Chubby Skills is a collection of 14 agent skills and command-line tools that collects videos, podcasts, articles, and local documents into a searchable personal knowledge base of Markdown files with source information. Content creators and people maintaining personal research libraries use it to save material, find supporting evidence, and export source-based research packs. Its catalogue add-ons are the project's own skills, which let coding agents collect, search, read, and package knowledge-base content, with an optional MCP server for agent access.
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 chubbyguan/chubbyskills --skill youtube-transcribegit clone --depth 1 https://github.com/chubbyguan/chubbyskillsWrote 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/chubbyguan/chubbyskills/youtube-transcribe)<a href="https://agentmods.dev/skills/chubbyguan/chubbyskills/youtube-transcribe"><img src="https://agentmods.dev/badge/skills/chubbyguan/chubbyskills/youtube-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.
<a href="https://agentmods.dev/skills/chubbyguan/chubbyskills/youtube-transcribe"><img src="https://agentmods.dev/badge/skills/chubbyguan/chubbyskills/youtube-transcribe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 40 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.
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 | $0.00041 | $0.01147 |
| Opus 5.5 | $0.00016 | $0.00459 |
| Sonnet 5.5 | $0.00008 | $0.00229 |
| Haiku 4.5 | $0.00004 | $0.00115 |
Grade B, and why
youtube-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 1mo 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.
# Ubuntu: sudo apt install ffmpeg && pip install yt-dlp How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube 视频转录 + 翻译 Skill
字幕优先：先抓官方/自动字幕（秒级、免 GPU），抓不到再下载音频用 SenseVoice-Small 转录；英文内容自动翻译成中文，输出中英对照 Markdown。加 --no-subtitle 可强制走音频转录。
为什么需要这个
YouTube 有大量优质英文内容，但很多人没时间看完或语言不通。这个 skill：
- 转录视频为文字（支持中英文）
- 英文内容自动翻译成高质量中文
- 输出中英对照，方便学习
环境要求
# Python 3.9+
python -m venv .venv
source .venv/bin/activate
# 依赖
pip install funasr modelscope torch torchaudio
# 系统依赖
# macOS: brew install ffmpeg yt-dlp
# Ubuntu: sudo apt install ffmpeg && pip install yt-dlp
# 翻译功能（可选，英文视频需要）
export DEEPSEEK_API_KEY="your-api-key"
使用方法
python scripts/transcribe.py "https://www.youtube.com/watch?v=xxxxx"
python scripts/transcribe.py "https://www.youtube.com/watch?v=xxxxx" --output ./output
python scripts/transcribe.py "https://www.youtube.com/watch?v=xxxxx" --no-translate # 不翻译
python scripts/transcribe.py "https://www.youtube.com/watch?v=xxxxx" --no-subtitle # 强制音频转录
python scripts/batch_transcribe.py urls.txt -o ./output --no-translate
流程
Step 1: yt-dlp 下载音频
yt-dlp --extract-audio --audio-format mp3 --audio-quality 128K \
"https://www.youtube.com/watch?v=xxxxx"
Step 2: SenseVoice-Small 转录
from funasr import AutoModel
model = AutoModel(model="iic/SenseVoiceSmall", ...)
result = model.generate(input=audio_path, language="auto", use_itn=True)
Step 3: 语言检测 + 翻译
- 中文内容 → 直接输出
- 英文内容 → LLM 翻译成中文，输出中英对照
Step 4: 生成 Markdown
---
title: 视频标题
type: note
tags: [YouTube]
language: en
translated: true
---
# 视频标题
> 转录引擎：SenseVoice-Small | 翻译：DeepSeek
## 中文翻译
翻译内容...
---
## English Original
原文内容...
批量模式
scripts/batch_transcribe.py 支持 URL 列表批处理，默认单条失败后继续处理下一条；需要严格模式时加 --stop-on-error。
翻译配置
默认使用 DeepSeek API 翻译。需要设置环境变量：
export DEEPSEEK_API_KEY="your-api-key"
支持的 LLM：
- DeepSeek（推荐，性价比高）
- OpenAI
- 任何兼容 OpenAI API 格式的服务
性能数据
| 视频时长 | 下载 | 转录 | 翻译 | 总耗时 |
|---|---|---|---|---|
| 5 min | ~10s | ~5s | ~10s | ~30s |
| 10 min | ~15s | ~10s | ~20s | ~50s |
| 30 min | ~30s | ~30s | ~60s | ~2min |
What ships with it
3 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.
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.
- 1mo ago Changed · -3 lines 9942a85fc621
- 1mo ago First seen · 145 lines · 41 tokens per session scan B f25baf21e3d0
youtube-transcribe is a skill published in the GitHub repository chubbyguan/chubbyskills (1,284 stars, last pushed 13d ago), licensed MIT. It adds 41 tokens to every session and 1,147 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
chinese-documentation
A Chinese technical-documentation style guide covering spacing, punctuation, numbers, terminology, and links when Chinese and English appear together.
humanizer-zh-next
A Chinese-language editing skill that rewrites text to sound more natural and less like it was generated by artificial intelligence.
fanyi
A command-line tool for translating between Chinese and English and looking up words or short phrases. It combines dictionary results with a language-model translation, including meanings, pronunciation, related words and examples.
seedance-vocab-zh
This skill should be used when the user asks for Chinese Seedance 2.0 prompt wording, Mandarin cinematic vocabulary, Chinese prompt compression, or translation of camera, lighting, action, VFX, audio, and production terms into Chinese.
starcat-localization-sync
A process for managing Starcat’s app translations from draft text through review, import, and release across 18 languages. It keeps the app’s translation catalogue and the public translation repository aligned.
qu-ai-wei
A tool for rewriting Simplified Chinese so it sounds more natural while keeping the original facts, meaning, evidence strength, tone, and authorial voice.