OpenClaw

log-analyzer

Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.

gitgoodordietrying0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install gitgoodordietrying/log-analyzer

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Log Analyzer

Parse, search, and debug from application logs. Covers plain text logs, structured JSON logs, stack traces, multi-service correlation, and real-time monitoring.

When to Use

Debugging application errors from log files
Searching logs for specific patterns, errors, or request IDs
Parsing and analyzing stack traces
Setting up structured logging (JSON) in applications
Correlating events across multiple services or log files
Monitoring logs in real time during development
Generating error frequency reports or summaries

Quick Search Patterns

Find errors and exceptions

# All errors in a log file
grep -i 'error\|exception\|fatal\|panic\|fail' app.log

# Errors with 3 lines of context
grep -i -C 3 'error\|exception' app.log

# Errors in the last hour (ISO timestamps)
HOUR_AGO=$(date -u -d '1 hour ago' '+%Y-%m-%dT%H:%M' 2>/dev/null || date -u -v-1H '+%Y-%m-%dT%H:%M')
awk -v t="$HOUR_AGO" '$0 ~ /^[0-9]{4}-[0-9]{2}-[0-9]{2}T/ && $1 >= t' app.log | grep -i 'error'

# Count errors by type
grep -oP '(?:Error|Exception): \K[^\n]+' app.log | sort | uniq -c | sort -rn | head -20

# HTTP 5xx errors from access logs
awk '$9 >= 500' access.log

Search by request or correlation ID

# Trace a single request across log entries
grep 'req-abc123' app.log

# Across multiple files
grep -r 'req-abc123' /var/log/myapp/

# Across multiple services (with filename prefix)
grep -rH 'correlation-id-xyz' /var/log/service-a/ /var/log/service-b/ /var/log/service-c/

Time-range filtering

# Between two timestamps (ISO format)
awk '$0 >= "2026-02-03T10:00" && $0 <= "2026-02-03T11:00"' app.log

# Last N lines (tail)
tail -1000 app.log | grep -i error

# Since a specific time (GNU date)
awk -v start="$(date -d '30 minutes ago' '+%Y-%m-%dT%H:%M')" '$1 >= start' app.log

JSON / Structured Logs

Parse with jq

# Pretty-print JSON logs
cat app.log | jq '.'

# Filter by level
cat app.log | jq 'select(.level ==...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/gitgoodordietrying/log-analyzer
Version: —
Commit: 83e1632c39220d2cdf6f99908a4eae4d308bec40
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Log Analyzer

Parse, search, and debug from application logs. Covers plain text logs, structured JSON logs, stack traces, multi-service correlation, and real-time monitoring.

## When to Use

- Debugging application errors from log files
- Searching logs for specific patterns, errors, or request IDs
- Parsing and analyzing stack traces
- Setting up structured logging (JSON) in applications
- Correlating events across multiple services or log files
- Monitoring logs in real time during development
- Generating error frequency reports or summaries

## Quick Search Patterns

### Find errors and exceptions

```bash
# All errors in a log file
grep -i 'error\|exception\|fatal\|panic\|fail' app.log

# Errors with 3 lines of context
grep -i -C 3 'error\|exception' app.log

# Errors in the last hour (ISO timestamps)
HOUR_AGO=$(date -u -d '1 hour ago' '+%Y-%m-%dT%H:%M' 2>/dev/null || date -u -v-1H '+%Y-%m-%dT%H:%M')
awk -v t="$HOUR_AGO" '$0 ~ /^[0-9]{4}-[0-9]{2}-[0-9]{2}T/ && $1 >= t' app.log | grep -i 'error'

# Count errors by type
grep -oP '(?:Error|Exception): \K[^\n]+' app.log | sort | uniq -c | sort -rn | head -20

# HTTP 5xx errors from access logs
awk '$9 >= 500' access.log
```

### Search by request or correlation ID

```bash
# Trace a single request across log entries
grep 'req-abc123' app.log

# Across multiple files
grep -r 'req-abc123' /var/log/myapp/

# Across multiple services (with filename prefix)
grep -rH 'correlation-id-xyz' /var/log/service-a/ /var/log/service-b/ /var/log/service-c/
```

### Time-range filtering

```bash
# Between two timestamps (ISO format)
awk '$0 >= "2026-02-03T10:00" && $0 <= "2026-02-03T11:00"' app.log

# Last N lines (tail)
tail -1000 app.log | grep -i error

# Since a specific time (GNU date)
awk -v start="$(date -d '30 minutes ago' '+%Y-%m-%dT%H:%M')" '$1 >= start' app.log
```

## JSON / Structured Logs

### Parse with jq

```bash
# Pretty-print JSON logs
cat app.log | jq '.'

# Filter by level
cat app.log | jq 'select(.level ==...

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