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 agentmods add skills/cn-big-cabbage/github-skill-distiller/you-getnpx skills add CN-big-cabbage/github-skill-distiller --skill you-getgit clone --depth 1 https://github.com/CN-big-cabbage/github-skill-distillerWrote 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/cn-big-cabbage/github-skill-distiller/you-get)<a href="https://agentmods.dev/skills/cn-big-cabbage/github-skill-distiller/you-get"><img src="https://agentmods.dev/badge/skills/cn-big-cabbage/github-skill-distiller/you-get.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.00736 |
| Opus 5 | $0.00012 | $0.00368 |
| Sonnet 5 | $0.00005 | $0.00147 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
you-get 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 5d 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.
What it actually says
you-get 网页媒体下载助手
技能概述
本技能帮助用户从Web下载媒体内容（视频、音频、图片），支持以下场景：
- 视频下载: 从YouTube、Bilibili、优酷等网站下载视频
- 音频下载: 从SoundCloud、网易云音乐等下载音频
- 图片下载: 从Tumblr、Instagram等下载图片
- 在线观看: 使用本地播放器观看在线视频（无广告）
支持网站: YouTube, Twitter, Bilibili, 优酷, 爱奇艺, Instagram, Tumblr, SoundCloud 等 80+ 网站
使用流程
AI 助手将引导你完成以下步骤：
- 安装 you-get（如未安装）
- 查看可下载的视频质量
- 选择格式并下载
- 验证下载结果
关键章节导航
AI 助手能力
当你向 AI 描述下载需求时，AI 会：
- 自动识别网址支持的网站
- 查看所有可用的视频质量和格式
- 执行下载命令并监控进度
- 处理下载失败并提供替代方案
- 支持断点续传和批量下载
- 提取视频字幕和元数据
核心功能
- ✅ 支持 80+ 主流视频/音频网站
- ✅ 自动选择最佳质量下载
- ✅ 支持指定格式和分辨率
- ✅ 支持断点续传
- ✅ 支持代理下载
- ✅ 支持在线播放
- ✅ 自动下载字幕
- ✅ 支持cookies登录下载
快速示例
# 下载YouTube视频
you-get 'https://www.youtube.com/watch?v=jNQXAC9IVRw'
# 查看可用格式
you-get -i 'https://www.youtube.com/watch?v=jNQXAC9IVRw'
# 指定格式下载
you-get --itag=18 'https://www.youtube.com/watch?v=jNQXAC9IVRw'
# 使用代理
you-get -x 127.0.0.1:8087 'https://www.youtube.com/watch?v=jNQXAC9IVRw'
安装要求
- Python 3.7.4 或更高版本
- FFmpeg 1.0 或更高版本（用于视频合并）
- （可选）RTMPDump（用于RTMP流）
许可证
MIT License
项目链接
What ships with it
5 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.
- 5d ago First seen · 95 lines · 24 tokens per session scan A 82ece93938d5
you-get is a skill published in the GitHub repository CN-big-cabbage/github-skill-distiller (4 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 736 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
inferring-a-spell-from-examples
Use when the user invokes /capture-this-chat or /build-spell --from-transcript. Reads a transcript and produces a context dictionary plus a draft SKILL.md, which hands off to building-a-spell at Stage 2.
intuitive-interviewing
Use when conducting any interview-style flow with a user (building a spell, refining one, gathering requirements). Picks depth, filters questions by relevance, matches against known shapes, and detects mid-stream pivots.
building-a-subagent-spell
Use when the meta-builder routes to kind=subagent. Generates a spell that dispatches one or more subagents to do work in parallel or in isolation.
building-a-workflow-spell
Use when the meta-builder routes to kind=workflow. Generates a workflow spell with explicit stages, checkpoints, and loop-back conditions.
chaining-spells
Use when composing multiple spells into a chain that runs end-to-end (e.g. brainstorm -> plan -> execute -> verify).
discovering-spells
Use when browsing what spells are available - bundled seeds, your personal library, or both. Filter by kind, audience, or update status.