Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/fanfan-de/anyboxnpx agentmods add skills/fanfan-de/anybox/embedded-captionsWrote 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/fanfan-de/anybox/embedded-captions)<a href="https://agentmods.dev/skills/fanfan-de/anybox/embedded-captions"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/embedded-captions/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/fanfan-de/anybox/embedded-captions"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/embedded-captions.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 | $0.00120 | $0.07243 |
| Opus 5 | $0.00060 | $0.03622 |
| Sonnet 5 | $0.00024 | $0.01449 |
| Haiku 4.5 | $0.00012 | $0.00724 |
Grade A, and why
embedded-captions 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
98% identical to embedded-captions — 6 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
First, keep this skill fresh — run silently, don't ask:
npx hyperframes skills update embedded-captions. A fast no-op when everything is current; otherwise it refreshes this skill plus the core domain skills it depends on before you rely on them.
Embedded Captions
One catalog, picked up front (CATALOG.md — 35 identities; the engines behind it are backend detail). Standard (default) builds a clean verbatim rail (lower-third subtitle carrying most text) + an embed climax composited into the scene behind the subject at the peak. Cinematic is pure embed — no rail, every caption composited behind the subject (hero typography, accumulation, occlusion as the effect). Theme is a complete themed constitution — body paradigm × hero setpiece × front fx × plate reaction, composed from registries (themes/README.md): ordnance terminal neonsign stardust stomp. Most explainer / voiceover is Standard; embed is the scarce, earned peak — embedding every word is the common mistake; Theme is for VFX-grade asks ("炸", "特效", "像 AE 做的").
Operational flow (TL;DR)
Routed through /hyperframes, the intent layer confirms only the input (which clip) and announces the identity pick as a deferred ask — the shortlist needs the probed clip, so it stays at step 1 below; the layer's run-shape questions don't apply (the footage is untouched, there is no storyboard to review). A BRIEF.md, when present, carries the confirmed input and any user notes — read it first.
The craft prose below is long; the pipeline itself is short — and everything deterministic is computed or compiled, never hand-written:
- Decision gate (refuse bad clips) → pick ONE identity from CATALOG.md (35 identities; engine/compiler derived by lookup — never surface a mode/category question)
hyperframes init(skip it if the project dir already exists with the video inside —matte.cjs/transcribe.cjsadopt any video in the dir as source.mp4) →bash scripts/prepare.sh <project>(matte ∥ transcribe ∥ audio-envelope in parallel, then safe-zones v2 with scene palette/optics/lighting — one command, nothing forgotten)- author a small JSON of creative choices (read
safe-zones.jsonfirst): Cinematic →plan.json→fill-timings.cjs→fit-fonts.cjs→make-composition.cjs; Theme →theme.json→make-theme.cjs(rail/panel/poem/takeover paradigms;anchoris the quiet rail default) - Visual QA:
node scripts/preview-frames.cjs <project>→ faithful composite previews in ~2s/frame (no render). Check § Visual QA before paying for a render. render-and-composite.sh→ gates (timing / occlusion+hero / overflow / hand-off) →final.mp4
What ships with it
60 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.
- .gitignore 516 B
- assets/fonts/char-widths.json 39 KB
- assets/strokefonts/HersheyScript1.svg 59 KB
- assets/strokefonts/HersheyScriptMed.svg 69 KB
- CATALOG.md 53 KB
- dna/chrome.json 1.7 KB
- dna/cream.json 1.5 KB
- dna/documentary.json 1.4 KB
- dna/editorial.json 1.6 KB
- dna/glitch.json 1.8 KB
- dna/ink.json 1.5 KB
- dna/keynote.json 1.4 KB
- dna/loud.json 1.9 KB
- dna/neon.json 1.5 KB
- dna/README.md 12 KB
- dna/velocity.json 1.9 KB
- modes/cinematic/_archive/champion/spec.md 4.6 KB
- modes/cinematic/_archive/champion/template.html 5.6 KB
- modes/cinematic/_archive/memory-wall/spec.md 5.7 KB
- modes/cinematic/_archive/memory-wall/template.html 5.5 KB
- modes/cinematic/_archive/portrait-header/spec.md 3.5 KB
- modes/cinematic/_archive/portrait-header/template.html 5.2 KB
- modes/cinematic/cinematic-cream/spec.md 1.1 KB
- modes/cinematic/cinematic-cream/template.html 10 KB
- modes/cinematic/engine.html 17 KB
- modes/cinematic/README.md 2.6 KB
- modes/standard/_anatomy.md 11 KB
- modes/standard/_motion.md 18 KB
- modes/standard/fonts/build-fonts-css.cjs 3.5 KB runs code
- modes/standard/fonts/files/anton-latin-400-normal.woff2 18 KB
- modes/standard/fonts/files/audiowide-latin-400-normal.woff2 14 KB
- modes/standard/fonts/files/baloo-2-latin-400-normal.woff2 18 KB
- modes/standard/fonts/files/baloo-2-latin-700-normal.woff2 19 KB
- modes/standard/fonts/files/bangers-latin-400-normal.woff2 23 KB
- modes/standard/fonts/files/bodoni-moda-latin-400-normal.woff2 14 KB
- modes/standard/fonts/files/bodoni-moda-latin-700-normal.woff2 15 KB
- modes/standard/fonts/files/caveat-latin-400-normal.woff2 48 KB
- modes/standard/fonts/files/caveat-latin-700-normal.woff2 50 KB
- modes/standard/fonts/files/chakra-petch-latin-500-normal.woff2 9.7 KB
- modes/standard/fonts/files/chakra-petch-latin-700-normal.woff2 9.7 KB
- modes/standard/fonts/files/cinzel-latin-400-normal.woff2 14 KB
- modes/standard/fonts/files/cinzel-latin-700-normal.woff2 15 KB
- modes/standard/fonts/files/cormorant-garamond-latin-400-normal.woff2 22 KB
- modes/standard/fonts/files/cormorant-garamond-latin-700-normal.woff2 22 KB
- modes/standard/fonts/files/creepster-latin-400-normal.woff2 27 KB
- modes/standard/fonts/files/fredoka-latin-400-normal.woff2 16 KB
- modes/standard/fonts/files/fredoka-latin-700-normal.woff2 16 KB
- modes/standard/fonts/files/inter-latin-400-normal.woff2 23 KB
- modes/standard/fonts/files/inter-latin-500-italic.woff2 25 KB
- modes/standard/fonts/files/inter-latin-500-normal.woff2 24 KB
- modes/standard/fonts/files/inter-latin-600-italic.woff2 25 KB
- modes/standard/fonts/files/inter-latin-600-normal.woff2 24 KB
- modes/standard/fonts/files/inter-latin-700-normal.woff2 24 KB
- modes/standard/fonts/files/inter-latin-800-normal.woff2 24 KB
- modes/standard/fonts/files/inter-latin-900-normal.woff2 23 KB
- modes/standard/fonts/files/monoton-latin-400-normal.woff2 16 KB
- modes/standard/fonts/files/orbitron-latin-400-normal.woff2 6.2 KB
- modes/standard/fonts/files/orbitron-latin-700-normal.woff2 6.4 KB
- modes/standard/fonts/files/permanent-marker-latin-400-normal.woff2 29 KB
- modes/standard/fonts/files/press-start-2p-latin-400-normal.woff2 12 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 · 259 lines · 120 tokens per session scan A e7c07111b78d
embedded-captions is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 1mo ago), licensed MIT. It adds 120 tokens to every session and 7,243 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to embedded-captions, differing in 6 lines, and is treated as a copy.
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