log-analyzer

What This Skill Does

The log-analyzer is a powerful utility within the OpenClaw ecosystem designed to streamline the process of parsing, searching, and interpreting application logs. It bridges the gap between raw, unstructured text files and structured data, enabling users to quickly isolate critical events across diverse formats. Whether you are dealing with standard plain-text logs, JSON-formatted streams, or complex multi-line stack traces, this skill provides a unified interface to query and extract actionable insights. By leveraging battle-tested tools like grep, awk, and jq, it transforms logs into a readable debugging format, allowing for rapid identification of bottlenecks, correlation of request flows, and pattern recognition in high-volume environments.

Installation

To integrate this tool into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/gitgoodordietrying/log-analyzer

Use Cases

• Production Troubleshooting: Quickly filter through thousands of lines to find 'error' or 'fatal' tags during a system outage.
• System Observability: Extract performance metrics, such as request latency, from unstructured logs to identify performance regressions.
• Audit Trails: Search by specific correlation or request IDs to trace the life cycle of a transaction across microservices.
• Log Normalization: Parse mixed-format logs that contain both plain text and structured JSON entries into a clean, searchable stream.
• Error Reporting: Automatically aggregate error types to generate high-level summaries for post-mortem analysis.

Example Prompts

1. "Analyze app.log to find the top 10 most frequent error messages occurring in the last hour."
2. "Extract all JSON log entries from the log directory where the user ID is 'user-987' and print them as a tab-separated list."
3. "Filter the access.log for all 5xx HTTP status codes and list the request paths and timestamps associated with them."

Tips & Limitations

• Performance: For massive log files, try to use tail or head to restrict the search range before processing with jq or awk to save memory.
• Timezones: Always verify if your logs are in UTC or local time, as ISO timestamp comparisons require consistent formatting to work accurately.
• Security: Be cautious when running this skill on logs containing PII (Personally Identifiable Information). Ensure you have appropriate redaction policies in place before analyzing production-sensitive data.
• Format Consistency: While the tool handles mixed formats, it works best when the target log files maintain a somewhat consistent structure for extraction logic.