# Send Hinge Auto-Liker to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "hinge-liker",
    "name": "Hinge Auto-Liker",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/MattttMan/hinge-liker",
    "canonicalUrl": "https://clawhub.ai/MattttMan/hinge-liker",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/hinge-liker",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hinge-liker",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "scripts/hinge_android.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "hinge-liker",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-01T20:28:41.274Z",
      "expiresAt": "2026-05-08T20:28:41.274Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hinge-liker",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hinge-liker",
        "contentDisposition": "attachment; filename=\"hinge-liker-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "hinge-liker"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/hinge-liker"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/hinge-liker",
    "downloadUrl": "https://openagent3.xyz/downloads/hinge-liker",
    "agentUrl": "https://openagent3.xyz/skills/hinge-liker/agent",
    "manifestUrl": "https://openagent3.xyz/skills/hinge-liker/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/hinge-liker/agent.md"
  }
}
```
## Documentation

### 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)

Install Android command line tools (via Homebrew: brew install --cask android-commandlinetools)
Create an AVD: avdmanager create avd -n HingePhone -k "system-images;android-34;google_apis;arm64-v8a" -d pixel_6
Boot the emulator with a window, install Hinge from Play Store, and log in manually
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 '\\r')" != "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

VariableRequiredDescriptionGEMINI_API_KEYYesGoogle Gemini API keyGEMINI_MODELNoModel name (default: gemini-2.5-flash)ADB_PATHNoFull path to adb binaryHINGE_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:

How many profiles seen / liked / skipped
For each liked profile: who she is, why the AI liked her, what comment was sent
For each skipped profile: brief reason why
Any errors (paywall, API failures, etc.)
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.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: MattttMan
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-01T20:28:41.274Z
- Expires at: 2026-05-08T20:28:41.274Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/hinge-liker)
- [Send to Agent page](https://openagent3.xyz/skills/hinge-liker/agent)
- [JSON manifest](https://openagent3.xyz/skills/hinge-liker/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/hinge-liker/agent.md)
- [Download page](https://openagent3.xyz/downloads/hinge-liker)