# reqlog

> Use this tool when you need to efficiently debug and analyze HTTP requests without cluttering the terminal. The reqlog tool provides a querying and searching interface for persisted HTTP request logs, solving problems related to debugging and log analysis. It takes in log data as input and outputs filtered and analyzed results, making it ideal for use cases where terminal noise is a hindrance to efficient debugging.

Canonical page: https://skillsregistry.net/skills/ankitksr-reqlog  
JSON: https://api.skillsregistry.net/v1/skills/ankitksr-reqlog

## Description

Provides AI coding agents with tools to query, search, and analyze persisted HTTP request logs, enabling efficient debugging without terminal noise.

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qi22uvxhqb)
- **Repository:** <https://github.com/ankitksr/reqlog>

## 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": "ankitksr-reqlog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ankitksr-reqlog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ankitksr-reqlog/pull`

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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