# interstellar

> interstellar — talhahavadar-interstellar. Use this tool when you need to securely connect AI agents to your infrastructure, enabling controlled interactions and data exchange. It solves problems related to AI integration, such as data access and security, by providing a gateway for AI agents to interact with your systems. It accepts inputs from AI agents and outputs data to your infrastructure, ideal for use cases requiring secure and controlled AI-system interactions.

Canonical page: https://skillsregistry.net/skills/talhahavadar-interstellar  
JSON: https://api.skillsregistry.net/v1/skills/talhahavadar-interstellar

## Description

A controlled gateway between AI agents and your infrastructure. -- https://github.com/talhaHavadar/wormholes

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/talhaHavadar/interstellar)

## 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": "talhahavadar-interstellar"
    }
  }
}
```

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