A

AgentLens Social Connector

VERIFIED

by community

No community reviews yet
144,126,000installs
Updated Aug 2026

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Description

Official AgentLens skill for retrieving public social media links through the AgentLens API, summarizing and interpreting the returned content/media, and saving the result to a user-confirmed knowledge base when the AI agent has the required capability. Use when the user shares a TikTok, Instagram,

Install AgentLens Social Connector

Run this in your OpenClaw agent to add AgentLens Social Connector from the ClawHub registry.

terminal
$openclaw skills install agentlens-social-connector

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

Security Analysis

危险50/100

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 AgentLens Social Connector safe to install?

AgentLens Social Connector has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does AgentLens Social Connector cost?

AgentLens Social Connector is free to install for OpenClaw via ClawHub.

What are the best alternatives to AgentLens Social Connector?

You can compare AgentLens Social Connector side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install AgentLens Social Connector?

Install AgentLens Social Connector from ClawHub at clawhub.ai/skills/agentlens-social-connector, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6120.00 / 5.00
Installs144,126,000
Last UpdateAug 2, 2026
Actively maintained (6d 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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