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tiktok-android抖音安卓

Agent Skill

tiktok-android 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

59,897

周安装

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GitHub Stars

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下载量

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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-android(抖音安卓)
来源仓库:https://github.com/mladjan/tiktok-android
安装命令:
openclaw skills install tiktok-android
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-android

简介

使用 ADB 在 Android 上自动化 TikTok 互动。搜索主题,使用 AI 或模板进行评论,包括设置向导。用于 TikTok 自动化活动并通过战略评论建立社交影响力。

SKILL.md

name
tiktok-android-bot
description
Automate TikTok engagement on Android using ADB. Search topics, comment with AI or templates, includes setup wizard. Use for TikTok automation campaigns and building social presence through strategic commenting.

TikTok Android Bot

Automate TikTok engagement on Android using ADB. No web scraping, no CAPTCHA, 100% success rate.

What It Does

  • Interactive Setup - Wizard guides first-time configuration
  • Two Comment Modes - Static templates (fast) or AI-generated (smart)
  • Two Operation Modes - Search specific topics or explore For You feed
  • Duplicate Prevention - Never comments twice on same video
  • Flexible Configuration - User defines topics and comment style

Prerequisites

  • Android device with USB debugging enabled
  • ADB (Android Debug Bridge) installed
  • TikTok app logged in on device
  • Python 3.9+
  • USB cable

First-Time Setup

The skill includes an interactive setup wizard that runs automatically:

python3 tiktok_bot.py search --topics fitness --videos 5

Or run setup manually:

python3 setup.py

The wizard asks:

  1. Topics - What to engage with (e.g., "fitness,cooking,travel")
  2. Comment Style:

- Static - Predefined templates (fast, free, no API) - AI - Claude/GPT Vision analyzes videos (smart, ~$0.01-0.05/comment)

  1. Configuration:

- Static: Enter 6-8 comment variations per topic - AI: Choose provider (Anthropic/OpenAI/OpenRouter) + API key

Setup saves to config.py and .env (both gitignored).

Usage

Search Mode - Target Specific Topics

Search for topics and comment on related videos:

# Single topic, 5 videos
python3 tiktok_bot.py search --topics fitness --videos 5

# Multiple topics, 3 videos each  
python3 tiktok_bot.py search --topics "fitness,cooking,travel" --videos 3

# Specify device (optional)
python3 tiktok_bot.py search --topics gaming --videos 5 --device 001431538002547

Flow:

  1. Searches each topic
  2. Opens videos from search results grid (2x2 layout)
  3. Generates comment (AI analyzes or uses template)
  4. Posts comment
  5. Returns to search results for next video

Explore Mode - For You Feed

Comment on random videos from For You feed:

# Comment on 10 random videos
python3 tiktok_bot.py explore --videos 10

Flow:

  1. Starts on For You feed
  2. Analyzes current video (if AI) or uses generic comment
  3. Posts comment
  4. Scrolls to next video

Comment Styles

Static Templates

Fast, reliable, no API costs. User provides 6-8 variations per topic.

Example config:

COMMENT_STYLE = "static"

COMMENTS_BY_TOPIC = {
    "fitness": [
        "That form looks perfect! What's your workout routine?",
        "Impressive progress! How long training?",
        # ... more variations
    ]
}

AI-Generated

Claude Vision or GPT-4 Vision analyzes video screenshots and generates contextual comments.

Example config:

COMMENT_STYLE = "ai"
AI_PROVIDER = "anthropic"
AI_MODEL = "claude-3-5-sonnet-20241022"

API key in .env:

ANTHROPIC_API_KEY=sk-ant-...

Cost: $0.01-0.05 per comment depending on provider.

Configuration Files

After setup, you'll have:

  • config.py - Topics, comment style, templates/AI settings
  • .env - API key (if AI mode)
  • .bot_settings.json - Preferences

All gitignored by default.

Device Setup

Enable USB Debugging

Settings → About Phone → Tap "Build Number" 7 times
Settings → Developer Options → Enable "USB Debugging"

Connect device via USB and authorize computer.

Verify Connection

adb devices
# Should show: <device_id>  device

adb shell wm size
# Note screen resolution (e.g., 1080x2392)

Troubleshooting

"No Android device found"

adb kill-server
adb start-server
adb devices

Re-authorize on device if needed.

