# AgentGuard

> AgentGuard — adityamogare-agentguard. Use this tool when you need to monitor and troubleshoot complex multi-agent AI systems in real-time. AgentGuard provides autonomous observability and root-cause diagnostics, solving problems related to system performance, error detection, and model optimization. It integrates with Splunk and the Model Context Protocol, accepting log data as input and outputting actionable insights for improved system reliability.

Canonical page: https://skillsregistry.net/skills/adityamogare-agentguard  
JSON: https://api.skillsregistry.net/v1/skills/adityamogare-agentguard

## Description

Autonomous, real-time observability and root-cause diagnostics for multi-agent AI systems, powered by Splunk and the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/AdityaMogare/AgentGuard)

## 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": "adityamogare-agentguard"
    }
  }
}
```

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