A high-performance AI agent skill designed for live system querying, API mapping, and comprehensive environment governance within the DashClaw platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dashclaw-platform-intelligence
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install dashclaw-platform-intelligence using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is DashClaw Platform Intelligence?
DashClaw Platform Intelligence is an essential AI agent capability engineered to act as an on-demand system expert, integration assistant, and governance supervisor. By leveraging this tool, developers can query live environment states, API routes, environment configurations, and database schemas dynamically. It acts as an authoritative source of truth for complex environments running under the DashClaw framework.
Integrating this skill through Openclaw Skills empowers teams to manage 226 active API routes, orchestrate over 89 database tables, and track hundreds of environment variables. The skill features a resilient multi-layered querying hierarchy, running live command-line tools where accessible, falling back to secure REST API endpoints, or using static snapshot files if offline. This makes it an incredibly robust operational helper for developers maintaining complex agentic platforms.
DashClaw Platform Intelligence Use Cases
- Live API Route Mapping: Instantly fetch, analyze, and diagnose 226 active endpoints across 57 distinct categories to ensure proper integration connectivity.
- Database Schema Auditing: Maintain exact visibility over 89 database tables managed by Drizzle ORM, ensuring table structures and relation mappings align with code expectations.
- Real-Time Configuration Checking: Detect drift in environment variables and identify missing values among 4 required and 137 optional environmental configuration parameters.
- Automated Platform Troubleshooting: Use the native doctor endpoint to inspect system health dynamically when troubleshooting offline or running within Openclaw Skills integrations.
How DashClaw Platform Intelligence Works
- Trigger Query: The user or autonomous workflow requests system details, database schemas, or API status information.
- Execute Live Check: The skill attempts to run live CLI diagnostics via the Python livingcode wrapper (
python -m livingcode query). - Initiate Secondary Fallback: If CLI tools or repository checkouts are unreachable, the skill issues a secure REST API request to the
GET {baseUrl}/api/doctorendpoint using workspace API keys. - Static Parsing Fallback: When network access is offline, the skill reads generated physical schema maps like
shape.jsonor parses the embedded static SKILL.md snapshots. - Return Actionable Payload: The analyzed results are formatted as clean, structured telemetry JSON to guide developers, debug workflows, or coordinate other Openclaw Skills.
DashClaw Platform Intelligence Setup
To install and configure this platform intelligence capability within your Openclaw Skills workspace, use the following procedures:
Ensure you have the required environment variables defined in your system:
export DASHCLAW_API_KEY='your_api_key_here'
export DATABASE_URL='postgresql://user:password@localhost:5432/db'
export ENCRYPTION_KEY='your_secure_encryption_key'
export NEXTAUTH_SECRET='your_auth_secret'
Generate and refresh the static platform snapshot mapping using the livingcode tool:
# Generate the SKILL.md file dynamically
python -m livingcode emit skill --output path/to/SKILL.md
# Run a local drift check against the snapshot
python -m livingcode diff
DashClaw Platform Intelligence Data Schema & Taxonomy
The platform intelligence skill provides access to structured environment metadata, configurations, and internal databases. It maps key settings and endpoints dynamically to support structured data exchange inside Openclaw Skills.
Primary Event Schemas
| Realtime Event Constant | Hook String | Description |
|---|---|---|
ACTION_COST_EXCEEDED |
action.cost_exceeded |
Triggers when model spend crosses preset limits |
GUARD_DECISION_CREATED |
guard.decision.created |
Logs guardrail evaluation decisions |
SIGNAL_DETECTED |
signal.detected |
Emits custom alert types such as drift or mcp degradation |
Core Database Tables Map
The database layers consist of 89 distinct tables defined using Drizzle ORM. Key tables include:
- Execution Logs:
action_records,activity_logs,session_events - Agent Frameworks:
agent_connections,agent_identities,agent_presence - Governance Controls:
guard_policies,governed_secrets,compliance_snapshots
DashClaw Platform Intelligence Advanced Features
- Multi-Channel Native Alerts: Automatically dispatch platform status changes, mcp failures, and budget violations directly to Discord, GitHub, Slack, Linear, or custom SMTP servers.
- Durable Drift Detection: Check system drift instantly using
python -m livingcode diffto verify if runtime schemas match local code definitions. - Sensitive Parameter Auto-Encryption: Configure external API integrations (OpenAI, Anthropic, Supabase, Twilio) securely with automatically encrypted-at-rest settings database records.
- Automated Health Sweeps: Configure cron actions like outcome sweeps, memory maintenance, and reset meters for ongoing system self-healing inside Openclaw Skills workspaces.
SKILL.md
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