A comprehensive toolkit for parsing, searching, and debugging application logs across multiple formats, including plain text and structured JSON.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install log-analyzer
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 log-analyzer 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 Log Analyzer?
Log Analyzer is a professional-grade suite of patterns and scripts designed to streamline the debugging process within the ecosystem of Openclaw Skills. It addresses the complexity of modern distributed systems by providing high-performance methods to filter, aggregate, and interpret log data from various sources. By leveraging standard Unix utilities and specialized scripts, this skill enables developers to transform raw, noisy log files into actionable insights.
Whether you are troubleshooting a production outage or optimizing request latency, Log Analyzer simplifies the workflow for Openclaw Skills users. It supports a wide range of formats, from legacy Apache access logs to modern structured JSON output from Node.js or Python services, ensuring that you can maintain observability across your entire stack with minimal overhead.
Log Analyzer Use Cases
- Debugging application errors and exceptions from large-scale log files
- Searching and tracing specific request IDs or correlation IDs across microservices
- Parsing and deduplicating complex stack traces for Java, Python, and Node.js
- Monitoring application health in real time during development or deployment
- Generating automated error frequency reports and status code distribution summaries
How Log Analyzer Works
- Scan the target log files to identify the format, whether it is plain text, pipe-delimited, or structured JSON.
- Apply precise filtering logic using tools like grep for text or jq for JSON to isolate specific error levels or time windows.
- Utilize specialized awk and Python scripts to extract multi-line stack traces and group them by root cause.
- Correlate logs from multiple services by merging and sorting them based on high-precision timestamps.
- Export processed data or reports to identify the most frequent error patterns and performance bottlenecks.
Log Analyzer Setup
To get started with this skill in your Openclaw Skills environment, ensure you have the necessary CLI dependencies installed:
# For Debian/Ubuntu systems
sudo apt update && sudo apt install grep gawk jq python3
# For macOS systems
brew install jq gawk
Once installed, you can immediately begin using the search patterns against your local or remote log directories.
Log Analyzer Data Schema & Taxonomy
Log Analyzer processes diverse data structures and provides organized output based on the following taxonomy:
| Log Type | Common Formats | Key Metadata Fields |
|---|---|---|
| Structured Logs | JSON Lines (jsonl) | timestamp, level, message, requestId, duration |
| Web Access Logs | Nginx / Apache | remote_addr, request_path, status_code, body_bytes_sent |
| Application Logs | Plain Text / Syslog | date, thread_id, log_level, logger_name, message |
| Stack Traces | Multi-line Text | Exception type, file path, line number, call stack |
Log Analyzer Advanced Features
- Multi-service log correlation using unique request or correlation IDs across disparate files
- Automated Python-based traceback parsing that groups unique errors to reduce noise
- Real-time monitoring with terminal bell alerts and color-coded error highlighting
- High-performance sampling for multi-gigabyte files using awk and shuf
- Built-in support for analyzing compressed and rotated log files using zgrep and zcat
SKILL.md
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