agentmesh-governance
# 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](https://github.com/imran-siddique/agent-mesh)
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](https://imran-siddique.github.io):
[AgentMesh](https://github.com/imran-siddique/agent-mesh) ·
[Agent OS](https://github.com/imran-siddique/agent-os) ·
[Agent SRE](https://github.com/imran-siddique/agent-sre)
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skill
ai