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- ucsandman/DashClaw
- 최근 소스 활동
- 2026년 6월 8일 08:32
- 감지된 SKILL.md 언어
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소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/ucsandman/DashClaw --skill create-policies명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
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
SOC 직업 분류 기준
SKILL.md 표시 중
| 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.