AI-Video-Transcriber: Skill for Claude Code

.claude/skills/video-transcribe/SKILL.md

video-transcribe is a skill for Claude Code from wendy7756/AI-Video-Transcriber. It costs 108 tokens per session (1,022 once invoked), scanned B, original, Apache-2.0.

A tool for turning a video or podcast URL, or a local media file, into a transcript and optional translation or summary. It uses available subtitles first and speech-recognition software when subtitles are unavailable.

In plain words
What is it for?
Use it to transcribe videos and podcasts, translate or summarize them, keep only the raw transcript, or download the source video when needed.
Why use it?
It removes the need to listen through an entire recording or manually type what was said, while also handling different supported media platforms.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is wendy7756/AI-Video-Transcriber's own configuration. It tells Claude Code how to work on AI-Video-Transcriber itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AI-Video-Transcriber configures →

About the project

AI Video Transcriber is an open-source tool that turns online videos, podcasts, and local media files into transcripts, summaries, and archived content. It is for people who need to extract and organize spoken content from services such as YouTube, TikTok, Bilibili, Apple Podcasts, and SoundCloud.

wendy7756/AI-Video-Transcriber · 3,272 stars · on GitHub · sipsip.ai

Reuse

Borrowing it

Nothing to install: this file belongs to wendy7756/AI-Video-Transcriber. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/wendy7756/AI-Video-Transcriber/main/.claude/skills/video-transcribe/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/wendy7756/AI-Video-Transcriber

Made for: Claude Code.

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 video-transcribe

README.md
[![agentmods](https://agentmods.dev/badge/skills/wendy7756/ai-video-transcriber/video-transcribe/github.svg)](https://agentmods.dev/skills/wendy7756/ai-video-transcriber/video-transcribe)
Your own site
<a href="https://agentmods.dev/skills/wendy7756/ai-video-transcriber/video-transcribe"><img src="https://agentmods.dev/badge/skills/wendy7756/ai-video-transcriber/video-transcribe/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 video-transcribe

Your own site · 80×15
<a href="https://agentmods.dev/skills/wendy7756/ai-video-transcriber/video-transcribe"><img src="https://agentmods.dev/badge/skills/wendy7756/ai-video-transcriber/video-transcribe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,022 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Privilege Escalation · line 20
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
How audits are shown
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 $0.00108 $0.01022
Opus 5 $0.00054 $0.00511
Sonnet 5 $0.00022 $0.00204
Haiku 4.5 $0.00011 $0.00102

Measured 12d ago against content hash 73366e353239, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

video-transcribe scanned grade B with 1 finding 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 12d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- **No ffmpeg** → `brew install ffmpeg` (macOS) / `sudo apt install ffmpeg` (Debian/Ubuntu). Do not proceed without it; audio extraction will fail.
.claude/skills/video-transcribe/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Transcribe

Runs this repo's pipeline headlessly: platform subtitles when available (seconds), local Whisper as fallback, then optimize → translate → summarize.

Before running

The command needs the project's virtualenv and ffmpeg. Verify once per session:

ls venv/bin/python && command -v ffmpeg
  • No venv./install.sh (or python3 -m venv venv && venv/bin/pip install -r requirements.txt)
  • No ffmpegbrew install ffmpeg (macOS) / sudo apt install ffmpeg (Debian/Ubuntu). Do not proceed without it; audio extraction will fail.

Run it

venv/bin/python transcribe.py "<URL or file path>" --json

Always pass --json — it puts machine-readable output on stdout and keeps progress chatter on stderr. Parse the JSON rather than scraping the log lines.

Useful flags:

Flag When to use
-l, --summary-language <code> Summary language: en, zh, es, fr, de, it, pt, ru, ja, ko, ar. Default en
--no-llm No API key available, or the user only wants the raw transcript. Skips optimize/translate/summarize
--no-video User doesn't want the source video kept (faster, less disk)
--whisper-model small Accuracy matters more than speed. tinylarge, default base
-o <dir> Write the Markdown somewhere other than ./temp

The LLM steps need an OpenAI-compatible key via OPENAI_API_KEY (and optionally OPENAI_BASE_URL). Without one the pipeline still transcribes but falls back to basic formatting — prefer --no-llm in that case and summarize the transcript yourself, which is usually better anyway since you have the full context.

Provider settings:

export OPENAI_API_KEY="your_api_key_here"
export OPENAI_BASE_URL="https://openrouter.ai/api/v1"
export OPENAI_TRANSLATION_MODEL="gpt-4o"  # optional

For a one-off run, transcribe.py also accepts --api-key, --base-url, and --model. Prefer environment variables when possible so API keys are not written to shell history.

Read the full file on GitHub · 90 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. 12d ago First seen · 90 lines · 108 tokens per session scan B 73366e353239

Subscribe to this mod's changes

video-transcribe is a skill published in the GitHub repository wendy7756/AI-Video-Transcriber (3,272 stars, last pushed 19d ago), licensed Apache-2.0. It adds 108 tokens to every session and 1,022 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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