# exceltester

> Use this tool when you need to automate testing and validation of Excel files, solving problems such as data integrity and formula accuracy. It takes Excel files as input and outputs test results, providing a seamless interface for integration with version control systems like Git. Ideal for use cases involving data-driven workflows and collaborative spreadsheet management.

Canonical page: https://skillsregistry.net/skills/unluckyknight42-exceltester  
JSON: https://api.skillsregistry.net/v1/skills/unluckyknight42-exceltester

## 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:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/unluckyknight42/exceltester)

## 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": "unluckyknight42-exceltester"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/unluckyknight42-exceltester` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/unluckyknight42-exceltester/pull`

---
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