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tiktok-uploader抖音上传者

Agent Skill

tiktok-uploader 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

56,640

周安装

2,433

GitHub Stars

5

下载量

19,853
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tiktok-uploader(抖音上传者)
来源仓库:https://github.com/xmuweili/tiktok-uploader
安装命令:
openclaw skills install tiktok-uploader
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install tiktok-uploader

简介

批量上传与管理TikTok视频发布任务。

  • 支持定时发布与队列式调度处理。tiktok-uploader 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 减少重复操作提升内容管理效率。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 浏览器自动化可能被平台识别为异常行为。
  • 建议分散上传时间规避风控阈值限制。

SKILL.md

name
tiktok-uploader
description
Upload, schedule, and batch-manage TikTok videos via browser automation. Use when: user wants to upload a video to TikTok, schedule a TikTok post, batch upload multiple TikTok videos, or scan a directory for uploadable videos. NOT for: TikTok analytics, downloading videos, or managing comments/followers.
homepage
https://github.com/wkaisertexas/tiktok-uploader
user-invocable
true
metadata
{"openclaw":{"emoji":"🎬","requires":{"bins":["python3","playwright"],"env":[]},"install":[{"id":"pip","kind":"pip","package":"tiktok-uploader","bins":["tiktok-uploader"],"label":"Install tiktok-uploader (pip)"},{"id":"playwright","kind":"pip","package":"playwright","bins":["playwright"],"label":"Install Playwright"}]}}

TikTok Video Uploader

Upload, schedule, and batch-manage TikTok videos using the tiktok-uploader Python library (Playwright-based browser automation wrapping TikTok's web upload page).

Setup

pip install tiktok-uploader
playwright install

Authentication

The user must provide one of these. Ask if not yet configured:

MethodHow to get it
Cookie file (recommended)Export cookies.txt from browser using the "Get cookies.txt LOCALLY" extension.
Session IDDevTools → Application → Cookies → .tiktok.com → copy sessionid value.
Cookie listList of dicts: [{name, value, domain, path}].

Session cookies expire — if uploads fail with auth errors, the user needs fresh cookies.

Operations

Upload a single video

from tiktok_uploader.upload import TikTokUploader

with TikTokUploader(cookies="cookies.txt", headless=True) as uploader:
    success = uploader.upload_video(
        filename="video.mp4",
        description="Check this out #fyp #viral @friend ",
        visibility="everyone",   # "everyone" | "friends" | "only_you"
        comment=True,
        stitch=True,
        duet=True,
        cover="thumbnail.png",   # optional
    )
    print("Uploaded!" if success else "Failed.")

Schedule a video

from datetime import datetime, timezone

with TikTokUploader(sessionid="abc123...", headless=True) as uploader:
    uploader.upload_video(
        filename="video.mp4",
        description="Dropping soon! #scheduled ",
        schedule=datetime(2026, 3, 10, 14, 30, tzinfo=timezone.utc),
    )

Rules: must be 20 min – 10 days in the future; minutes are rounded to nearest 5.

Batch upload

videos = [
    {"path": "vid1.mp4", "description": "First #batch "},
    {"path": "vid2.mp4", "description": "Second", "schedule": datetime(2026, 3, 10, 15, 0, tzinfo=timezone.utc)},
    {"path": "vid3.mp4", "description": "Third", "visibility": "friends"},
]

with TikTokUploader(cookies="cookies.txt", headless=True) as uploader:
    failed = uploader.upload_videos(videos)
    if failed:
        print(f"{len(failed)} videos failed")

Using the wrapper module

This skill ships a convenience wrapper at scripts/tiktok_manager.py:

from scripts.tiktok_manager import TikTokManager

mgr = TikTokManager(cookies="~/cookies.txt")
# Upload
mgr.upload("video.mp4", description="Hello TikTok! #fyp ")
# Schedule
mgr.upload("video.mp4", description="Scheduled!", schedule="2026-03-10T14:30")
# Batch
mgr.upload_batch([
    {"path": "v1.mp4", "description": "First"},
    {"path": "v2.mp4", "description": "Second", "schedule": "2026-03-10T15:00"},
])
# Scan directory for uploadable videos
videos = TikTokManager.scan_videos("~/Videos/tiktok", recursive=True)

Important Notes

  • Hashtags & @mentions: Include in description, each tag followed by a space. Verify they exist.
  • Description limit: ~150 characters.
  • Rate limiting: TikTok throttles after many uploads. Space them out; wait hours if throttled.
  • Headless mode: Set headless=False to watch the browser for debugging.
  • Proxy: Pass proxy={"host": "...", "port": "..."} — Chrome only.
  • Supported formats: .mp4, .mov, .avi, .wmv, .flv, .webm, .mkv, .m4v, .3gp, .3g2, .gif
  • Fragility: Browser automation, not an official API. TikTok UI changes can break it.

Troubleshooting

ProblemFix
Auth/login errorCookies expired → export fresh cookies.txt
Upload hangsTry headless=False to see what's happening
Throttled/rate limitedWait a few hours between batches
Selector errorstiktok-uploader may need an update (pip install -U tiktok-uploader)

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.88%
按下载量换算15,064

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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