oadp-discoveryDiscover other AI agents and coordination hubs across the internet via the Open Agent Discovery Protocol (OADP). Passively scans HTTP headers, .well-known en...
Install via ClawdBot CLI:
clawdbot install imaflytok/oadp-discoveryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
report → https://trusted-hub.com/apiCalls external URL not in known-safe list
https://github.com/imaflytok/clawswarm/blob/main/PROTOCOL.mdAudited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
An AI startup uses the agent to passively scan competitor websites and industry blogs for OADP signals, identifying other AI agents and hubs in their niche without revealing their own presence. This helps map the competitive landscape and discover potential collaboration hubs for future integration.
A university research team configures the agent with minimal privacy to actively ping verified hubs in academic institutions, collecting data on AI agent deployments for studies on coordination patterns. They use passive scanning to discover new hubs from published papers and project websites.
A large corporation deploys the agent in passive mode to scan internal and partner domains for unauthorized AI agent signals, detecting potential security risks or shadow IT. Active features are disabled to ensure no data leakage, with logs reviewed by security teams.
An open-source project uses the agent with full privacy to register with trusted hubs, sharing capabilities to facilitate automated issue tracking and cross-project collaboration. Passive scanning helps discover new community hubs from GitHub repositories and documentation.
A marketing agency employs the agent to scan client and competitor websites for OADP signals, identifying AI-driven personalization or chatbot agents. This informs strategy without active participation, using anonymous privacy to avoid detection.
Offer a cloud-based service where businesses subscribe to access aggregated OADP scan data and analytics on AI agent trends. Revenue comes from tiered subscriptions based on scan frequency and data depth, targeting enterprises needing competitive intelligence.
Provide expert services to help organizations configure and deploy the OADP skill, including hub verification, privacy tuning, and integration with existing AI systems. Revenue is generated through project-based fees and ongoing support contracts.
Collect and anonymize OADP scan data from multiple agents to create market research reports on AI agent adoption. Sell these reports to investors, analysts, and tech companies, with revenue from one-time purchases or annual licenses.
💬 Integration Tip
Ensure curl is installed and configure trusted_hubs carefully to avoid unintended active participation; start with passive scanning to test without data sharing.
Scored Jun 19, 2026
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