# aegis

> aegis — getaegis-aegis. Use this tool when you need to protect sensitive credentials from AI agents, solving the problem of secure API key management. Aegis provides a local-first transparent proxy, accepting API keys as input and outputting isolated, secure interactions with external services. Ideal for use cases where credential safety is paramount, such as git integrations with private repositories.

Canonical page: https://skillsregistry.net/skills/getaegis-aegis  
JSON: https://api.skillsregistry.net/v1/skills/getaegis-aegis

## Description

Credential isolation for AI agents. Local-first transparent proxy — your agent never sees your API keys.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/getaegis/aegis)

## 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": "getaegis-aegis"
    }
  }
}
```

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