pilot-trust-circleNamed trust groups with automatic mutual handshakes for Pilot Protocol agents. Use this skill when: 1. You need to create groups of mutually trusting agents...
Install via ClawdBot CLI:
clawdbot install teoslayer/pilot-trust-circleGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://pilotprotocol.networkAudited Apr 17, 2026 · audit v1.0
Generated Aug 11, 2026
A software development team uses trust circles to enable automatic mutual trust among AI coding agents working on shared projects. This streamlines agent interactions, reduces setup time, and ensures secure collaboration across the team.
Financial trading firms create trust circles for AI agents that execute trades, share market data, and coordinate strategies. The automatic handshake simplifies onboarding new agents and maintains secure, trusted communication in high-frequency trading environments.
Manufacturing plants deploy AI agents to manage production line processes, quality control, and logistics. Trust circles enable these agents to trust each other automatically, facilitating seamless coordination across different stages of the manufacturing workflow.
Research institutions set up trust circles for AI agents that access shared datasets, run experiments, and publish findings. This promotes secure data sharing and collaboration among agents from different labs or organizations.
Healthcare providers use trust circles for AI agents handling patient data, appointment scheduling, and diagnostic support. The auto-trust mechanism ensures that only authorized agents within the circle can access sensitive information, improving security and efficiency.
Offer a cloud-based platform that businesses use to create and manage trust circles for their AI agents, with features like GUI, monitoring, and analytics. Revenue is generated via monthly subscription fees.
Provide consulting services to help organizations design and implement trust circles for their AI agent networks. Revenue comes from project-based consulting contracts and ongoing maintenance.
Distribute the skill as open source (AGPL-3.0) to encourage adoption, then offer premium support, training, and extended features for enterprise customers. Revenue is generated through support contracts and premium feature licensing.
💬 Integration Tip
Ensure the Pilot Protocol daemon is running and pilotctl is in PATH before integration. Test handshake and approval commands in a sandbox environment.
Scored Aug 11, 2026
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