# burningcl/wechat_jump_hack

腾讯微信跳一跳破解（目前最高19844分）

Repository: https://github.com/burningcl/wechat_jump_hack
Canonical: https://ross.abutalabs.com/products/wechat_jump_hack
Language: Java
License: Apache-2.0
License Family: permissive
Last push: 2024-01-02T12:48:20+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3165, "days_push": 974, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1053, forks 286 (observed 2026-08-28T04:03:23.913555+00:00)

## What it is
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
- artifact type: application
- maturity: abandoned
- function: computer-vision, workflow-automation, game
- domain: gaming-tools, computer-vision
- platform: jvm, cli
- tags: wechat, game-bot, adb, screen-recognition, cheat-bot, automation, android

## Member repositories
- burningcl/wechat_jump_hack (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:23.913555+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:59:20.904112+00:00, confidence not recorded.
  - readme: https://github.com/burningcl/wechat_jump_hack (fetched 2026-08-28T04:03:23.913555+00:00, sha fb0e36c41591)
- Data as of 2026-08-30T08:39:29.467469+00:00.