# TheThreeDog/Auto-Lianliankan

基于python图像识别实现的连连看外挂，可实现QQ连连看秒破

Repository: https://github.com/TheThreeDog/Auto-Lianliankan
Canonical: https://ross.abutalabs.com/products/auto-lianliankan
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2020-10-14T04:25:10+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": 3096, "days_push": 2149, "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 1189, forks 290 (observed 2026-08-28T04:03:55.485366+00:00)

## What it is
A Python-based game cheat (bot) for the Lianliankan (matching tile) puzzle game that uses OpenCV image recognition to read the game board from the screen. It solves the board algorithmically and sends simulated mouse clicks via the Windows API to clear pairs automatically.

## Use cases
- automatically solve Lianliankan puzzles
- learn screen-capture based image recognition with OpenCV
- learn to simulate mouse input with the Windows API
- study how game bots read and interact with game UIs
- automate repetitive tile-matching gameplay

## When to choose
- you want a working example of screen-scraping plus input automation in Python
- you are studying how vision-driven game bots are built
- you play the bundled Lianliankan game and want to automate it

## When to avoid
- you need a supported or fair way to play the game
- you target commercial online games where cheating violates terms of service
- you need cross-platform support beyond Windows

## Facets
- artifact type: application
- maturity: maintenance
- function: computer-vision, image-processing, workflow-automation, game
- domain: computer-vision, gaming-tools
- platform: windows, python
- tags: game-cheat, lianliankan, screen-capture, opencv, game-bot, automation

## Member repositories
- TheThreeDog/Auto-Lianliankan (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:55.485366+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 2026-08-30T06:23:07.394446+00:00, confidence not recorded.
  - readme: https://github.com/TheThreeDog/Auto-Lianliankan (fetched 2026-08-28T04:03:55.485366+00:00, sha 56a4dfb28f2f)
- Data as of 2026-08-30T08:39:29.467469+00:00.