computer-clean SKILL.md skillB

computer-clean from vanducng/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add vanducng/skills/computer-clean@v1.3.0

Pins v1.3.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
vanducng/skills
Path
skills/computer-clean/SKILL.md
Versions recorded
8
Latest version
v1.3.0, committed Oct 24, 2026
First version recorded
Jul 24, 2026
Size
20,866 bytes
Repository stars
8
License
MIT

Audit and reclaim disk space on macOS. Discovers cache hogs, dev caches, dead app data, old Downloads, dup installers, obsolete container images and volumes, merged worktrees, and stale node_modules/.venv dirs. Use when user says 'clean disk', 'free up space', 'computer-clean', 'cleanup mac', 'disk full', or shows ≥85% disk usage.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Computer Clean - macOS Disk Cleanup

Goal: surface the largest reclaimable space on the user's Mac, classify by risk, **always confirm before destructive ops**, then execute.

## Operating principle

**Audit → Classify → Confirm → Execute → Verify.** Never skip the confirm step for 🟡/🔴 buckets. The 🟢 cache bucket can run after a single user "go".

The skill **discovers** what's actually on the user's machine - don't assume specific apps/caches exist. Run audit commands first, then classify what was found.

---

## Phase 1 - Audit (read-only)

Run these in parallel. Report top consumers per bucket.

Never run `du -sh ~/*` in the foreground: a large project tree (`~/git`, `~/projects`) can take over 10 minutes and stall the audit. Size dotdirs one by one with a timeout, and size project roots per child in the background.

Stock macOS has no `timeout`. It comes from Homebrew coreutils, as `timeout` or `gtimeout`. The `tmo` helper defined in each block uses whichever one exists, and without either it runs the command with no time limit. A `${T:+$T 60}` prefix would break under zsh, which does not word-split.

```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add vanducng/skills/computer-clean@sha256:fc51b254a4ec07b2

The line at the top of this page pins the label v1.3.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_pymuihfhbzlbatmm.svg)](https://markdownregistry.com/a/art_pymuihfhbzlbatmm)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 8 versions of this file, between Jul 24, 2026 and Oct 24, 2026, about one every 13 days.

versioncommittedcommitsizeaudit
v1.3.0 latest2026-10-24 72b49a0 20,866 BB view · diff
v1.2.02026-10-10 c07a8cb 12,182 BB view · diff
v1.2.02026-09-13 fe10d4f 10,889 BB view · diff
v1.2.02026-09-11 9e58ef3 9,871 BB view · diff
v1.1.02026-08-23 38eb538 11,711 BB view · diff
v1.1.02026-08-16 c83d21b 11,383 BB view · diff
v1.1.02026-08-12 c263ff2 11,351 BB view · diff
v1.1.02026-07-24 51405ee 9,014 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No recursive delete of root, home or parent (matched: rm -rf ~/)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (20866 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

vanducng/skills · 8 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_pymuihfhbzlbatmm
GET https://markdownregistry.com/api/v1/resolve?ref=vanducng/skills/computer-clean
GET https://markdownregistry.com/api/v1/blob/fc51b254a4ec07b2129faf62b67d600b4ae3e11b31a2e125bfd7114871a8f277

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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