An intelligent log analysis tool that detects anomalies, error trends, and performance issues to ensure system stability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install log-anomaly-detector
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-anomaly-detector 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 Anomaly Detector?
The Log Anomaly Detector is a powerful tool designed to help developers and system administrators maintain robust infrastructure. By integrating this skill, AI agents can autonomously scan through massive log files to identify patterns related to fatal exceptions, security breaches, and performance bottlenecks. It serves as a vital component of the Openclaw Skills ecosystem, enabling proactive system maintenance and rapid incident response.
This skill goes beyond simple keyword matching by analyzing the frequency and timing of errors to detect anomalies that signify deeper systemic issues. Whether you are debugging a complex distributed system or monitoring a single application, this tool provides the necessary visibility to keep your services running smoothly.
Log Anomaly Detector Use Cases
- Detecting recurring ERROR, FATAL, and Exception patterns in application logs.
- Identifying performance bottlenecks such as latency spikes, timeouts, and slow database queries.
- Monitoring for security threats including unauthorized access attempts and potential injection attacks.
- Generating actionable troubleshooting recommendations during post-mortem analysis.
How Log Anomaly Detector Works
- The skill ingests log data through file access or real-time streams.
- It parses the data to extract timestamps, log levels, and message contents.
- Pattern recognition algorithms identify known error types and warning signs.
- Statistical analysis is performed to detect frequency spikes or abnormal time-series behavior.
- The AI agent correlates findings to generate a prioritized list of anomalies and security alerts.
- A structured report is produced, offering specific recommendations for remediation.
Log Anomaly Detector Setup
To use this within your AI agent framework, initialize the skill through your CLI. Ensure your environment is compatible with Openclaw Skills requirements.
# Install the log anomaly detector skill
openclaw install log-anomaly-detector
# Configure the log monitoring path
openclaw config set log_path "/var/log/app.log"
Adjust the sensitivity levels for slow or timeout detection in the configuration settings to match your application's baseline performance.
Log Anomaly Detector Data Schema & Taxonomy
The skill generates a structured output to facilitate automated workflows. The data is organized as follows:
| Key | Description |
|---|---|
| errors | An array of objects containing the specific log line and timestamp of critical failures. |
| warnings | A collection of non-critical but noteworthy events like deprecation notices or memory pressure. |
| anomalies | Detected deviations from normal operating patterns, such as sudden spikes in request volume. |
| recommendations | Natural language suggestions provided by the AI to help resolve the detected issues. |
Log Anomaly Detector Advanced Features
- Real-time log streaming support for continuous system health monitoring.
- Advanced security heuristics for detecting sophisticated attack vectors like SQL injection or brute force.
- Historical trend analysis to differentiate between transient glitches and recurring systemic failures.
- Support for custom regex patterns to handle proprietary or legacy log formats within the Openclaw Skills framework.
SKILL.md
Loading
Related Openclaw Skills
JSON Formatter
A comprehensive utility to prettify, validate, and compress JSON data for better readability and debugging.
Git Flow Helper
An intelligent Git assistant that automates branch management, merging, rebasing, and repository maintenance.
Error Message Decoder
A diagnostic utility that translates cryptic system and runtime error codes into human-readable explanations and specific remediation steps.
Zhipu Web Search
A powerful search integration that enables AI agents to retrieve real-time information and the latest news from the internet using the Zhipu API.
Zhipu Web Search
A high-performance web search integration for AI agents using the Zhipu API to fetch real-time news and information.
Zhipu Web Search (Minimax)
A high-performance web search integration for AI agents utilizing the Zhipu API to retrieve real-time internet data and news.
Featured*
