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Deepsop Bilibili 工作台

Name: Deepsop Bilibili 工作台
Author: kukuoai

作者 kukuoAI · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install deepsop-bilibili-ai

功能描述

Bilibili 视频自动上传 skill。当用户需要登录 Bilibili、校验账号或上传视频时使用。基于 social-auto-upload 项目，OPclaw 自动准备运行环境，无需用户手动安装。

使用说明 (SKILL.md)

\r \r

Bilibili 上传 Skill\r

\r 本 skill 通过 social-auto-upload 项目（以下简称 SAU）完成 Bilibili 操作。OPclaw 自带 uv 工具，会在首次使用时自动 clone SAU 并准备依赖，不要让用户手动 pip install。\r \r

功能概览\r

\r | 功能 | 子命令 | 说明 |\r | --- | --- | --- |\r | 登录 | login --account \x3Cname> | 用户在本机真实终端里执行，扫码完成 |\r | 校验 | check --account \x3Cname> | 检查指定账号当前是否有效 |\r | 视频上传 | upload-video ... | 上传一条 Bilibili 视频 |\r \r

默认工作流\r

先确认环境就绪 —— 见 references/runtime-requirements.md\r
再确认命令格式 —— 见 references/cli-contract.md\r
执行匹配的 python sau_cli.py bilibili ... 命令\r
失败时查 references/troubleshooting.md\r \r

命令选择建议\r

用户没有登录信息 → 让用户自己在本机终端执行 login\r
用户只想确认账号状态 → 用 check\r
用户要发视频 → 用 upload-video\r \r

执行前必做检查（agent 行为约定）\r

\r 执行任何 python sau_cli.py bilibili ... 之前，必须按 references/runtime-requirements.md 的"自动准备流程"完成环境校验：\r \r

检查 ~/.openclaw/social-auto-upload 是否存在\r
不存在则自动 clone + uv sync\r
准备好后，所有调用都用 uv run --project ~/.openclaw/social-auto-upload python sau_cli.py bilibili ...\r
不要直接 sau bilibili ...（这条命令不存在）\r
网络失败时：git clone 直连超时/失败，agent 必须自动用 gh-proxy.org / gh-proxy.com / hub.gitmirror.com 三个镜像依次重试，严禁第一次失败就告诉用户'无法访问 GitHub'。详见 references/runtime-requirements.md Step 2\r
不要要求用户手动下载 biliup（程序首次执行 upload-video 时会自动联网下载）\r \r

登录注意事项\r

login 命令应由用户自己在本机终端执行，agent 在非交互环境下不要硬跑\r
如果终端二维码显示不完整，提醒用户打开仓库目录下的 qrcode.png 扫码\r
一个 --account \x3Cname> 对应一个本地账号文件，可用于多账号隔离\r \r

模板文件\r

scripts/examples/bilibili_commands.ps1\r
scripts/examples/bilibili_commands.sh\r
scripts/examples/bilibili_cli_template.py\r \r

参考文档\r

运行前提：references/runtime-requirements.md\r
CLI 契约：references/cli-contract.md\r
故障排查：references/troubleshooting.md

安全使用建议

Install only if you are comfortable letting the agent clone and run the social-auto-upload project, download dependencies, and operate a Bilibili account from local login state. Before any upload, verify the exact account, video file, title, description, tags, category, schedule, and whether it will publish or draft, and avoid third-party mirror fallback unless you trust those sources.

能力评估

ℹ Purpose & Capability

The stated purpose, Bilibili login checks and video upload via social-auto-upload, matches the documented commands and examples.

⚠ Instruction Scope

The upload workflow can affect a user's public Bilibili account, but the artifacts do not require an explicit final confirmation showing the account, file, title, schedule, and publish action before running upload-video.

⚠ Install Mechanism

First use clones social-auto-upload into ~/.openclaw, runs uv sync, and may automatically retry using Gitee and proxy mirrors without asking the user, which broadens supply-chain trust beyond the canonical GitHub repository.

ℹ Credentials

Creating ~/.openclaw/social-auto-upload, copying conf.py, downloading dependencies, and later downloading biliup are coherent with the purpose but should be treated as local environment changes.

⚠ Persistence & Privilege

Login state is stored in local account files by the upstream tool, and uploaded media/metadata are sent to Bilibili; this is expected for the purpose but not framed with enough user-control safeguards.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install deepsop-bilibili-ai
安装完成后，直接呼叫该 Skill 的名称或使用 /deepsop-bilibili-ai 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

deepsop-bilibili-ai 1.0.0 - Initial release of the Bilibili video auto-upload skill. - Automates login, account validation, and video upload for Bilibili using the social-auto-upload project. - OPclaw handles environment setup automatically; users do not need to manually install dependencies. - Adds robust git clone retry logic using mirror sites if GitHub is inaccessible. - Provides clear workflow, command usage, and troubleshooting documentation.

元数据

Slug deepsop-bilibili-ai

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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