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 2233admin/design-pipeline --skill caption-animationgit clone --depth 1 https://github.com/2233admin/design-pipelineWrote 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/2233admin/design-pipeline/caption-animation)<a href="https://agentmods.dev/skills/2233admin/design-pipeline/caption-animation"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/caption-animation/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/2233admin/design-pipeline/caption-animation"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/caption-animation.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 | $0.00116 | $0.02630 |
| Opus 5 | $0.00058 | $0.01315 |
| Sonnet 5 | $0.00023 | $0.00526 |
| Haiku 4.5 | $0.00012 | $0.00263 |
Grade A, and why
caption-animation 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 8d 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 caption-animation — 0 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Caption Animation
Turn a transcript or voiceover into word-timed, scroll-stopping captions: each word pops in on the syllable, the active word highlights, and the text stays glued to the narration. Build the kind of captions that drive watch-time on TikTok, Reels, and Shorts — readable, on-beat, and inside the safe area.
When to use
- Word-by-word or karaoke captions on short-form vertical video (9:16).
- Burning open captions onto a voiceover/narration track from a transcript.
- Turning a Whisper/SRT transcript into animated text in Remotion or on the web.
- Restyling auto-generated subtitles into a branded, "Hormozi-style" reveal.
The pipeline
| Stage | Job | Tool |
|---|---|---|
| Transcribe | Audio → word-level timestamps | Whisper (@remotion/install-whisper-cpp), AssemblyAI |
| Normalize | → { text, startMs, endMs }[] tokens |
@remotion/captions Caption type |
| Page | Group words into 1–4 word "pages" | createTikTokStyleCaptions() |
| Animate | Per-word pop + active-word highlight | Remotion spring() / CSS |
| Place | Safe-area, readable type | layout rules below |
| Export | Burn-in (MP4) and/or sidecar SRT/VTT | Remotion render / file emit |
Two non-negotiable rules
- Word-level timing, not line-level. Karaoke reads as magic only when each word lands on the syllable. Always transcribe to word timestamps; never fake them by splitting a line evenly over its duration — drift is instantly visible.
- Readability beats style. Captions are read on a phone, in sunlight, muted. Bold sans-serif, heavy stroke or shadow, high contrast first; decoration second. A caption nobody can read is decoration, not a caption.
Word timing from a transcript
Whisper emits word-level timestamps directly. Normalize every source into one flat token shape so the renderer never cares where the words came from:
// Caption token — the one shape everything downstream consumes
type Token = { text: string; startMs: number; endMs: number };
// Parse an SRT cue block "00:00:01,200 --> 00:00:01,640" into ms
const toMs = (t: string) => {
const [h, m, rest] = t.split(":");
const [s, ms] = rest.split(",");
return ((+h * 60 + +m) * 60 + +s) * 1000 + +ms;
};
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.
- 8d ago First seen · 178 lines · 116 tokens per session scan A 734b05774507
caption-animation is a skill published in the GitHub repository 2233admin/design-pipeline (9 stars, last pushed 9d ago), licensed MIT. It adds 116 tokens to every session and 2,630 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to caption-animation, differing in 0 lines, and is treated as a copy.
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