# Interbang

> Interbang — app-interbang-interbang. Use this tool when you need to conduct moderated usability testing and analyze user interactions to identify areas for improvement. It solves problems related to understanding user behavior, identifying usability issues, and informing design decisions through features like session notes, transcripts, and report generation. It takes in test scenarios and user interaction data, and outputs actionable insights and recommendations to enhance product usability.

Canonical page: https://skillsregistry.net/skills/app-interbang-interbang  
JSON: https://api.skillsregistry.net/v1/skills/app-interbang-interbang

## Description

Moderated usability testing: read sessions, notes, transcripts, reports, and draft test scenarios.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.interbang%2Finterbang)

## Use it

MCP endpoint published by the skill: `https://interbang.app/api/mcp`

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": "app-interbang-interbang"
    }
  }
}
```

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