# aegis

> Use this tool when you need to enforce policy-based governance and ensure compliance for AI agent interactions with LangChain, OpenAI, Anthropic, and MCP. Aegis solves problems related to risk management and audit logging by providing YAML policies, approval gates, and risk assessment capabilities. It takes in policy definitions and API calls as inputs and outputs audit logs and approval decisions, making it ideal for use cases requiring strict control and monitoring of AI tool usage.

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

## Description

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging across LangChain, OpenAI, Anthropic, and MCP.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/deqv68o0sr)
- **Repository:** <https://github.com/Acacian/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": "acacian-aegis"
    }
  }
}
```

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