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SKILL verified MIT Self-run

Log Analyzer

skill-laolaoshiren-claude-code-skills-zh-log-analyzer · by laolaoshiren

日志分析助手 — 智能解析日志文件，识别异常模式，定位问题根因

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Install

$ agentstack add skill-laolaoshiren-claude-code-skills-zh-log-analyzer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-laolaoshiren-claude-code-skills-zh-log-analyzer)

Reliability & compatibility

✓ Security review passed
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● 1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

📋 log-analyzer — 日志分析助手

触发条件

当用户要求以下操作时激活此技能：

  • 分析应用日志文件（.log, .txt, journalctl 输出等）
  • 排查线上问题和异常
  • 从日志中提取统计信息
  • 生成日志分析报告

工作流程

1. 日志格式识别

自动检测日志格式：

  • 结构化: JSON logs, Logfmt
  • 常见格式: Nginx/Apache access log, Spring Boot, Django, Rails
  • 系统日志: syslog, journalctl, Windows Event Log
  • 自定义格式: 根据正则提取字段

2. 日志预处理

  • 按时间范围过滤（如「最近 1 小时」「今天」）
  • 按日志级别筛选（ERROR, WARN, INFO, DEBUG）
  • 按来源/模块/服务过滤
  • 去重和聚合相似错误

3. 异常模式检测

  • 错误聚类: 将相似错误归为一组，避免重复分析
  • 频率分析: 识别高频错误和突发异常
  • 时间关联: 发现错误是否与特定事件（部署、流量高峰）相关
  • 因果链追踪: 从根因错误到最终表现

4. 关键信息提取

  • 错误堆栈分析（定位源码位置）
  • HTTP 状态码分布（4xx/5xx 比例）
  • 响应时间统计（P50/P95/P99）
  • 内存/CPU 异常指标

5. 生成分析报告

## 📊 日志分析报告

### 概览
- 时间范围: 2024-01-15 10:00 ~ 12:00
- 总日志量: 12,847 条
- 错误数: 234 (1.8%)
- 警告数: 567 (4.4%)

### Top 5 异常
| 排名 | 错误类型 | 次数 | 首次出现 | 最近出现 |
|------|---------|------|---------|---------|
| 1 | NullPointerException | 89 | 10:15 | 11:42 |
| 2 | ConnectionTimeout | 67 | 10:23 | 11:58 |

### 根因分析
最可能的原因：数据库连接池耗尽（线索：连续出现 ConnectionTimeout 后跟大量 NullPointerException）

### 建议
1. 检查数据库连接池配置（当前可能 maxActive 太小）
2. 排查是否存在连接泄漏
3. 添加连接池监控告警

支持的日志来源

  • 文件系统日志（*.log）
  • Docker/Kubernetes 容器日志
  • journalctl 系统日志
  • AWS CloudWatch / GCP Logging
  • ELK Stack (Elasticsearch 查询结果)
  • 应用直接输出的文本

注意事项

  • 敏感信息脱敏（密码、token、手机号等）
  • 大文件分块处理，避免内存溢出
  • 时区统一处理
  • 不要臆造日志中不存在的信息

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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