Ross ROSS = Recommend OSS · open-source software intelligence for agents

burningcl/wechat_jump_hack

腾讯微信跳一跳破解(目前最高19844分) observed · 2026-08-28

github.com/burningcl/wechat_jump_hack · Java · Apache-2.0 (permissive) 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: 3165
  • days_rel: n/a
  • days_push: 974
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1053 stars · 286 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Java-based bot that automatically plays WeChat's 'Jump Jump' (跳一跳) mini-game by capturing screenshots via ADB, recognizing player and target positions with image analysis, and simulating taps to achieve very high scores. It runs on a connected Android phone controlled from a desktop Java environment.

Use cases

  • automatically play wechat jump jump game
  • bot to cheat at tencent jump game
  • adb based game automation for android
  • image recognition to detect game positions
  • get high score in wechat tiaoyitiao

When to choose

  • you want to automate the WeChat Jump Jump game on a rooted/developer-mode Android phone
  • you want a Java reference implementation of ADB-driven screen recognition and input simulation
  • you want to study how a simple computer-vision game bot works

When to avoid

  • you need a maintained tool - the game and WeChat anti-cheat have changed since 2018 and scores may be rejected
  • you want a polished, configurable product rather than messy hack-day code with hardcoded parameters
  • your device resolution differs significantly from 1080p and you cannot tune the coefficients
  • you cannot enable USB debugging with simulated input on your phone

Facets

application · maturity abandoned

computer-vision workflow-automation game gaming-tools computer-vision jvm cli wechat game-bot adb screen-recognition cheat-bot automation android

1 source

Member repositories

RepositoryRoleHealth v2
burningcl/wechat_jump_hackmain32

For agents

markdown · JSON · MCP: product_card(name="burningcl/wechat_jump_hack")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem