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.
npx skills add rameerez/claude-code-startup-skills --skill transcribe-videogit clone --depth 1 https://github.com/rameerez/claude-code-startup-skillsWrote 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/rameerez/claude-code-startup-skills/transcribe-video)<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.
<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>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 | $0.00046 | $0.01325 |
| Opus 5 | $0.00023 | $0.00662 |
| Sonnet 5 | $0.00009 | $0.00265 |
| Haiku 4.5 | $0.00005 | $0.00133 |
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.
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 $ARGUMENTS (a video or audio file path, optionally followed by a language code like en-US or es-ES) using AWS Transcribe.
Outputs .srt, .vtt, and .txt files next to the source file.
Process
- Verify prerequisites - check
ffmpegandawsCLI are installed and configured - Extract audio from the video as MP3 using ffmpeg
- Create temporary S3 bucket, upload audio
- Run AWS Transcribe job with SRT and VTT subtitle output
- Download results and generate plain text transcript
- Clean up all AWS resources - delete S3 bucket, Transcribe job, and temp files. No recurring costs.
Prerequisites
ffmpeginstalled (brew install ffmpeg)awsCLI installed and configured with valid credentials (brew install awscli && aws configure)- AWS credentials need permissions for:
s3:*(create/delete buckets),transcribe:*(start/delete jobs)
Step-by-Step
Step 1: Extract audio
ffmpeg -i "input.mp4" -vn -acodec mp3 -q:a 2 "/tmp/transcribe-audio.mp3" -y
Step 2: Create temp S3 bucket and upload
BUCKET="tmp-transcribe-$(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
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.
- 10d ago First seen · 140 lines · 46 tokens per session scan A 06ed94e89c85
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.
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