Borrowing it
Nothing to install: this file belongs to cacity/VideoHub. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cacity/VideoHub/main/.agents/skills/videohub-douyin/SKILL.mdgit clone --depth 1 https://github.com/cacity/VideoHubWrote 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/cacity/videohub/videohub-douyin)<a href="https://agentmods.dev/skills/cacity/videohub/videohub-douyin"><img src="https://agentmods.dev/badge/skills/cacity/videohub/videohub-douyin/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/cacity/videohub/videohub-douyin"><img src="https://agentmods.dev/badge/skills/cacity/videohub/videohub-douyin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.00396 |
| Opus 5.5 | $0.00019 | $0.00158 |
| Sonnet 5.5 | $0.00009 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
videohub-douyin 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 2mo 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
VideoHub Douyin Download
复用 F:/work/VideoHub/src/douyin_cli.py。
适用场景
- 下载单个抖音视频
- 下载用户主页作品
- 处理分享文本中的抖音链接
- 指定下载目录
常用命令
python src/douyin_cli.py "https://v.douyin.com/xxxxx/"
python src/douyin_cli.py "https://www.douyin.com/video/xxxxx" -o "workspace/douyin_downloads"
python src/douyin_cli.py "https://www.douyin.com/user/xxxxx" --cookie "your_cookie" --limit 3
前置条件
- 单视频优先使用
f2,解析失败或依赖不可用时自动回退 DLPanda;不再需要本地 douyinVd 服务。 - DLPanda 只用于公开单视频链接回退,绝不能向它转发用户的抖音 Cookie。
- 用户主页批量下载需要有效 Cookie 和可用的
f2环境。 - 当前 CLI 默认保存视频和封面,不保存 JSON 元数据,不下载音乐。
注意
- 用户主页批量下载已有入口,但失败原因可能是 Cookie 缺失/失效、
f2缺失、主页不可访问或解析不到作品;不要在未实际运行前承诺一定可下载。 - 若用户给的是分享口令文本,先提取出 URL 再调用 CLI。
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.
- 2mo ago Changed · +1 lines d3ced800cd59
- 2mo ago First seen · 32 lines · 47 tokens per session scan A 3641669b7bef
videohub-douyin is a skill published in the GitHub repository cacity/VideoHub (183 stars, last pushed 3d ago), licensed MIT. It adds 47 tokens to every session and 396 once invoked, about $0.0002 per session on Opus 5.5. 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.
videohub-douyin compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| videohub-douyincacity/VideoHub | Skill | 183 | 3d ago | MIT | A | 47 | Claude Code |
| qiaomu-cutjoeseesun/qiaomu-cut-skill | Skill | 378 | 24d ago | MIT | B | 218 | Codex |
| frontend-designOrkas-AI/Orkas-VideoStudio | Skill | 344 | 2d ago | MIT | A | 57 | Claude Code, Codex |
| stage-planOrkas-AI/Orkas-VideoStudio | Skill | 344 | 2d ago | MIT | A | 0 | Claude Code, Codex |
| gate-controlOrkas-AI/Orkas-VideoStudio | Skill | 344 | 2d ago | MIT | A | 81 | Claude Code, Codex |
| stage-editOrkas-AI/Orkas-VideoStudio | Skill | 344 | 2d ago | MIT | A | 62 | Claude Code, Codex |
| stage-consistencyOrkas-AI/Orkas-VideoStudio | Skill | 344 | 2d ago | MIT | A | 92 | Claude Code, Codex |