# PyTorch HUD

> Use this tool when you need to investigate build failures, trunk health issues, or analyze performance trends in PyTorch's CI/CD infrastructure. It provides access to workflow and job information, large log file analysis, and CI metrics through a standardized interface. The PyTorch HUD API is ideal for debugging CI failures, test flakiness, and resource utilization monitoring, offering both synchronous and asynchronous functions for efficient analysis.

Canonical page: https://skillsregistry.net/skills/izaitsevfb-pytorch-treehugger  
JSON: https://api.skillsregistry.net/v1/skills/izaitsevfb-pytorch-treehugger

## Description

This PyTorch HUD API implementation provides a Python library and MCP server for accessing PyTorch's CI/CD analytics data, enabling developers to investigate build failures and trunk health issues. Built with FastMCP, it offers tools for retrieving workflow and job information, analyzing large log files efficiently, executing ClickHouse queries against CI metrics, and monitoring resource utilization. The server exposes both synchronous and asynchronous functions through a standardized interface, making it valuable for PyTorch contributors debugging CI failures, investigating test flakiness, or analyzing performance trends across the CI infrastructure.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/izaitsevfb-pytorch-treehugger)
- **Repository:** <https://github.com/izaitsevfb/claude-pytorch-treehugger>

## 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": "izaitsevfb-pytorch-treehugger"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/izaitsevfb-pytorch-treehugger` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/izaitsevfb-pytorch-treehugger/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