academic-paper-reviewe…
Simulates academic peer review, evaluating papers across Originality, Methodology, Results, and Writing to provide Major/Minor Revision recommendations with…
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze
$ npx -y skills add zebbern/claude-code-guide --skill log-error-digest --agent claude-codeHow it fires
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Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze
name: log-error-digest description: "Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or get distribution stats." license: MIT type: tool tags: [logs, analysis, devops, monitoring]
Automated log file analysis that produces error clustering, frequency statistics, and time distribution reports.
| Format | Description | Auto-detection | |--------|-------------|----------------| | JSON | One JSON object per line with `timestamp`/`level`/`message` fields | Starts with `{` | | syslog | RFC 3164 format, e.g. `Jan 1 12:00:00 host proc[pid]: msg` | Starts with month name | | Nginx | Access log or error log format | Starts with IP or date/path pattern |
python scripts/analyze_logs.py <log_file_path> [options]
| Parameter | Description | Default | |-----------|-------------|---------| | `log_file` | Path to the log file (required) | - | | `--format` | Log format: `auto`/`json`/`syslog`/`nginx` | `auto` | | `--top` | Show Top N error clusters | `20` | | `--output` | Export results to a JSON file | Terminal output only | | `--level` | Filter by log level (e.g. `ERROR`, `WARN`) | All levels | | `--since` | Only analyze logs after this time (ISO format) | No limit | | `--until` | Only analyze logs before this time (ISO format) | No limit |
# Auto-detect format and analyze the entire log file python scripts/analyze_logs.py /var/log/app.log # Specify Nginx format, show only Top 10 errors python scripts/analyze_logs.py /var/log/nginx/error.log --format nginx --top 10 # Filter ERROR level only, export JSON report python scripts/analyze_logs.py app.log --level ERROR --output report.json # Analyze logs within a specific time range python scripts/analyze_logs.py app.log --since 2024-01-01T00:00:00 --until 2024-01-02T00:00:00
=======================================================
Log Analysis Report
=======================================================
📊 Overview
Detected format: json
Total lines: 15,234
Parsed: 15,100 (parse failures: 134)
Matched entries: 12,800
Errors: 2,341
Time range: 2024-01-01 00:03:12 ~ 2024-01-01 23:58:45
🔴 Top Error Clusters (47 total)
#1 [×523 ] Connection refused to database at 10.0.1.5:5432
First seen: 2024-01-01T00:15:30 Last seen: 2024-01-01T23:45:12
#2 [×312 ] Timeout waiting for response from user-service after 30000ms
First seen: 2024-01-01T02:10:00 Last seen: 2024-01-01T22:30:45
#3 [×198 ] File not found: /data/uploads/img_99421.png
First seen: 2024-01-01T08:00:00 Last seen: 2024-01-01T20:15:33
...
⏰ Time Distribution (by hour)
00:00 █████░░░░░░░░░░░░░░░ 42
01:00 ██░░░░░░░░░░░░░░░░░░ 18
...
14:00 ████████████████████ 523
...
📅 Time Distribution (by date)
2024-01-01 ████████████████████ 2,341Use the `--output` parameter to export a structured JSON report for further processing or integration with monitoring systems.
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Repo: zebbern/claude-code-guide
Simulates academic peer review, evaluating papers across Originality, Methodology, Results, and Writing to provide Major/Minor Revision recommendations with…
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