A versatile command-line utility for logging, tracking, and managing time-related entries with built-in search and export capabilities.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stopwatch
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 stopwatch using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Stopwatch is a robust, lightweight utility toolkit designed for developers who need to log and manage time-related data directly from the terminal. As a specialized component of Openclaw Skills, it provides a file-based logging system that records timestamped entries for various activities ranging from performance analysis to task tracking. By leveraging standard POSIX utilities, Stopwatch offers a high-performance alternative to heavy GUI time-trackers, ensuring your data remains local, portable, and easily accessible.
The tool is built to support complex workflows by categorizing logs into specific domains such as runs, checks, conversions, and reports. Whether you are monitoring system processes or manual work intervals, this utility ensures that every action is documented with precision, making it an essential addition to any developer's Openclaw Skills collection.
Stopwatch is designed for immediate use on Linux and macOS systems with Bash 4.0+ installed. Follow these steps to get started:
# Move the script to your local bin and make it executable
chmod +x stopwatch
# (Optional) Define a custom storage location
export STOPWATCH_DIR="~/.local/share/stopwatch/"
# Verify the installation
stopwatch version
All information is stored locally in the user's home directory to maintain privacy and speed. The data is organized in a flat-file taxonomy:
| File Name | Data Description |
|---|---|
| history.log | The master archive of every entry logged by any command. |
| run.log | Dedicated log for execution and runtime entries. |
| analyze.log | Records specifically related to performance analysis and metrics. |
| export.json/csv | Structured data output generated for external tool integration. |
Each entry within these logs uses the pipe-delimited format: YYYY-MM-DD HH:MM|input_string.
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