transcribe-video

transcribe-video is a skill for Claude Code from rameerez/claude-code-startup-skills. It costs 46 tokens per session (1,325 once invoked), scanned A, original, MIT.

A tool for turning video or audio files into subtitles and written transcripts using AWS Transcribe, Amazon’s speech-to-text service.

In plain words
What is it for?
It extracts audio, sends it to AWS, and creates SRT subtitles, VTT subtitles, and a TXT transcript beside the source file.
Why use it?
It removes the need to type spoken content and subtitle timings by hand, while producing common subtitle formats and plain text.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Part of the startup plugin — 5 skills shipped together

Good fit It extracts audio, sends it to AWS, and creates SRT subtitles, VTT subtitles, and a TXT transcript beside the source file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rameerez/claude-code-startup-skills/transcribe-video
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 rameerez/claude-code-startup-skills --skill transcribe-video
Clone the repo
git clone --depth 1 https://github.com/rameerez/claude-code-startup-skills

Made for: Claude Code.

Or install startup, 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 transcribe-video

README.md
[![agentmods](https://agentmods.dev/badge/skills/rameerez/claude-code-startup-skills/transcribe-video/github.svg)](https://agentmods.dev/skills/rameerez/claude-code-startup-skills/transcribe-video)
Your own site
<a href="https://agentmods.dev/skills/rameerez/claude-code-startup-skills/transcribe-video"><img src="https://agentmods.dev/badge/skills/rameerez/claude-code-startup-skills/transcribe-video/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 transcribe-video

Your own site · 80×15
<a href="https://agentmods.dev/skills/rameerez/claude-code-startup-skills/transcribe-video"><img src="https://agentmods.dev/badge/skills/rameerez/claude-code-startup-skills/transcribe-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,325 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 $0.00046 $0.01325
Opus 5 $0.00023 $0.00662
Sonnet 5 $0.00009 $0.00265
Haiku 4.5 $0.00005 $0.00133

Measured 10d ago against content hash 06ed94e89c85, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

transcribe-video 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 10d 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/transcribe-video/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Transcription Skill

Generate subtitles and transcripts from $ARGUMENTS (a video or audio file path, optionally followed by a language code like en-US or es-ES) using AWS Transcribe.

Outputs .srt, .vtt, and .txt files next to the source file.

Process

  1. Verify prerequisites - check ffmpeg and aws CLI are installed and configured
  2. Extract audio from the video as MP3 using ffmpeg
  3. Create temporary S3 bucket, upload audio
  4. Run AWS Transcribe job with SRT and VTT subtitle output
  5. Download results and generate plain text transcript
  6. Clean up all AWS resources - delete S3 bucket, Transcribe job, and temp files. No recurring costs.

Prerequisites

  • ffmpeg installed (brew install ffmpeg)
  • aws CLI installed and configured with valid credentials (brew install awscli && aws configure)
  • AWS credentials need permissions for: s3:* (create/delete buckets), transcribe:* (start/delete jobs)

Step-by-Step

Step 1: Extract audio

ffmpeg -i "input.mp4" -vn -acodec mp3 -q:a 2 "/tmp/transcribe-audio.mp3" -y

Step 2: Create temp S3 bucket and upload

BUCKET="tmp-transcribe-$(date +%s)"
aws s3 mb "s3://$BUCKET" --region us-east-1
aws s3 cp "/tmp/transcribe-audio.mp3" "s3://$BUCKET/audio.mp3"

Step 3: Start transcription job

JOB_NAME="tmp-job-$(date +%s)"
aws transcribe start-transcription-job \
  --transcription-job-name "$JOB_NAME" \
  --language-code en-US \
  --media-format mp3 \
  --media "MediaFileUri=s3://$BUCKET/audio.mp3" \
  --subtitles "Formats=srt,vtt" \
  --output-bucket-name "$BUCKET" \
  --region us-east-1

Language codes: en-US, es-ES, fr-FR, de-DE, pt-BR, ja-JP, zh-CN, it-IT, ko-KR, etc. Default to en-US if not specified.

Step 4: Poll until complete

while true; do
  STATUS=$(aws transcribe get-transcription-job \
    --transcription-job-name "$JOB_NAME" \
    --region us-east-1 \
    --query 'TranscriptionJob.TranscriptionJobStatus' \
    --output text)
  if [ "$STATUS" = "COMPLETED" ] || [ "$STATUS" = "FAILED" ]; then break; fi
  sleep 5
done

Read the full file on GitHub · 140 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. 10d ago First seen · 140 lines · 46 tokens per session scan A 06ed94e89c85

Subscribe to this mod's changes

transcribe-video is a skill published in the GitHub repository rameerez/claude-code-startup-skills (29 stars, last pushed 6mo ago), licensed MIT. It adds 46 tokens to every session and 1,325 once invoked, about $0.0002 per session on Opus 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 2026-08-30.