social-auto-upload is an automation tool for uploading and scheduling videos across social media platforms including Douyin, Bilibili, Xiaohongshu, TikTok, and YouTube. Content creators and operators use it for repeatable multi-platform publishing, while its catalogue skills expose these upload workflows to coding agents.
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 dreammis/social-auto-upload --skill xueqiu-uploadgit clone --depth 1 https://github.com/dreammis/social-auto-uploadWrote 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/dreammis/social-auto-upload/xueqiu-upload)<a href="https://agentmods.dev/skills/dreammis/social-auto-upload/xueqiu-upload"><img src="https://agentmods.dev/badge/skills/dreammis/social-auto-upload/xueqiu-upload/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/dreammis/social-auto-upload/xueqiu-upload"><img src="https://agentmods.dev/badge/skills/dreammis/social-auto-upload/xueqiu-upload.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00067 | $0.01121 |
| Opus 5.5 | $0.00027 | $0.00448 |
| Sonnet 5.5 | $0.00013 | $0.00224 |
| Haiku 4.5 | $0.00007 | $0.00112 |
Grade A, and why
xueqiu-upload 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
雪球长文
使用仓库现有 sau xueqiu，不另写网页上传实现。先检查 sau xueqiu upload-article --help。Windows 未加入 PATH 时在仓库根目录使用 .\.venv\Scripts\sau.exe。完整输入及结果说明见 雪球使用说明。
账号及输入
- 已有账号执行
sau xueqiu check --account <别名>。首次使用执行sau xueqiu login --account <别名> --expected-name "用户指定昵称"，在打开的 Chrome 中登录。程序保存会话并绑定真实用户 ID；不要把账号密码写进命令或源码。Codex 内置浏览器的登录不会自动生成 CLI 会话文件。 - 必须提供非空单行
--title、UTF-8 HTML/Markdown/TXT--content-file和与实际创作方式相符的--declaration。声明选择不添加创作声明或本文包含AI生成内容，不要替用户猜测。 --visibility为公开或私人，默认公开。正文图片通过 HTML 的img或 Markdown 图片写在原稿对应位置，相对路径基于原稿目录；没有--images文末追加参数。独立封面用--cover，采用平台默认裁剪。图片接受本地 GIF/JPEG/PNG，不接受远端或 data URL。- 雪球各级标题统一为平台小标题，保留段落、加粗、斜体、链接；列表转换为带编号或圆点的段落。自定义 CSS 不保证保留。表格、代码块等未验证结构在创建远端草稿前报错。Markdown 首次使用需运行
sau article setup，详见使用说明。
草稿和发表
sau xueqiu upload-article --account <别名> --title "用户标题" --content-file "文章.md" --cover "封面.png" --visibility 私人 --declaration "本文包含AI生成内容"
命令默认实际发表。仅检查草稿和预览时显式增加 --prepare-only；雪球会自动保存远端草稿，重复运行可能创建多份草稿。编辑器若已有内容会拒绝覆盖。无需独立封面时省略 --cover。
优先使用 Markdown 原稿；带本地段间配图的完整示例见 examples/xueqiu_article.md。首次使用先执行 sau article setup。
正式 CLI 已实测原生结构、两张不同的段间图片、独立封面、私人发表及后台原作品查询。沿用用户的操作范围；开发或登录授权本身不等于授权发表测试内容。
没有定时参数：本次账号的完整长文表单未观察到定时功能。Word、自定义裁剪、视频、股票/话题/@关联对象尚未支持，不用普通文字冒充关联对象。
判断结果与中断处理
保留命令输出的结果 JSON 路径和截图。prepared 仅表示准备完成；published 表示平台最终受理并通过主体、标题、分享范围及正文核对。management_verified: true 表示后台原 ID 查询也通过。私人作品显示“仅自己可见”。
若记录为 submission_unknown，执行 sau xueqiu verify --account <别名> --result "本次结果文件.json"，按已保存的原作品 ID 只读查询，并用原稿重查后台正文和图片。保留发表时的原稿、图片及路径，内容改变会报错；旧版缺少原稿路径的成功结果仅核查作品身份和分享范围。没有 ID 时进入“内容管理”按标题、账号及时间核查。未查明前不要重跑上传或再次点击发布，避免重复作品。
默认使用可见 Chrome，--headless 为显式选项；本机无头访问曾被平台拦截。网络超时、403 或主体不一致应保留具体错误，不据此断言 Cookie 失效。--debug 保存失败截图。
示例脚本
scripts/examples/ 下的文件是复制用示例，不是运行时依赖。执行前先查看当前 CLI 的 --help，替换账号、素材和正文；这些命令可能创建真实作品。
xueqiu_commands.ps1：PowerShellxueqiu_commands.sh：Bashxueqiu_cli_template.py：Python subprocess
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.
- today First seen · 46 lines · 67 tokens per session scan A d82f53a998e2
xueqiu-upload is a skill published in the GitHub repository dreammis/social-auto-upload (15,697 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 1,121 once invoked, about $0.0003 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 2026-10-22.
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