# Host Hardware Inventory

> Collect hardware profile details (CPU, memory, disk, OS, GPU/accelerator) and current resource utilization across reachable hardware nodes. Use when a fleet operator needs a consolidated hardware and current-utilization inventory; this workflow is read-only.

- Skill: `knuckles-team/host-hardware-inventory` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add knuckles-team/host-hardware-inventory`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knuckles-team/host-hardware-inventory/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- License: MIT
- Author: Knuckles-Team (https://skillmd.com/u/knuckles-team)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/knuckles-team/host-hardware-inventory

---


# Host Hardware Inventory Workflow

Compose the named atomic skills without adding new discovery logic here.

## Inputs

Provide the target hardware node selection.

## Steps

### Step 0: hardware-profile-sweep [skill: hardware-profile-sweep]

Invoke `$hardware-profile-sweep` with the workflow inputs to collect
CPU, memory, disk, OS, and GPU/accelerator details across the nodes.

Expected: `hardware_profile`

### Step 1: host-resource-sampler [skill: host-resource-sampler] [depends_on: Step 0]

Invoke `$host-resource-sampler` with `hardware_profile`'s node
selection to sample current utilization for the same nodes.

Expected: `resource_sample`

## Output

Return `hardware_profile` and `resource_sample` as the consolidated inventory.

## Execution

- **Run first:** Step 0 — `$hardware-profile-sweep`.
- **After level 0:** Step 1 — `$host-resource-sampler`.

**Execution:** If graph-os is reachable, offload the whole DAG via `graph_orchestrate action=execute_workflow` (or the `kg-delegate` skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet `depends_on` in parallel, then their dependents.