A streamlined utility for extracting, filtering, and reformatting timestamped log entries from raw text using custom date ranges.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install logclip
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 logclip 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 LogClip?
LogClip is a specialized tool within the Openclaw Skills ecosystem designed for developers who need to navigate through dense or unstructured log files. It solves the common problem of manual log scouring by providing a programmable way to isolate events based on specific timeframes. By integrating this skill, users can quickly transform chaotic raw text into organized, filtered data suitable for analysis or reporting.
This utility is particularly effective when dealing with mixed log sources where timestamps may vary or where only a specific window of time is relevant for troubleshooting. As one of the versatile Openclaw Skills, it bridges the gap between raw data collection and actionable intelligence by offering flexible input methods and custom formatting options.
LogClip Use Cases
- Isolating error logs from a specific production deployment window to identify root causes.
- Normalizing different log timestamp formats into a consistent standard for centralized documentation.
- Extracting daily activity summaries from massive server logs using shell pipelines.
- Filtering unstructured text files to find chronological entries without manual searching.
How LogClip Works
- The user initiates the tool by providing a start and end date range as primary arguments.
- LogClip accepts data via standard input (stdin) for real-time piping or targets a specific file using the input flag.
- The skill utilizes a regex-based parser to identify timestamp patterns within the provided text.
- Each log entry is validated against the specified date range filter.
- Matches are reformatted according to the user's preference and printed to the console or redirected to a new file.
LogClip Setup
To start using this utility as part of your Openclaw Skills collection, ensure you have a Python environment ready. Download the script and execute it directly from your terminal.
# Basic installation check
python logclip.py --help
# Example: Filter a log file for a specific date range
python logclip.py "2023-10-01" "2023-10-05" -i system.log
LogClip Data Schema & Taxonomy
LogClip handles data dynamically based on the input structure provided. It maps logs according to the following schema:
| Parameter | Type | Description |
|---|---|---|
| Start Date | String | The beginning of the temporal filter (YYYY-MM-DD). |
| End Date | String | The conclusion of the temporal filter (YYYY-MM-DD). |
| Input File (-i) | Path | Optional file path for log processing. |
| Format (-f) | String | strftime-compliant pattern for timestamp reformatting. |
| Regex (-r) | String | Custom regular expression to match unique timestamp structures. |
LogClip Advanced Features
- Support for custom regular expressions to parse virtually any timestamp format in Openclaw Skills.
- Flexible timestamp reformatting using standard strftime syntax for improved readability.
- Pipe-friendly architecture allowing integration with grep, awk, and other Unix utilities.
- Capability to process high-volume log data from stdin without intermediate file storage.
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