# lendylongli/qianghongbao

微信抢红包外挂源码

Repository: https://github.com/lendylongli/qianghongbao
Canonical: https://ross.abutalabs.com/products/qianghongbao
Language: Java
License Family: other
Last push: 2017-03-01T12:27:15+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": 4212, "days_push": 3472, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2236, forks 971 (observed 2026-08-28T04:06:29.404003+00:00)

## What it is
An open-source Android app that automatically grabs WeChat red packets (hongbao) using Android's AccessibilityService to detect notifications and simulate taps. It was written as an educational demo of AccessibilityService capabilities and has not been updated since 2017.

## Use cases
- automatically grab WeChat red envelopes
- learn how Android AccessibilityService works
- example of UI automation on Android
- study how to monitor notifications and simulate clicks
- reference for building Android accessibility-based tools

## When to choose
- you want to study AccessibilityService-based UI automation in Java
- you need a reference implementation of notification monitoring and simulated clicks on Android

## When to avoid
- you want a maintained red packet grabber for current WeChat versions
- you need production software - it is unmaintained since 2017 and may violate WeChat's terms of service
- you need a project with a license permitting reuse

## Facets
- artifact type: application
- maturity: abandoned
- function: workflow-automation
- domain: android-tools, messaging-platforms
- platform: jvm
- tags: accessibility-service, wechat, red-packet, ui-automation, android-app, automation, android

## Member repositories
- lendylongli/qianghongbao (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:29.404003+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 2026-08-30T02:44:17.501525+00:00, confidence not recorded.
  - readme: https://github.com/lendylongli/qianghongbao (fetched 2026-08-28T04:06:29.404003+00:00, sha ac7ca245beb3)
- Data as of 2026-08-30T08:39:29.467469+00:00.