good-TTvideo2text

good-TTvideo2text is a skill for Claude Code, Codex from ImGoodBai/goodable. It costs 38 tokens per session (1,291 once invoked), scanned A, original, MIT.

A tool that extracts audio from Douyin or TikTok short videos and turns it into timestamped text. Douyin is TikTok's Chinese short-video platform.

In plain words
What is it for?
Transcribing videos supplied by URL, either through a browser interface or a command-line script, with timestamps in the results.
Why use it?
It removes the need to listen through a video manually or create a transcript by hand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Transcribing videos supplied by URL, either through a browser interface or a command-line script, with timestamps in the results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/imgoodbai/goodable/good-ttvideo2text
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 ImGoodBai/goodable --skill good-ttvideo2text
Clone the repo
git clone --depth 1 https://github.com/ImGoodBai/goodable

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 good-TTvideo2text

README.md
[![agentmods](https://agentmods.dev/badge/skills/imgoodbai/goodable/good-ttvideo2text/github.svg)](https://agentmods.dev/skills/imgoodbai/goodable/good-ttvideo2text)
Your own site
<a href="https://agentmods.dev/skills/imgoodbai/goodable/good-ttvideo2text"><img src="https://agentmods.dev/badge/skills/imgoodbai/goodable/good-ttvideo2text/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 good-TTvideo2text

Your own site · 80×15
<a href="https://agentmods.dev/skills/imgoodbai/goodable/good-ttvideo2text"><img src="https://agentmods.dev/badge/skills/imgoodbai/goodable/good-ttvideo2text.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,291 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 $0.00038 $0.01291
Opus 5 $0.00019 $0.00646
Sonnet 5 $0.00008 $0.00258
Haiku 4.5 $0.00004 $0.00129

Measured 9d ago against content hash 20972ba60b98, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

good-TTvideo2text 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.

The scan reads SKILL.md. This mod also ships 4 executable files (app/__init__.py, app/main.py, scripts/transcribe.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.

skills/good-TTvideo2text/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

good-TTvideo2text

Extract audio from Douyin/TikTok videos and transcribe to text using ASR service.

Task Objective

Convert Douyin/TikTok video audio to text with timestamps, supporting both interactive UI and command-line workflow.

Capabilities: Video parsing, audio extraction, ASR transcription, timestamp generation

Trigger: User provides Douyin/TikTok URL and requests transcription

Usage Modes

Mode 1: Web UI (Recommended)

Visual interface for transcription management:

# Install dependencies
cd skills/good-TTvideo2text
pip install -r requirements.txt

# Start service (default port 8000)
python app/main.py

# Browser access
http://localhost:8000

Features:

  • Paste video URL for instant transcription
  • View results with timestamps
  • Cookie management for restricted videos
  • Real-time progress updates

Mode 2: Script (Command Line)

Suitable for automation, AI workflow integration:

# Basic usage
python scripts/transcribe.py "https://v.douyin.com/xxx"

# Extract URL from share text
python scripts/transcribe.py "7.47 复制打开抖音,看看【用户名】的作品 https://v.douyin.com/xxx"

# JSON output
python scripts/transcribe.py "https://v.douyin.com/xxx" --output json

# Text output (default)
python scripts/transcribe.py "https://v.douyin.com/xxx" --output text

Output Format (Text):

=== Video Info ===
Title: Video title
Author: Author name
Duration: 30s

=== Transcription ===
Full Text:
Complete transcription text...

Sentences with Timestamps:
[00:00-00:03] First sentence
[00:03-00:06] Second sentence

Output Format (JSON):

{
  "success": true,
  "video_info": {
    "title": "Video title",
    "author": "Author name",
    "duration": 30,
    "create_time": 1234567890
  },
  "transcription": {
    "text": "Complete transcription...",
    "sentences": [
      {
        "start_ms": 0,
        "end_ms": 3000,
        "text": "First sentence"
      }
    ]
  }
}

Prerequisites

Dependencies:

  • fastapi>=0.120.3, uvicorn>=0.35.0, httpx>=0.28.1
  • TikTokDownloader dependencies (see requirements.txt)

Read the full file on GitHub · 186 lines

Files

What ships with it

11 files 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. 9d ago First seen · 186 lines · 38 tokens per session scan A 20972ba60b98

Subscribe to this mod's changes

good-TTvideo2text is a skill published in the GitHub repository ImGoodBai/goodable (197 stars, last pushed 7mo ago), licensed MIT. It adds 38 tokens to every session and 1,291 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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