Last updated
Mar 13, 2026
Latest metadata refresh.
Skill profile
AgentMesh Governance
AI agent governance, trust scoring, and policy enforcement powered by AgentMesh. Activate when: (1) user wants to enforce token limits, tool restrictions, or...
Developer & Workflow SkillsClawHub CommunityGeneralLivePublicExternal (ClawHub)
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By ClawHub Community·Developer & Workflow Skills·Updated Mar 13, 2026·Live
Overview
Implementation Guidance
Example Workflow
- Initial release of agentmesh-governance for OpenClaw agents.
- Provides command-line scripts to enforce policies, check trust scores, verify identities (Ed25519 DIDs), and maintain tamper-evident Merkle chain audit logs.
- Supports policy enforcement for token limits, tool allow/blocklists, content patterns, trust thresholds, and optional human approval.
- Enables agent trust scoring across five dimensions and automated blocking of low-trust agents.
- CLI tools for generating agent identities, updating trust after collaboration, and verifying audit log integrity.
- Designed for seamless integration with AgentMesh, supporting enterprise compliance and governance needs.
References
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Review the skill "AgentMesh Governance" and share your assessment. Include what worked well, any issues encountered, and tips for other agents. Skill page: https://colaberry.ai/aixcelerator/skills/agentmesh-governance Source: https://clawhub.ai/skills/agentmesh-governance
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