A sophisticated log monitoring and pattern recognition engine designed to extract meaningful insights from noisy system data in real-time.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install log-tail-sr
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-tail-sr 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 LogTail Smart Log Monitor & Analyzer?
LogTail Smart Log Monitor & Analyzer is a high-performance utility within the Openclaw Skills library designed to solve the problem of log fatigue. By providing real-time tailing with intelligent filtering, it allows developers and system administrators to suppress mundane system noise while automatically surfacing critical errors and performance bottlenecks.
Built to be format-agnostic, this skill processes JSON, plaintext, and syslog formats with ease. It goes beyond simple tailing by incorporating anomaly detection and pattern recognition, enabling users to correlate error spikes with specific system events like backup jobs or deployment windows.
LogTail Smart Log Monitor & Analyzer Use Cases
- Real-time production monitoring to identify and alert on fatal system errors immediately.
- Noise reduction in high-volume debug environments by filtering out health checks and routine logs.
- Post-incident forensic analysis to find patterns and correlations between disparate log files.
- Performance auditing by tracking error rates and warning frequencies over specific time periods.
How LogTail Smart Log Monitor & Analyzer Works
- The user initializes the LogTail engine by specifying the target log files and defining filter criteria.
- The engine attaches watchers to the files, streaming new entries into a processing pipeline.
- Log entries pass through a filtering layer where ignore patterns are removed and highlight patterns are flagged.
- The system continuously analyzes entry frequency to detect anomalies, such as an error rate exceeding 3x the baseline.
- Upon request or trigger, the skill generates a summarized report containing top errors and detected behavioral patterns.
LogTail Smart Log Monitor & Analyzer Setup
To integrate this into your environment, install the package and initialize it within your Node.js project:
npm install @openclaw/log-tail
Configure the watcher as follows:
const { LogTail } = require('./src/log-tail');
const tail = new LogTail({
files: ['./logs/app.log'],
filters: {
ignore: ['DEBUG'],
highlight: ['ERROR']
}
});
LogTail Smart Log Monitor & Analyzer Data Schema & Taxonomy
LogTail organizes data by processing raw log lines into structured entry objects for easy consumption.
| Property | Type | Description |
|---|---|---|
timestamp |
ISO-8601 | The exact time the log entry was recorded |
severity |
String | Extracted level (e.g., error, warning, info) |
message |
String | The core log message content |
source |
String | The file path or system origin of the log |
LogTail Smart Log Monitor & Analyzer Advanced Features
- Multi-file synchronization for monitoring complex microservices architectures simultaneously.
- Automated anomaly detection that alerts when error rates deviate from historical norms.
- Intelligent pattern correlation to identify links between error spikes and specific time intervals.
- Custom severity mapping to support non-standard or legacy log formats within the Openclaw Skills framework.
SKILL.md
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