embedded-captions

embedded-captions is a skill for Claude Code, Codex from fanfan-de/anybox. It costs 120 tokens per session (7,243 once invoked), scanned A, a copy of embedded-captions, MIT.

A video-editing workflow for adding captions or subtitles to an existing single-person talking-head video. It supports ordinary readable captions as well as captions composited into the scene behind the speaker.

In plain words
What is it for?
Use it to create verbatim subtitles, lower-third captions, cinematic text behind the subject, and stylized visual caption effects.
Why use it?
It adds timed text and visual caption effects without changing the original footage or requiring a full video-editing workflow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is 2. bash scripts/prepare.sh <project> # matte ∥ transcribe (parallel) → safe-zones. One command..

Good fit Use it to create verbatim subtitles, lower-third captions, cinematic text behind the subject, and stylized visual caption effects.

Compare 6 skills from other repositories ↓
Install

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.

Clone the repo
git clone --depth 1 https://github.com/fanfan-de/anybox
agentmods
npx agentmods add skills/fanfan-de/anybox/embedded-captions

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 embedded-captions

README.md
[![agentmods](https://agentmods.dev/badge/skills/fanfan-de/anybox/embedded-captions/github.svg)](https://agentmods.dev/skills/fanfan-de/anybox/embedded-captions)
Your own site
<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.

agentmods 80×15 button for embedded-captions

Your own site · 80×15
<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>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,243 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 98% copy Near-identical to another mod 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 $0.00120 $0.07243
Opus 5 $0.00060 $0.03622
Sonnet 5 $0.00024 $0.01449
Haiku 4.5 $0.00012 $0.00724

Measured 9d ago against content hash e7c07111b78d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 1 executable file (modes/standard/fonts/build-fonts-css.cjs), 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.

Origin

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.

plugins/Anybox-Plugins/hyperframes/skills/embedded-captions/SKILL.md · 259 lines

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:

  1. Decision gate (refuse bad clips) → pick ONE identity from CATALOG.md (35 identities; engine/compiler derived by lookup — never surface a mode/category question)
  2. hyperframes init (skip it if the project dir already exists with the video inside — matte.cjs/transcribe.cjs adopt 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)
  3. author a small JSON of creative choices (read safe-zones.json first): Cinematic → plan.jsonfill-timings.cjsfit-fonts.cjsmake-composition.cjs; Theme → theme.jsonmake-theme.cjs (rail/panel/poem/takeover paradigms; anchor is the quiet rail default)
  4. Visual QA: node scripts/preview-frames.cjs <project> → faithful composite previews in ~2s/frame (no render). Check § Visual QA before paying for a render.
  5. render-and-composite.sh → gates (timing / occlusion+hero / overflow / hand-off) → final.mp4

Read the full file on GitHub · 259 lines

Files

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.

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. 9d ago First seen · 259 lines · 120 tokens per session scan A e7c07111b78d

Subscribe to this mod's changes

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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