# sniff

> sniff — aboudjem-sniff. Use this tool when you need to automate quality assurance testing for web applications, solving problems such as identifying accessibility issues, visual regressions, and performance bottlenecks. It takes in web application code and outputs detailed reports on five key areas: source scanning, accessibility, visual regression, performance, and AI exploration. Ideal for use with popular frameworks like React, Next.js, and Vue, in contexts where zero-config testing and native MCP integration are valued.

Canonical page: https://skillsregistry.net/skills/aboudjem-sniff  
JSON: https://api.skillsregistry.net/v1/skills/aboudjem-sniff

## Description

Point it at your running app. It walks your real user flows in a real browser and tells you what is actually broken, with proof.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** api-integration
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Aboudjem/sniff)

## 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": "aboudjem-sniff"
    }
  }
}
```

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