agentmesh-governance

What This Skill Does

AgentMesh Governance is a professional-grade zero-trust layer designed to bring enterprise security, policy enforcement, and cryptographic identity verification to OpenClaw agents. It serves as a centralized governance engine that monitors agent behaviors, evaluates trust scores based on historical performance, and ensures that all agent actions comply with predefined safety and resource usage policies. By utilizing Ed25519 cryptographic DIDs (Decentralized Identifiers) and tamper-evident Merkle chain logs, this skill allows users to maintain full visibility and control over complex multi-agent workflows. It is engineered to integrate seamlessly into existing AI infrastructure, providing a robust framework for managing agent collaboration in sensitive or high-stakes environments.

Installation

To install this skill, run the following command in your terminal:

clawhub install openclaw/skills/skills/imran-siddique/agentmesh-governance

Additionally, ensure the governance engine is active in your environment by installing the dependencies:

pip install agentmesh-governance

Use Cases

1. Policy Enforcement: Dynamically restrict agent actions, such as limiting token usage or blocking specific tool calls, based on live YAML policies.
2. Agent Vetting: Before delegating a task to another agent, check its composite trust score to ensure it has a history of reliable and secure performance.
3. Identity Verification: Authenticate incoming data streams from third-party agents using cryptographic signature verification to prevent spoofing.
4. Audit Logging: Create a tamper-proof record of agent interactions for compliance reporting and post-incident investigation.

Example Prompts

1. "Check the current trust score for the research-agent before I authorize it to access the production database."
2. "Enforce a strict policy on the output of this agent; verify it against policy.yaml and block any web_search tools that exceed 500 tokens."
3. "Verify the identity of the incoming agent with DID did:agentmesh:789xyz and the provided cryptographic signature before allowing it to write to the log file."

Tips & Limitations

• Proactive Auditing: Always run the check-policy.sh script prior to executing tool calls to prevent unintended side effects.
• Performance: While the governance layer is efficient, frequent cryptographic verification on high-throughput systems may introduce slight latency.
• Trust Scores: Remember that trust scores are dynamic and update based on outcomes; ensure your agents are properly reporting interaction results to maintain an accurate reputation map.