A local-first profiling toolkit for tracking HTTP request timings, memory usage, and database query performance via the command line.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install web-profiler-bundle
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 web-profiler-bundle using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Web Profiler Bundle is a comprehensive utility designed for developers who need deep visibility into their application performance without the overhead of external SaaS platforms. As a featured addition to the Openclaw Skills ecosystem, it provides a robust set of commands to log, analyze, and compare profiling data locally, ensuring your performance metrics remain private and easily accessible.
The tool focuses on providing high-fidelity breakdowns of request lifecycles, including middleware overhead and N+1 query detection. By integrating seamlessly into your existing developer workflow, it allows for rapid debugging of slow routes and optimization of resource-heavy endpoints using standard Unix utilities and a Python-based runtime.
To get started with this component of your Openclaw Skills library, ensure you have Python 3 and Bash 4.0+ installed.
# The bundle automatically initializes its data directory on first run
web-profiler-bundle help
# Run your first profiling log
web-profiler-bundle run "GET /api/v1/users - 200ms, 12MB"
All data is managed locally to ensure privacy and speed. The schema follows a consistent timestamped format:
| File | Description |
|---|---|
run.log |
Primary logs for HTTP request profiling sessions. |
analyze.log |
Records of query breakdowns and memory analysis. |
history.log |
A master record of every command executed via the bundle. |
config.log |
History of configuration changes and environment settings. |
Format: YYYY-MM-DD HH:MM|value
Loading
An automated Git commit analysis agent that verifies if code changes actually resolve specific bug reports or requirements.

A specialized tool for tracking lab equipment calibration dates and generating automated maintenance reminders.

A specialized comparison tool for AI agents to analyze drift between JSON queue snapshots and detect operational regressions.

A comprehensive system for registering, documenting, and managing function-calling tools within the PydanticAI framework.

A professional AI music assistant that transforms natural language descriptions into multi-track, standard MIDI files for production and performance.

A comprehensive voice interaction skill that adds high-accuracy speech recognition and natural speech synthesis to AI agents within the Feishu ecosystem.








































