# io.github.Archerkattri/mathlas

> Use this tool when you need to verify mathematical theorems or perform numeric computations with high accuracy, as it provides a comprehensive 3.68M-doc theorem search and verification capabilities using Lean. It solves problems related to mathematical proof validation and numeric analysis, providing reliable outputs without relying on large language models (LLMs). Ideal for use cases requiring rigorous mathematical verification, such as scientific research or AI decision-making systems.

Canonical page: https://skillsregistry.net/skills/io-github-archerkattri-mathlas  
JSON: https://api.skillsregistry.net/v1/skills/io-github-archerkattri-mathlas

## Description

Airtight math for AI agents: 3.68M-doc theorem search + numeric/Lean verification. No LLM, no key.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Archerkattri%2Fmathlas)
- **Repository:** <https://github.com/Archerkattri/mathlas>

## 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": "io-github-archerkattri-mathlas"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-archerkattri-mathlas` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-archerkattri-mathlas/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