# Krometrail

> Use this tool when you need to debug and investigate issues in running web applications. Krometrail records browser activity and provides session investigation tools, giving AI coding agents visibility into application behavior to solve problems like error identification and performance optimization. It takes in browser interactions as input and outputs actionable insights for debugging and troubleshooting.

Canonical page: https://skillsregistry.net/skills/nklisch-krometrail  
JSON: https://api.skillsregistry.net/v1/skills/nklisch-krometrail

## Description

Gives AI coding agents eyes into running applications by recording browser activity and providing session investigation tools for debugging.

## Trust

- **Trust score (0–1):** 0.01
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gxzxi2jedx)
- **Repository:** <https://github.com/nklisch/krometrail>

## 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": "nklisch-krometrail"
    }
  }
}
```

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