Search icon tap misses

Coordinates are optimized for 1080x2392 screens. For different sizes:

  1. Take screenshot: adb shell screencap -p /sdcard/screen.png && adb pull /sdcard/screen.png
  2. Find search icon pixel location (top-right)
  3. Update in src/bot/android/tiktok_navigation.py:
   search_icon_x = 995  # Your X
   search_icon_y = 205  # Your Y

See references/COORDINATES.md for detailed coordinate guide.

AI generation fails

Check:

  1. API key in .env file
  2. API key is valid and has credits
  3. Model name is correct
  4. Falls back to generic comments automatically

Post button not working

Ensure keyboard is dismissed before tapping Post. The bot does this automatically with KEYCODE_BACK.

Performance

Timing

  • Static mode: ~25 seconds per video
  • AI mode: ~30 seconds per video (adds 5s for analysis)
  • Full search session (5 videos): 2-2.5 minutes
  • Explore session (10 videos): 4-5 minutes

Success Rate

  • 100% with working coordinates
  • 0% if tap coordinates miss targets

Cost (AI Mode)

  • Claude Vision: $0.01-0.02 per comment
  • GPT-4 Vision: $0.02-0.05 per comment
  • 100 comments: $1-5

Best Practices

Comment Quality

Good:

  • Specific observations or questions
  • 10-25 words
  • Genuine enthusiasm
  • No emojis (sounds more real)

Bad:

  • Generic praise ("nice video!")
  • Spam or self-promotion
  • Too short ("first!")
  • Low-value ("🔥🔥🔥")

Rate Limits

  • 25-30 comments/day max per account
  • Space sessions: Once daily, vary times
  • Take breaks: Skip 1-2 days per week
  • Monitor: Watch for shadowban signs

Account Safety

  • Age accounts: 7+ days before automating
  • Manual activity first: Like, follow, browse naturally
  • Vary behavior: Different topics, times, comment styles
  • Start small: Test with 3-5 videos first

Advanced

Scheduling with OpenClaw Cron

openclaw cron add \
  --name "Daily TikTok" \
  --schedule "0 10 * * *" \
  --tz "Your/Timezone" \
  --payload '{"kind":"agentTurn","message":"cd /path/to/skill && python3 tiktok_bot.py search --topics fitness,gaming --videos 5"}'

Custom AI Prompt

Edit config.py:

AI_COMMENT_PROMPT = """
Analyze this video and generate a comment.
Topic: {topic}

Your custom guidelines here...
- Be enthusiastic
- Ask specific questions
- Reference visible elements
"""

Multiple Devices

Set ANDROID_DEVICE_ID environment variable:

ANDROID_DEVICE_ID=device1 python3 tiktok_bot.py search --topics fitness --videos 5

Or use --device flag:

python3 tiktok_bot.py search --topics fitness --videos 5 --device device1

Files Included

tiktok-android-bot/
├── SKILL.md                    # This file
├── README.md                   # Comprehensive docs
├── setup.py                    # Interactive setup wizard
├── tiktok_bot.py              # Main script (CLI)
├── config.example.py          # Example configuration
├── requirements.txt           # Python dependencies
├── scripts/
│   ├── run_full_campaign.py   # Legacy: 25-video campaign
│   └── run_complete_session.py # Legacy: 3-video session
├── src/
│   ├── bot/android/
│   │   ├── tiktok_android_bot.py    # Core automation
│   │   └── tiktok_navigation.py     # Navigation flows
│   ├── ai_comments.py         # AI comment generation
│   └── logger.py              # Logging utility
└── references/
    └── COORDINATES.md         # Tap coordinate guide

Requirements

loguru>=0.7.0
anthropic>=0.18.0  # If using AI mode
openai>=1.12.0     # If using AI mode

ADB must be installed and in PATH.

License

MIT - Use responsibly. Automated commenting may violate TikTok's ToS.

See Also

  • README.md - Full documentation
  • references/COORDINATES.md - Coordinate customization guide
  • Main repository: https://github.com/mladjan/androidSkill

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

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

85.08%
按下载量换算15,997

安全审计

VirusTotal

通过

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通过

Static analysis

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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