# Log Analysis

> Use this tool when you need to analyze large log files and identify patterns, errors, and trends. It solves problems related to log data interpretation, error diagnosis, and performance monitoring by providing aggregated log levels, error clustering, and visualized graph outputs. The tool accepts log files as input and outputs structured results, including histograms and PNG graphs, making it ideal for use cases involving log data analysis and troubleshooting.

Canonical page: https://skillsregistry.net/skills/shahraj91-log-analysis  
JSON: https://api.skillsregistry.net/v1/skills/shahraj91-log-analysis

## Description

Analyzes large log files using a hybrid architecture that separates deterministic signal extraction from optional LLM-powered reasoning. Provides three core tools: log level aggregation with time-bucketed histograms, error clustering via normalized string similarity, and PNG graph generation. The server processes logs locally using pattern matching, pandas, and matplotlib, then exposes structured results through the protocol for further analysis.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shahraj91-log-analysis)
- **Repository:** <https://github.com/shahraj91/log-mcp-agentic-analysis>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shahraj91-log-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shahraj91-log-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shahraj91-log-analysis/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt