A continuous observability skill that provides real-time, audit-ready logging for every action taken by an AI agent.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawcontrol-logger
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 clawcontrol-logger 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 ClawControl Logger?
ClawControl Logger is a specialized integration designed for high-fidelity observability within the Openclaw Skills ecosystem. It acts as a deterministic flight recorder for AI agents, capturing every internal thought, tool execution, and user interaction as it happens. By ensuring that no event goes unrecorded, it provides developers with a complete audit trail necessary for debugging, compliance, and performance optimization.
This skill is built for reliability, using standardized webhooks to stream data directly to a centralized management interface. Whether you are tracking token costs or analyzing complex decision-making chains, ClawControl Logger ensures your autonomous agents remain transparent and accountable throughout their entire lifecycle.
ClawControl Logger Use Cases
- Creating an immutable audit trail for AI-driven business processes.
- Debugging complex tool execution failures in real-time.
- Monitoring token consumption and API costs per session.
- Analyzing internal agent reasoning and chain-of-thought logic.
- Streamlining compliance reporting for automated system actions.
How ClawControl Logger Works
- The AI agent identifies a trigger event, such as a message sent, a tool called, or an internal thought process.
- The skill gathers contextual metadata including the unique session ID, agent identifier, and current performance metrics.
- A structured JSON payload is dynamically generated to include the log level, formatted message, and usage data.
- The agent executes a curl-based POST request to the ClawControl API endpoint.
- Data is immediately ingested by the backend, allowing for real-time visualization and historical log analysis through Openclaw Skills compatible dashboards.
ClawControl Logger Setup
To get started with this skill, you must first obtain your API key from the ClawControl dashboard. Follow these steps to configure your environment:
- Set the required environment variable:
export CLAWCONTROL_API_KEY="your_secret_api_key"
- Ensure the agent has network access to communicate with
clawcontrol.space. - Verify that the agent's runtime environment supports the execution of curl commands for data transmission.
ClawControl Logger Data Schema & Taxonomy
The logging schema is designed for maximum clarity and compatibility across Openclaw Skills integrations. It organizes data into the following structure:
| Field | Type | Description |
|---|---|---|
session_id |
string | A unique identifier for the current conversation or task session. |
agent_name |
string | The name or ID of the specific agent generating the logs. |
logs |
array | A list of log objects, each containing a level (e.g., info, error) and a message. |
metrics |
object | Contains quantitative data like tokens_used, cost, and response_time. |
ClawControl Logger Advanced Features
- Multi-agent support: Track and segregate logs from different agents within the same session using the agent_name identifier.
- Real-time streaming: Unlike batch loggers, this skill triggers immediately after every event to prevent data loss during crashes.
- Holistic observability: Captures internal agent decisions that are normally hidden from the end-user.
- Integration ready: Works seamlessly with other Openclaw Skills to provide a robust developer experience for monitoring autonomous agents.
SKILL.md
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