# ArmSight

> ArmSight — 0xconsole-arm-sight-agent. Use this tool when you need to optimize and deploy ONNX ML models on Arm64 devices, and want to improve performance and efficiency. ArmSight solves problems related to model optimization, quantization, and deployment, taking in ONNX models and outputting optimized Docker packages. It is ideal for use cases where real-time inference and low latency are critical, such as edge AI, IoT, and embedded systems applications.

Canonical page: https://skillsregistry.net/skills/0xconsole-arm-sight-agent  
JSON: https://api.skillsregistry.net/v1/skills/0xconsole-arm-sight-agent

## Description

An MCP server that autonomously optimizes ONNX ML models for Arm64 deployment, providing tools to analyze models, apply real INT8 quantization, benchmark performance, and generate Arm64-optimized Docker deployment packages.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eg0rpcx3kc)
- **Repository:** <https://github.com/0xConsole/arm-sight-agent>

## 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": "0xconsole-arm-sight-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xconsole-arm-sight-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xconsole-arm-sight-agent/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