whisper-subtitle

whisper-subtitle is a skill for Claude Code, Codex from joonlab/joonlab-claudecode-setting-for-share. It costs 113 tokens per session (1,536 once invoked), scanned A, original, MIT.

A tool for turning audio and video files into text transcripts or SRT subtitle files using Whisper. SRT is a subtitle format that stores text together with its timing.

In plain words
What is it for?
Use it to create transcripts or timed subtitles from files such as MP3, WAV, MP4, MKV, MOV, and WebM.
Why use it?
It removes the need to type spoken content manually and can process several files one at a time. It supports common audio and video formats.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit Use it to create transcripts or timed subtitles from files such as MP3, WAV, MP4, MKV, MOV, and WebM.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/joonlab/joonlab-claudecode-setting-for-share/whisper-subtitle
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 joonlab/joonlab-claudecode-setting-for-share --skill whisper-subtitle
Clone the repo
git clone --depth 1 https://github.com/joonlab/joonlab-claudecode-setting-for-share

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 whisper-subtitle

README.md
[![agentmods](https://agentmods.dev/badge/skills/joonlab/joonlab-claudecode-setting-for-share/whisper-subtitle/github.svg)](https://agentmods.dev/skills/joonlab/joonlab-claudecode-setting-for-share/whisper-subtitle)
Your own site
<a href="https://agentmods.dev/skills/joonlab/joonlab-claudecode-setting-for-share/whisper-subtitle"><img src="https://agentmods.dev/badge/skills/joonlab/joonlab-claudecode-setting-for-share/whisper-subtitle/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 whisper-subtitle

Your own site · 80×15
<a href="https://agentmods.dev/skills/joonlab/joonlab-claudecode-setting-for-share/whisper-subtitle"><img src="https://agentmods.dev/badge/skills/joonlab/joonlab-claudecode-setting-for-share/whisper-subtitle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,536 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 $0.00113 $0.01536
Opus 5 $0.00056 $0.00768
Sonnet 5 $0.00023 $0.00307
Haiku 4.5 $0.00011 $0.00154

Measured 7d ago against content hash b87f2f88ddaf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

whisper-subtitle 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_subtitle.py), 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.

claude/skills/whisper-subtitle/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Whisper Subtitle Generator

Generate TXT or SRT subtitle files from audio or video files using mlx-whisper with the whisper-medium-mlx model. Supports batch processing (sequential due to MLX GPU constraints).

Quick Start

# Single file (default: TXT format, output to ~/Downloads)
python3 ~/.claude/skills/whisper-subtitle/scripts/generate_subtitle.py "<input_file>"

# Multiple files (batch processing - sequential)
python3 ~/.claude/skills/whisper-subtitle/scripts/generate_subtitle.py "<file1>" "<file2>" "<file3>"

Default Settings

Setting Default Value
Output directory ~/Downloads
Output format txt
Output filename {original_filename}_transcript.txt or .srt
Model mlx-community/whisper-medium-mlx

Important Note

MLX GPU Constraint: mlx-whisper uses Apple MLX (Metal GPU) which doesn't support parallel access from multiple threads. Batch processing is performed sequentially (one file at a time) to avoid GPU conflicts and crashes.

Workflow

1. Identify Input File(s)

Supported formats:

  • Audio: mp3, wav, m4a, flac, ogg, aac
  • Video: mp4, mkv, mov, avi, webm

2. Determine Output Settings

  • Format: Ask user if they want TXT (default) or SRT
  • Output directory: Use user-specified path, or default ~/Downloads
  • Custom filename: If user specifies, use -n option (single file only)

3. Run Subtitle Generation

Single File
# Basic (TXT to ~/Downloads)
python3 ~/.claude/skills/whisper-subtitle/scripts/generate_subtitle.py "/path/to/video.mp4"

# SRT format
python3 ~/.claude/skills/whisper-subtitle/scripts/generate_subtitle.py "/path/to/video.mp4" -f srt

# Custom output directory
python3 ~/.claude/skills/whisper-subtitle/scripts/generate_subtitle.py "/path/to/video.mp4" -o "/custom/path"

# Custom filename
python3 ~/.claude/skills/whisper-subtitle/scripts/generate_subtitle.py "/path/to/video.mp4" -n "my_custom_name"

# Specify language
python3 ~/.claude/skills/whisper-subtitle/scripts/generate_subtitle.py "/path/to/video.mp4" -l en

Read the full file on GitHub · 154 lines

Files

What ships with it

1 file 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. 7d ago First seen · 154 lines · 113 tokens per session scan A b87f2f88ddaf

Subscribe to this mod's changes

whisper-subtitle is a skill published in the GitHub repository joonlab/joonlab-claudecode-setting-for-share (10 stars, last pushed 1mo ago), licensed MIT. It adds 113 tokens to every session and 1,536 once invoked, about $0.0006 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 2026-09-03.

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