camera-3d-captions

camera-3d-captions is a skill for Claude Code, Codex from heygen-com/hyperframes-community-skills. It costs 189 tokens per session (2,467 once invoked), scanned A, original, Apache-2.0.

A video-rendering skill for placing animated captions in 3D space around a talking person. It describes a deterministic frame-by-frame method using a camera, depth, text, and a person matte—the separated outline of the subject.

In plain words
What is it for?
Use it for short, locked-camera talking-head videos with depth-based typography, camera moves, parallax, and words partly hidden behind the speaker.
Why use it?
It gives a defined approach for captions that move behind, around, and at different depths from the speaker. It also identifies cases where the effect is unsuitable, such as handheld footage or plain subtitles.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for short, locked-camera talking-head videos with depth-based typography, camera moves, parallax, and words partly hidden behind the speaker.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/heygen-com/hyperframes-community-skills/camera-3d-captions
Install

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.

Any agent
npx skills add heygen-com/hyperframes-community-skills --skill camera-3d-captions
Clone the repo
git clone --depth 1 https://github.com/heygen-com/hyperframes-community-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for camera-3d-captions

README.md
[![agentmods](https://agentmods.dev/badge/skills/heygen-com/hyperframes-community-skills/camera-3d-captions/github.svg)](https://agentmods.dev/skills/heygen-com/hyperframes-community-skills/camera-3d-captions)
Your own site
<a href="https://agentmods.dev/skills/heygen-com/hyperframes-community-skills/camera-3d-captions"><img src="https://agentmods.dev/badge/skills/heygen-com/hyperframes-community-skills/camera-3d-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.

agentmods 80×15 button for camera-3d-captions

Your own site · 80×15
<a href="https://agentmods.dev/skills/heygen-com/hyperframes-community-skills/camera-3d-captions"><img src="https://agentmods.dev/badge/skills/heygen-com/hyperframes-community-skills/camera-3d-captions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 189 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,467 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00189 $0.02467
Opus 5.5 $0.00076 $0.00987
Sonnet 5.5 $0.00038 $0.00493
Haiku 4.5 $0.00019 $0.00247

Measured 23d ago against content hash 2f5507777cea, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

camera-3d-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 23d ago.

The scan reads SKILL.md. This mod also ships 9 executable files (assets/kit/cam3d.js, assets/kit/finish.js, assets/kit/tables.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/camera-3d-captions/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

3D camera captions

The After Effects move (3D camera, depth of field, text on a path, Posterize Time 15, motion blur) rebuilt as a deterministic per-frame painter for HyperFrames. One clock paints plate, matte and every glyph. Nothing is a CSS animation.

When to use / when not

  • Use on a static-camera talking-head take (avatar or real), landscape, medium shot or wider, 5–20 s per piece. The words must perform in depth around the speaker.
  • Do not use for plain subtitles, a moving or handheld camera (the matte and the plate transform assume a locked shot), extreme close-ups (no room behind or around the head), or a subject a person-matting model can't separate.

Requirements and side effects (complete list)

  • Tools:
    • Node 22+ and the HyperFrames CLI pinned to the tested version, npx [email protected] (downloads from registry.npmjs.org). Use that exact version for every command below.
    • ffmpeg on PATH.
    • Python 3 with fonttools, brotli, numpy, pillow.
  • Matte: npx [email protected] remove-background runs locally. On first run it downloads its person-segmentation model (~170 MB) to ~/.cache/hyperframes/.
  • Render time: compositions load GSAP 3.14.2 from cdn.jsdelivr.net at preview/render time.
  • Word clock: any word-level transcriber the user already runs locally. Onset accuracy matters; plain Whisper starts run late.
  • Fonts: user-supplied files. Confirm the licence allows embedding.
  • Hand-drawn style (optional): needs the p5-paint-animation skill installed and set up (its setup downloads pinned puppeteer, Chrome for Testing, p5 and p5.brush). build-sprites.py runs it headlessly; frames are written to that skill's out/ and removed afterwards.
  • Nothing else: no credentials, no paid calls, nothing uploaded. Files are written only into the project (assets/, renders/).

Prep (once per take)

  1. Portion and plate. bash scripts/prep-take.sh <take.mp4> <start_s> <dur_s> <project>/assets produces:
    • portion.mp4: the audio source.
    • plate-tall.mp4: reflect-padded 240 px each side, 480 px top, 240 px bottom, so whips, trucks and pull-backs never show an edge.
    • person.webm: the alpha matte, same frames.
    • The script then checks the plate and matte against the portion (size, frame rate, frame count) and fails on any mismatch.
  2. Word clock. Word timings for the portion, in seconds from its start.
  3. Fonts. Pick 2–3 roles (caption / hero / ring), then python3 scripts/font-metrics.py assets/metrics.js key=font.woff2[@wght=…,opsz=…] ….
    • A variable font must get its axes passed here AND pinned in CSS (font-variation-settings, font-optical-sizing: none). Otherwise the browser's opsz follows the size and words overlap.
  4. Silhouette. Read the head box and shoulder line off the person.webm alpha before placing anything.

Read the full file on GitHub · 145 lines

Changes

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.

  1. 23d ago First seen · 145 lines · 189 tokens per session scan A 2f5507777cea

Subscribe to this mod's changes

camera-3d-captions is a skill published in the GitHub repository heygen-com/hyperframes-community-skills (208 stars, last pushed 2d ago), licensed Apache-2.0. It adds 189 tokens to every session and 2,467 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-23.

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