# shastra

> shastra — svssdeva-shastra. Use this tool when you need to simulate complex heat dynamics or create custom shaders with WebGPU, or require a local-first vision agent and a robust MCP server. It solves problems in fields like physics, graphics, and AI by providing a suite of instruments including Yantra, Trishul, Naadi, and Darshan. It accepts various inputs such as shader code and simulation parameters, and outputs include visualizations and data analysis, making it ideal for developers and researchers working on graphics, physics, and AI projects.

Canonical page: https://skillsregistry.net/skills/svssdeva-shastra  
JSON: https://api.skillsregistry.net/v1/skills/svssdeva-shastra

## Description

Sanskrit-named instruments. WebGPU heat sim (Yantra) + Rust MCP server (Trishul)  + WebGPU Shader Sandbox (Naadi) + Local first vision  agent (Darshan)

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/svssdeva/shastra)

## 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": "svssdeva-shastra"
    }
  }
}
```

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