# ClickProof

> ClickProof — sandeep-alluru-clickproof. Use this tool when you need to verify UI interactions and detect ghost actions in computer-use agents. ClickProof tracks UI elements and their expected behavior to ensure accurate interaction, solving problems related to unreliable or unvalidated user interface testing. It takes UI element inputs and outputs verification results, ideal for use cases where reliable UI interaction is crucial.

Canonical page: https://skillsregistry.net/skills/sandeep-alluru-clickproof  
JSON: https://api.skillsregistry.net/v1/skills/sandeep-alluru-clickproof

## Description

UI interaction verifier for computer-use agents — tracks which UI elements exist and their expected behavior to catch ghost actions.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jganunih3j)
- **Repository:** <https://github.com/sandeep-alluru/clickproof>

## 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": "sandeep-alluru-clickproof"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandeep-alluru-clickproof` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandeep-alluru-clickproof/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