---

name: agentmesh-governance description: > AI agent governance, trust scoring, and policy enforcement powered by AgentMesh. Activate when: (1) user wants to enforce token limits, tool restrictions, or content policies on agent actions, (2) checking an agent's trust score before delegation or collaboration, (3) verifying agent identity with Ed25519 cryptographic DIDs, (4) auditing agent actions with tamper-evident Merkle chain logs, (5) user asks about agent safety, governance, compliance, or trust. Enterprise-grade: 1,600+ tests, merged into Dify (65K★), LlamaIndex (47K★), Microsoft Agent-Lightning (15K★). version: 1.0.0 metadata: openclaw: requires: bins:

• python3

• pip

emoji: "🛡️" homepage: https://github.com/imran-siddique/agentmesh-integrations/tree/master/openclaw-skill

---

AgentMesh Governance — Trust & Policy for OpenClaw Agents

Zero-trust governance layer for OpenClaw agents. Enforce policies, verify identities, score trust, and maintain tamper-evident audit logs — all from your agent's command line.

Setup

Install the AgentMesh governance CLI: ``bash pip install agentmesh-governance `

If agentmesh-governance is not yet on PyPI, install directly from source:

`bash

pip install "agentmesh @ git+https://github.com/imran-siddique/agent-mesh.git"

`

Scripts

All scripts are in scripts/. They wrap the governance engine and output JSON results.

Check Policy Compliance

Evaluate an action against a governance policy before execution: `bash scripts/check-policy.sh --action "web_search" --tokens 1500 --policy policy.yaml ` Returns JSON with allowed: true/false, any violations, and recommendations. Use this before executing any tool call to enforce limits.

Get Trust Score

Check an agent's current trust score (0.0 – 1.0): `bash scripts/trust-score.sh --agent "research-agent" ` Returns the composite trust score with breakdown across 5 dimensions: policy compliance, resource efficiency, output quality, security posture, collaboration health.

Verify Agent Identity

Verify an agent's Ed25519 cryptographic identity before trusting its output: `bash scripts/verify-identity.sh --did "did:agentmesh:abc123" --message "hello" --signature "base64sig" ` Returns verified: true/false. Use when receiving data from another agent.

Record Interaction

Update trust scores after collaborating with another agent: `bash scripts/record-interaction.sh --agent "writer-agent" --outcome success scripts/record-interaction.sh --agent "writer-agent" --outcome failure --severity 0.1 ` Success adds +0.01 to trust score. Failure subtracts the severity value. Agents dropping below the minimum threshold (default 0.5) are auto-blocked.

Audit Log

View tamper-evident audit trail with Merkle chain verification: `bash scripts/audit-log.sh --last 20 scripts/audit-log.sh --agent "research-agent" --verify ` The --verify flag checks Merkle chain integrity — any tampering is detected.

Generate Identity

Create a new Ed25519 cryptographic identity (DID) for your agent: `bash scripts/generate-identity.sh --name "my-agent" --capabilities "search,summarize,write" ` Returns your agent's DID, public key, and capability manifest.

Policy File Format

Create a policy.yaml to define governance rules: `yaml name: production-policy max_tokens: 4096 max_tool_calls: 10 allowed_tools:

• web_search

• file_read

• summarize

blocked_tools:

• shell_exec

• file_delete

blocked_patterns:

• "rm -rf"

• "DROP TABLE"

• "BEGIN CERTIFICATE"

confidence_threshold: 0.7 require_human_approval: false `

When to Use This Skill

• Before tool execution: Run check-policy.sh to enforce limits

• Before trusting another agent's output: Run verify-identity.sh

• After collaboration: Run record-interaction.sh to update trust

• Before delegation: Check trust-score.sh — don't delegate to agents below 0.5

• For compliance: Run audit-log.sh --verify to prove execution integrity

• On setup: Run generate-identity.sh to create your agent's DID

What It Enforces

| Policy | Description | |--------|-------------| | Token limits | Cap per-action and per-session token usage | | Tool allowlists | Only explicitly permitted tools can execute | | Tool blocklists | Dangerous tools are blocked regardless | | Content patterns | Block regex patterns (secrets, destructive commands, PII) | | Trust thresholds | Minimum trust score required for delegation | | Human approval | Gate critical actions behind human confirmation |

Architecture

This skill bridges the OpenClaw agent runtime with the AgentMesh governance engine: ` OpenClaw Agent → SKILL.md scripts → AgentMesh Engine ├── GovernancePolicy (enforcement) ├── TrustEngine (5-dimension scoring) ├── AgentIdentity (Ed25519 DIDs) └── MerkleAuditChain (tamper-evident logs) `` Part of the Agent Ecosystem: AgentMesh · Agent OS · Agent SRE