# anistroph

> anistroph — vrraj-anistroph. Use this tool when you need to build predictive models across multiple domains, requiring temporal and non-temporal analysis, explainability, and multidimensional evaluation. Anistroph solves complex problems by providing a robust architecture for predictive analytics, enabling informed decision-making with its MCP-based inference capabilities. It integrates with Claude and AI agents, accepting various data inputs and outputting actionable insights through its git-enabled interface.

Canonical page: https://skillsregistry.net/skills/vrraj-anistroph  
JSON: https://api.skillsregistry.net/v1/skills/vrraj-anistroph

## Description

Anistroph -  multi-domain predictive analytics architecture for temporal and non-temporal modeling, explainability, multidimensional evaluation, and MCP-based inference with Claude and AI agents.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/vrraj/anistroph)

## 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": "vrraj-anistroph"
    }
  }
}
```

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