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captions-and-transcription

captions-and-transcription is a skill for Claude Code from latestaiagents/agent-skills. It costs 144 tokens per session (2,330 once invoked), scanned A, original, MIT.

A workflow for creating, correcting, timing, styling, and delivering captions for video. It uses speech-to-text tools such as Whisper to make a first draft, then checks the words, timing, and readability before publication.

In plain words
What is it for?
Use it to create SRT, WebVTT, or ASS caption files, review existing captions, make word-timed animated captions, and prepare captions for social or published videos.
Why use it?
Automatic transcripts can contain errors or display too quickly to follow. Proper captions make spoken content usable without sound and support accessibility requirements for prerecorded video.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is sh ./models/download-ggml-model.sh base.en.

Part of the video-motion plugin — 5 skills shipped together , and of latestaiagents

not rated 6repo 9d ago A scan 144 tokens original MIT

Good fit Use it to create SRT, WebVTT, or ASS caption files, review existing captions, make word-timed animated captions, and prepare captions for social or published videos.

Compare 6 skills from other repositories ↓
View source ↗ latestaiagents/agent-skills latestaiagents.com
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/latestaiagents/agent-skills
agentmods
npx agentmods add skills/latestaiagents/agent-skills/captions-and-transcription

Made for: Claude Code.

Or install video-motion, the plugin that ships this one along with the rest of its 5 skills.

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 captions-and-transcription

README.md
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Your own site
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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.

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Per session 144 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,330 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 $0.00144 $0.02330
Opus 5.5 $0.00058 $0.00932
Sonnet 5.5 $0.00029 $0.00466
Haiku 4.5 $0.00014 $0.00233

Measured 9d ago against content hash 32c9cbd660de, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

captions-and-transcription 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.

skills/video-motion/captions-and-transcription/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Captions and Transcription

Machine transcription is a first draft. Captions ship only after a human-quality pass for accuracy, timing, and readability.

When to Use

  • Any video with speech that will be published (captions are a WCAG requirement for prerecorded synchronized media)
  • Sound-off social video where captions carry the message
  • Creating word-timed "kinetic" captions for Remotion or HyperFrames compositions
  • Auditing existing captions

Workflow

Step 1: Extract Clean Audio

# 16 kHz mono 16-bit WAV: the input format the whisper.cpp README asks for; fine for the others too
ffmpeg -i video.mp4 -ar 16000 -ac 1 -c:a pcm_s16le speech.wav

If the mix has loud music, transcribe the VO stem rather than the final mix.

Step 2: Choose a Transcription Tool

All four run locally; audio does not leave the machine. Pick by environment, not by hype.

Tool Install Strength Licence
openai-whisper pip install -U openai-whisper (needs FFmpeg) Reference implementation; CLI writes SRT/VTT directly MIT
whisper.cpp Build with CMake; download a ggml model C/C++, no Python; CLI writes SRT/VTT MIT
faster-whisper pip install faster-whisper CTranslate2 reimplementation; Python API with word timestamps and VAD filter MIT
WhisperX pip install whisperx Word-level timestamps via forced alignment; optional speaker diarization BSD-2-Clause

Hosted speech-to-text APIs are also an option when local compute is unavailable; check the provider's data-handling terms before uploading user audio.

openai-whisper CLI:

whisper speech.wav --model turbo --language English --output_format srt --output_dir captions/
# Word-level timing and line control (these flags require --word_timestamps True)
whisper speech.wav --model turbo --word_timestamps True --max_line_width 42 --max_line_count 2 --output_format srt

Models: tiny, base, small, medium, large, turbo (English-only .en variants exist except for large and turbo). --task translate translates to English.

Read the full file on GitHub · 173 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. 9d ago First seen · 173 lines · 144 tokens per session scan A 32c9cbd660de

Subscribe to this mod's changes

captions-and-transcription is a skill published in the GitHub repository latestaiagents/agent-skills (6 stars, last pushed 9d ago), licensed MIT. It adds 144 tokens to every session and 2,330 once invoked, about $0.0006 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 2026-11-04.

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