# Disk Space Remediation

> Sample a host's current resource utilization and then discover and safely reclaim disk space where it is under pressure. Use when a filesystem is full or nearly full and a host needs a governed reclamation pass; this workflow never deletes anything outside the reclaimer's own safety checks.

- Skill: `knuckles-team/disk-space-remediation` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add knuckles-team/disk-space-remediation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knuckles-team/disk-space-remediation/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/disk-space-remediation

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# Disk Space Remediation Workflow

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

## Inputs

Provide the target host(s) and the reclamation risk tolerance.

## Steps

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

Invoke `$host-resource-sampler` with the workflow inputs to sample
current CPU, memory, disk, and load metrics.

Expected: `resource_sample`

### Step 1: host-disk-reclaimer [skill: host-disk-reclaimer] [depends_on: Step 0]

Invoke `$host-disk-reclaimer` with `resource_sample` to discover disk
consumers and safely reclaim space.

Expected: `reclamation_report`

## Output

Return `resource_sample` and `reclamation_report`.

## Execution

- **Run first:** Step 0 — `$host-resource-sampler`.
- **After level 0:** Step 1 — `$host-disk-reclaimer`.

**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.