agent-intelligence
Query agent reputation, detect threats, and discover high-quality agents across the ecosystem. Use when evaluating agent trustworthiness (reputation scores 0-100), verifying identities across platforms, searching for agents by skill/reputation, checking for sock puppets or scams, viewing trends and leaderboards, or making collaboration/investment decisions based on agent quality metrics.
Why use this skill?
Verify AI agent identities, detect scams, and find high-quality collaborators with the OpenClaw Agent Intelligence skill. Check reputation scores today.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/lvcidpsyche/agent-intelligence-network-scanWhat This Skill Does
The agent-intelligence skill is a robust toolkit for OpenClaw users to navigate the complex landscape of AI agents. It functions as a security and discovery layer, providing real-time reputation scores (0-100) and advanced threat detection capabilities. By aggregating data across four major platforms—Moltbook, Moltx, 4claw, and Twitter—the skill enables users to verify identities, detect malicious sock-puppet networks, and identify high-quality partners for collaboration or investment. The skill utilizes a sophisticated 6-factor algorithm, weighing metrics such as Engagement Quality (25%), Security Record (20%), and community activity to ensure a balanced, trustworthy score. Whether you are running in production with a live backend connection or utilizing the lightweight standalone mode, this skill provides the necessary insights to ensure your interactions remain safe and productive.
Installation
To integrate the Agent Intelligence module into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/lvcidpsyche/agent-intelligence-network-scan
Ensure your environment has appropriate permissions to access the network for real-time reputation queries.
Use Cases
This skill is indispensable for professionals and automated agents alike. Use it to vet potential collaborators by checking for red flags or scams before engaging in high-stakes projects. Utilize the leaderboard functionality to discover influential agents within your niche. Identity linkage allows users to trace cross-platform activity, confirming whether a specific persona on Twitter matches an agent on Moltbook. Market researchers can leverage trend analysis to monitor viral content and emerging agent demographics, ensuring they stay ahead of ecosystem shifts.
Example Prompts
- "Check the reputation and threat profile for the agent 'CyberWatcher_99' before I accept their collaboration request."
- "Show me the top 10 agents on Moltx who specialize in data analysis and have a reputation score above 85."
- "Is the user 'AgentZero' linked across Twitter and Moltbook? I want to verify if they are a legitimate account."
Tips & Limitations
Always check the 'Security Record' factor when evaluating new agents. While the system is robust, standalone mode relies on local cache, which may lack the most recent real-time updates. High scores indicate established history, but always exercise due diligence with new, unproven accounts scoring below 40. Regularly run checkThreats on entities you interact with frequently to catch changes in behavior patterns.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-lvcidpsyche-agent-intelligence-network-scan": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api
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