# peek

> Use this tool when you need to record and analyze browser sessions for AI-powered coding assistance, allowing you to capture DOM, console, and network activity locally without relying on external services. It solves problems related to debugging, testing, and training AI models by providing a secure and private way to store and expose session data via stdio MCP. This tool is ideal for development and testing workflows where local data control and minimal telemetry are essential.

Canonical page: https://skillsregistry.net/skills/cubenest-rrweb-stack  
JSON: https://api.skillsregistry.net/v1/skills/cubenest-rrweb-stack

## Description

Records masked browser sessions (rrweb DOM + console + network) to a local SQLite store and exposes them to AI coding agents via stdio MCP. Fully local, no SaaS, no telemetry.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xer4641wc4)
- **Repository:** <https://github.com/Cubenest/rrweb-stack>

## 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": "cubenest-rrweb-stack"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cubenest-rrweb-stack` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cubenest-rrweb-stack/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