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Governance behavior for AI agents governed by DashClaw. Teaches the governance protocol: when to call guard (risk thresholds), how to interpret decisions (allow/warn/block/require_approval), when to record actions, how to wait for approvals, and session lifecycle management. Loads org-specific policies and capabilities from MCP resources at session start. Use with @dashclaw/mcp-server. Trigger on: governed agent, dashclaw governance, guard policy, approval wait, governed capability, risk threshold, action recording, session lifecycle.
Set up a DashClaw instance, install the CLI tool, and configure Claude Code hooks
Debug DashClaw errors, signal issues, and misconfigurations
基于 SOC 职业分类
正在显示 SKILL.md
| name | create-policies |
| description | Create and test DashClaw guard policies for agent governance |
| license | MIT |
| metadata | {"author":"ucsandman","version":"1.0.0","category":"configuration"} |
Help developers define, import, and test guard policies that control what agents can and cannot do.
| Type | Purpose | Example |
|---|---|---|
risk_threshold | Block/warn when risk score exceeds limit | Block actions with risk > 80 |
action_type_restriction | Allow/deny specific action types | Block security actions without approval |
approval_gate | Require human approval for matching actions | Require approval for deploys |
webhook_check | Call external endpoint for policy decision | Check Jira ticket status before deploy |
semantic_guardrail | LLM-based content analysis | Block PII in action metadata |
off — No policy enforcement (development only)warn — Log policy violations but allow executionenforce — Block policy violations (production recommended)name: high-risk-blocker
type: risk_threshold
mode: enforce
conditions:
risk_score_min: 80
reversible: false
action: block
reason: "Irreversible actions with risk >= 80 require manual execution"
name: no-unattended-deploys
type: action_type_restriction
mode: enforce
conditions:
action_types:
- deploy
- database
action: require_approval
reason: "Deploy and database actions require human approval"
name: production-approval-gate
type: approval_gate
mode: enforce
conditions:
systems_touched:
- production
risk_score_min: 50
action: require_approval
reason: "Production access with risk >= 50 requires approval"
name: cost-ceiling
type: risk_threshold
mode: enforce
conditions:
cost_estimate_max: 100.00
action: block
reason: "Actions exceeding $100 estimated cost are blocked"
name: no-secrets-in-metadata
type: semantic_guardrail
mode: enforce
conditions:
scan_fields:
- declared_goal
- output_summary
patterns:
- "password"
- "api_key"
- "secret"
action: block
reason: "Sensitive data detected in action metadata"
// POST /api/policies
const response = await fetch(`${baseUrl}/api/policies`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'x-api-key': process.env.DASHCLAW_API_KEY
},
body: JSON.stringify({
name: 'high-risk-blocker',
type: 'risk_threshold',
mode: 'enforce',
conditions: { risk_score_min: 80, reversible: false },
action: 'block',
reason: 'Irreversible high-risk actions are blocked'
})
});
import { DashClaw } from 'dashclaw/legacy';
const claw = new DashClaw({ baseUrl, apiKey, agentId });
// Import a preset pack
await claw.importPolicies({ pack: 'enterprise-strict' });
// Available packs: enterprise-strict, smb-safe, startup-growth, development
// POST /api/policies/test
const result = await fetch(`${baseUrl}/api/policies/test`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'x-api-key': process.env.DASHCLAW_API_KEY
},
body: JSON.stringify({
action_type: 'deploy',
risk_score: 85,
reversible: false,
systems_touched: ['production']
})
});
// Response: which policies would trigger and what decisions they'd produce
const results = await claw.testPolicies();
// Returns pass/fail for each policy with explanation
const report = await claw.getProofReport({ format: 'md' });
// Generates compliance-ready report showing all policies and their test results
# Permissive — warn only, don't block
- name: dev-risk-warning
type: risk_threshold
mode: warn
conditions: { risk_score_min: 50 }
action: warn
reason: "High risk action detected (dev mode — not blocked)"
# Strict — enforce everything
- name: prod-risk-gate
type: risk_threshold
mode: enforce
conditions: { risk_score_min: 70 }
action: require_approval
- name: prod-deploy-gate
type: action_type_restriction
mode: enforce
conditions: { action_types: [deploy, database, security] }
action: require_approval
- name: prod-irreversible-block
type: risk_threshold
mode: enforce
conditions: { risk_score_min: 90, reversible: false }
action: block
Policies can be scoped to specific agents or apply org-wide:
{
"name": "deploy-agent-only",
"agent_id": "deploy-agent-1",
"type": "approval_gate",
"conditions": { "action_types": ["deploy"] },
"action": "require_approval"
}
If agent_id is omitted, the policy applies to all agents in the org.
# GET /api/policies
curl -H "x-api-key: $DASHCLAW_API_KEY" $DASHCLAW_BASE_URL/api/policies
Response includes all active policies with their type, mode, conditions, and scope.