.00034 | $0.03147 |
| Haiku 4.5 | $0.00017 | $0.01573 |
Grade A, and why
talking-head-recut 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
89% identical to talking-head-recut — 49 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 — 1,192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Talking Head Recut
Talking Head Recut takes a local video that plays in full and layers a sequence of
timed, designed graphic cards onto it — titles, lower-thirds, data callouts,
quotes, side panels, picture-in-picture — synced to what's being said. 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 overlays emerge from what the transcript actually says.
Confirm the route before you build. This skill packages an existing talking-head clip with designed graphic cards (titles, lower-thirds, data callouts, quotes, side panels, PiP). If the user wants plain captions / subtitles (the spoken words as text) →
/embedded-captions; a single short unnarrated element (one logo sting / lower-third) →/motion-graphics. The clip plays untouched — re-timing, recoloring, reframing, reordering, or audio is NLE editing and out of scope. Building from a URL / topic / PR → the creation workflows. Unsure overlays-vs-captions? Read/hyperframesfirst.
Graphic-packaging sibling of
embedded-captions. Captions add the spoken words as a readable subtitle; this adds designed graphics on top of the playing video. Plain subtitles →embedded-captions. Build a video from scratch → the creation workflows (product-launch-video/faceless-explainer/ …).
Inspectable intermediate files in the work directory:
metadata.json— duration / width / height / fpsaudio.mp3— extracted audiotranscript.json— a flat word array[{ text, start, end }, …](Whisper; nosegments, nowordswrapper)storyboard.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
What ships with it
20 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/vendor/gsap.min.js 71 KB runs code
- NOTICE.md 1.8 KB
- references/DESIGN_INDEX.md 9.9 KB
- references/frames/clean.html 2.6 KB
- references/frames/hairline.html 5.7 KB
- references/frames/polaroid.html 5.2 KB
- references/layouts/overlay.html 5.3 KB
- references/layouts/pip.html 4.5 KB
- references/layouts/split.html 3.7 KB
- references/layouts/stack.html 3.4 KB
- references/styles/academic.html 5.9 KB
- references/styles/audit.html 6.0 KB
- references/styles/editorial.html 6.4 KB
- references/styles/geom.html 5.6 KB
- references/styles/minimal.html 4.0 KB
- references/styles/spotlight.html 4.8 KB
- references/styles/swiss.html 5.9 KB
- references/styles/terminal.html 6.8 KB
- references/styles/whiteboard.html 5.7 KB
- references/styles/xhs.html 7.0 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 · 1,192 lines · 172 tokens per session scan A 6a55193bbe5b
talking-head-recut is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (24 stars, last pushed yesterday), licensed ISC. It adds 172 tokens to every session and 15,735 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to talking-head-recut, differing in 49 lines, and is treated as a copy.
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