A lightweight black box flight recorder and debug console designed to capture the lifecycle, thoughts, and tool calls of autonomous AI systems.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lobsterops
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install lobsterops using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
LobsterOps provides a robust observability layer for developers building with Openclaw Skills. It acts as a dedicated flight recorder, capturing every nuance of an AI agent's execution, from internal thought processes and decision-making logic to tool interactions and lifecycle transitions. By providing a structured way to log and query agent activity, it transforms the often opaque nature of autonomous systems into a transparent, debuggable workflow.
The skill is designed with a privacy-first approach, offering local storage options by default and built-in PII filtering. Whether you are troubleshooting a complex loop or auditing agent performance, LobsterOps ensures you have a high-fidelity chronological trace of all activities, making it an essential tool for production-grade AI development.
To integrate this into your environment, ensure you have Node.js installed. Configure your storage preference in the Openclaw Skills configuration directory.
# Standard setup within your workspace
mkdir -p .openclaw/workspace/config
touch .openclaw/workspace/config/lobsterops.json
# If using the SQLite backend, install the driver
npm install sqlite3
Define your configuration in .openclaw/workspace/config/lobsterops.json to enable the logger and specify the data directory.
LobsterOps maintains a structured event log that categorizes agent activity. The default schema includes:
| Field | Type | Description |
|---|---|---|
timestamp |
ISO8601 | The exact time of the event |
event_type |
String | e.g., thought, tool_call, error, spawn |
content |
Object/String | The raw payload or message |
agent_id |
String | Unique identifier for the agent instance |
metadata |
Object | Contextual data such as model used or latency |
Logs are stored by default in the ./agent-logs directory when using the JSON provider.
maxAgeDays to manage disk usage and data compliance automatically.Loading
An automated cost analysis tool that compares API pricing across major LLM providers to recommend the most economical model for your specific workflow.

A comprehensive Python-based integration for MiniMax multimodal APIs providing speech, voice cloning, image, video, and music generation.

A professional-grade tool for calculating trading expectancy, Polymarket edges, and arbitrage boundaries to ensure every decision has a positive expected value.

A specialized tool for extracting and summarizing public short video performance data and trending topics from the Kuaibao and QQ Kandian platforms.

A professional-grade forensic tool to detect if an image was created by generative AI models like Midjourney or DALL-E.

A diagnostic tool for ecommerce and creator content that converts performance signals into actionable postmortem reviews and repeatable lessons.








































