Prinsphield/Wechat_AutoJump
AI plays WeChat Jump Game observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3168
- days_rel: n/a
- days_push: 2477
- n_releases_24m: 0
Adoption not part of the score
1280 stars · 408 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python bot that automatically plays the WeChat 'Jump Jump' mini-game using computer vision and a CNN coarse-to-fine model to locate the player and target. It controls an Android or iOS phone over USB via adb or WebDriverAgent to time presses.
Use cases
- automatically play the WeChat jump game on my phone
- bot that plays tiaoyitiao for high scores
- use a CNN to detect game character and target positions
- learn how to build a phone game bot with opencv and tensorflow
- automate taps on an android game via adb
When to avoid
- you need a maintained tool - the project has not been updated since 2019
- you want to automate games other than WeChat Jump
- you need a solution that works without a USB-connected phone
Facets
application · maturity abandoned
computer-vision machine-learning deep-learning image-processing gaming-tools computer-vision deep-learning python wechat jump-game game-bot cnn adb screen-capture game-automation automation android ios macos
1 source
- readme: https://github.com/Prinsphield/Wechat_AutoJump · fetched 2026-08-28 · c928390e35ba
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Prinsphield/Wechat_AutoJump | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Prinsphield/Wechat_AutoJump")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem