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hinge-liker铰链喜欢者

Agent Skill

hinge-liker 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

17,347

周安装

695

GitHub Stars

公开资料未说明

下载量

5,616
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hinge-liker(铰链喜欢者)
来源仓库:https://github.com/mattttman/hinge-liker
安装命令:
openclaw skills install hinge-liker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install hinge-liker

简介

hinge-liker 用于查找、检索和筛选相关信息,适合快速定位候选结果。

  • 适用于研究检索类任务,支持基于关键词或场景进行信息筛选。
  • 通过 clawhub 安装,命令为 openclaw skills install hinge-liker。
  • 安装前建议确认权限范围、维护状态及是否涉及联网或命令执行。
  • 当前顶部介绍与底部简介功能一致,但底部提供更具体的自动约会资料喜欢功能。

SKILL.md

name
hinge-liker
description
Automated Hinge dating profile liker using Android emulator + Gemini vision AI. Scrolls through full profiles, analyzes attractiveness with AI, likes the best photo/prompt with witty comments, skips others. Sends a detailed text report after each session. Use when asked to run Hinge likes, set up Hinge automation, check Hinge status, or manage daily dating app swiping.

Hinge Auto-Liker

Automates Hinge swiping on an Android emulator. Uses Gemini vision to evaluate profiles, pick the best photo/prompt, and send witty comments.

Requirements

  • Android emulator (AVD) with Hinge installed and logged in
  • adb in PATH
  • GEMINI_API_KEY environment variable (Gemini 2.5 Flash recommended)
  • Python 3.8+
  • Java (for Android emulator)

Setup (First Time)

  1. Install Android command line tools (via Homebrew: brew install --cask android-commandlinetools)
  2. Create an AVD: avdmanager create avd -n HingePhone -k "system-images;android-34;google_apis;arm64-v8a" -d pixel_6
  3. Boot the emulator with a window, install Hinge from Play Store, and log in manually
  4. Set GEMINI_API_KEY in environment

Running

# Set environment
export PATH="<android-tools-path>/platform-tools:<android-tools-path>/emulator:$PATH"
export GEMINI_API_KEY="your-key-here"

# Boot emulator (windowed for video, add -no-window for headless)
emulator -avd HingePhone -no-audio -no-metrics -gpu swiftshader_indirect &

# Wait for boot
adb wait-for-device
while [ "$(adb shell getprop sys.boot_completed 2>/dev/null | tr -d '\
')" != "1" ]; do sleep 2; done

# Launch Hinge
adb shell am start -a android.intent.action.MAIN -n co.hinge.app/.ui.AppActivity
sleep 10

# Optional: start screen recording
adb shell screenrecord --time-limit 300 /sdcard/hinge_session.mp4 &

# Run the liker
python3 scripts/hinge_android.py --likes 8 --user-desc "a 25yo tech guy in SF who's fit and active"

# Pull recording + kill emulator
adb shell pkill -INT screenrecord; sleep 3
adb pull /sdcard/hinge_session.mp4 ./recordings/session.mp4
adb emu kill

Script Options

FlagDefaultDescription
--likes8Max likes per session
--adbadbPath to adb binary
--user-descgenericDescription of the user for AI matching

Environment Variables

VariableRequiredDescription
GEMINI_API_KEYYesGoogle Gemini API key
GEMINI_MODELNoModel name (default: gemini-2.5-flash)
ADB_PATHNoFull path to adb binary
HINGE_WORK_DIRNoWorking directory for screenshots/logs

Output

The script prints a session report to stdout with:

  • Total profiles seen, liked, skipped
  • For each profile: who they are, why it liked/skipped, the comment sent, which content was liked

JSON logs are saved to logs/ directory.

Scheduling as a Daily Cron

Set up via OpenClaw cron for daily automated runs. Key notes:

  • Hardcode GEMINI_API_KEY in the cron payload — cron shells don't source ~/.zshrc
  • Use am start to launch Hinge, not monkey (more reliable)
  • Compress videos before sending via iMessage (16MB limit): ffmpeg -i input.mp4 -vcodec libx264 -crf 28 -preset fast -vf scale=720:-2 output.mp4

After Each Session

Send the user a text report including:

  1. How many profiles seen / liked / skipped
  2. For each liked profile: who she is, why the AI liked her, what comment was sent
  3. For each skipped profile: brief reason why
  4. Any errors (paywall, API failures, etc.)
  5. Video recording if available (compressed for messaging)

Troubleshooting

  • Paywall/out of likes: Free likes reset ~24h after last batch. Schedule runs accordingly.
  • Gemini empty responses: Increase maxOutputTokens, check API key/quota.
  • Can't find buttons: Hinge UI changes periodically — check find_all_hearts() and find_skip_button() patterns.
  • Emulator crashes: Check disk space (df -h), try -gpu swiftshader_indirect.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90.95%
按下载量换算5,108

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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