本文へ移動
cccskills
無料GitHub で公開

log-error-digest

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.

インストール方法を見る

含まれるファイル(3)

  • SKILL.md3.8 KB
  • LICENSE1.1 KB
  • scripts/analyze_logs.py13.0 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Log Error Digest

Automated log file analysis that produces error clustering, frequency statistics, and time distribution reports.

Features

  • Error Clustering: Groups similar error messages by normalizing dynamic parts (IPs, UUIDs, numbers, etc.) to identify root causes
  • Frequency Statistics: Counts occurrences by error type, sorted by severity
  • Time Distribution: Shows error distribution by hour and by date, helping pinpoint peak error periods

Supported Log Formats

FormatDescriptionAuto-detection
JSONOne JSON object per line with timestamp/level/message fieldsStarts with {
syslogRFC 3164 format, e.g. Jan 1 12:00:00 host proc[pid]: msgStarts with month name
NginxAccess log or error log formatStarts with IP or date/path pattern

Usage

python scripts/analyze_logs.py <log_file_path> [options]

Parameters

ParameterDescriptionDefault
log_filePath to the log file (required)-
--formatLog format: auto/json/syslog/nginxauto
--topShow Top N error clusters20
--outputExport results to a JSON fileTerminal output only
--levelFilter by log level (e.g. ERROR, WARN)All levels
--sinceOnly analyze logs after this time (ISO format)No limit
--untilOnly analyze logs before this time (ISO format)No limit

Examples

# 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

Output

Terminal Output

=======================================================
              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  ████████████████████  2,341

JSON Output

Use the --output parameter to export a structured JSON report for further processing or integration with monitoring systems.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Simulates academic peer review, evaluating papers across Originality, Methodology, Results, and Writing to provide Major/Minor Revision recommendations with actionable feedback. Triggers when a user asks to "review my paper," "simulate peer review," or "give my paper a peer review.

日本語の概要は準備中です。原文の説明を表示しています。

zebbern/claude-code-guide4,6532026年10月10日 更新

This skill should be used when the user asks to "attack Active Directory", "exploit AD", "Kerberoasting", "DCSync", "pass-the-hash", "BloodHound enumeration", "Golden Ticket", "Silver Ticket", "AS-REP roasting", "NTLM relay", or needs guidance on Windows domain penetration testing.

日本語の概要は準備中です。原文の説明を表示しています。

zebbern/claude-code-guide4,6532026年10月10日 更新

This skill should be used when the user asks to "test API security", "fuzz APIs", "find IDOR vulnerabilities", "test REST API", "test GraphQL", "API penetration testing", "bug bounty API testing", or needs guidance on API security assessment techniques.

日本語の概要は準備中です。原文の説明を表示しています。

zebbern/claude-code-guide4,6532026年10月10日 更新

Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".

日本語の概要は準備中です。原文の説明を表示しています。

zebbern/claude-code-guide4,6532026年10月10日 更新

Interactive system flow tracing across CODE, API, AUTH, DATA, NETWORK layers with SQLite persistence and Mermaid export. Use for security audits, compliance documentation, flow tracing, feature ideation, brainstorming, debugging, architecture reviews, or incident post-mortems. Triggers on audit, trace flow, document flow, security review, debug flow, brainstorm, architecture review, post-mortem, incident review.

日本語の概要は準備中です。原文の説明を表示しています。

zebbern/claude-code-guide4,6532026年10月10日 更新

Authentication patterns: session vs JWT vs OAuth comparison, provider selection (NextAuth, Clerk, Supabase Auth), security checklist, and common mistakes. Use when implementing auth, reviewing auth flows, or choosing auth providers.

日本語の概要は準備中です。原文の説明を表示しています。

zebbern/claude-code-guide4,6532026年10月10日 更新

zebbern のスキルをすべて見る

このスキルの問題を報告する