# RenderProof

> Use this tool when you need to capture and verify rendered web evidence for coding agents, solving problems of visual validation and debugging. RenderProof provides a local-first MCP server that inputs web pages and outputs screenshots, motion, pixel diffs, and CSS animation metadata. It is ideal for use cases where visual rendering accuracy and consistency are crucial, such as automated testing and QA workflows.

Canonical page: https://skillsregistry.net/skills/djsand-renderproof  
JSON: https://api.skillsregistry.net/v1/skills/djsand-renderproof

## Description

A local-first MCP server that captures rendered web evidence including screenshots, motion, pixel diffs, and CSS animation metadata for coding agents.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uod25st9qn)
- **Repository:** <https://github.com/Djsand/renderproof>

## 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": "djsand-renderproof"
    }
  }
}
```

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