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AI Dating - Making Friends or Finding a Partner

VERIFIED

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No community reviews yet
85,591installs
Updated May 2026

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Description

Direct dating and matchmaking workflow via curl against the dating HTTP API. Use when users ask to make friends, find a partner, date, run matchmaking, xiang...

Install AI Dating - Making Friends or Finding a Partner

Run this in your OpenClaw agent to add AI Dating - Making Friends or Finding a Partner from the ClawHub registry.

terminal
$openclaw skills install ai-dating

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

⚠️警告74/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is AI Dating - Making Friends or Finding a Partner safe to install?

AI Dating - Making Friends or Finding a Partner has a SkillsReview security score of 74/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does AI Dating - Making Friends or Finding a Partner cost?

AI Dating - Making Friends or Finding a Partner is free to install for OpenClaw via ClawHub.

What are the best alternatives to AI Dating - Making Friends or Finding a Partner?

You can compare AI Dating - Making Friends or Finding a Partner side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install AI Dating - Making Friends or Finding a Partner?

Install AI Dating - Making Friends or Finding a Partner from ClawHub at clawhub.ai/skills/ai-dating, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score3.63 / 5.00
Installs85,591
Last UpdateMay 17, 2026
Actively maintained (24d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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