name: disk-cleanup description: Scan and clean macOS caches, package-manager data, crash dumps, and app caches to reclaim disk space. Deterministic — a config registry (targets.json) plus two scripts (survey.py read-only, clean.py executor) do all the measuring and deleting; the agent only relays a compressed summary and makes the few human-judgment calls. IMPORTANT — use this skill whenever the user's request on macOS involves: freeing disk space, cleaning/clearing caches, "disk is full", "clean up my Mac", "free up space", "what's eating my disk", "running low on disk", needing space for an install, or any low-storage complaint. Covers the whole workflow survey → choose → clean → empty Trash.
Disk Cleanup
Deterministic by design. All target knowledge lives in targets.json; all measuring and
deleting lives in scripts/survey.py (read-only) and scripts/clean.py (executor, dry-run by
default). They run headless with zero dependencies (stdlib only) — a user can run them in a
terminal without any agent. The agent's job is small: run the scripts, relay the compressed
output, and decide the handful of things that need human judgment.
The two scripts
python3 scripts/survey.py # read-only: sizes, risk, flags, uncategorized. Touches nothing.
python3 scripts/survey.py --json # same, machine-readable (preferred for the agent)
python3 scripts/clean.py --preset safe # DRY-RUN plan (default — nothing deleted)
python3 scripts/clean.py --preset safe --go # execute (safe risk only)
python3 scripts/clean.py --preset full --allow-medium --go --empty-trash # safe+medium, then empty Trash
python3 scripts/clean.py --ids cargo-registry-cache,go-mod-cache --go # specific targets
python3 scripts/clean.py --preset safe --skip ollama-models --go # exclude one
trash is used for all file removal (never rm); freed space sits in Trash until emptied
(--empty-trash, or the user empties it). Sizes are du estimates — approximate on APFS.
Safety model (enforced in code, not prose)
- Risk gating:
saferuns automatically;mediumneeds--allow-medium;neveris refused even if named by id.advisorytargets only print guidance, never execute. - Preflight on every trashed path: canonical
realpath→ must resolve under anallowed_rootsentry → must not be a symlink → never$HOMEor/. Anything failing is skipped and reported, not deleted. - Dry-run by default:
clean.pyprints the plan and touches nothing unless--go.
Agent workflow
- Run
python3 scripts/survey.py --json. Relay the compressed summary: disk free,safe/mediumrecoverable totals, anyflags(e.g. crash-loop), and the top targets. Do not dump the whole JSON. - Auto-path: for a plain "clean up safe stuff", show the
safetotal and runclean.py --preset safe --go(offer--empty-trash). Safe targets are regenerable. - Escalate to the user ONLY for (these are genuine judgment calls the scripts deliberately
refuse to auto-decide):
mediumtargets (ML models, device support, projectnode_modules) — confirm before--allow-medium.uncategorizeddiscoveries — unknown dirs >100 MB; ask or investigate before adding.advisorynotes — surface them (Telegram cache, simulators viasimctl,uv/tools, Chrome whole-dir, Xcode Archives,mo cleandeep-clean); never act on them automatically. Formole-deep-clean: suggest the user runmo cleanthemselves (interactive TUI, permanent deletes, sudo for system caches) — never invoke it from the agent.- surgical Docker / simulator decisions (see below).
- Run
clean.pywith the resolved selection. Relay the result (freed_human, disk before→after).
Maintaining the registry
Add or correct targets by editing targets.json — no code change needed. Each target:
{id, category, risk, method, paths|find, regenerates, priority, note}. Methods:
trash— trash literal paths (globs allowed).find-trash— exact-name dir sweep with amin_mbfloor (crash dumps, projectnode_modules).command— run a CLI (npm cache clean…); setscope_pathso freed bytes can be measured.simctl—xcrun simctl delete unavailable(removes only sims for uninstalled runtimes; safe).downloads-scan— config-driven (config.json→downloads_scan): files older thanage_dayswhose name doesn't matchexclude_patterns. The dry-run lists every file by name for review.advisory— never executes; only prints guidance.
Keep installed software at risk: never (learned the hard way: uv/tools, uv/python,
~/.rustup/toolchains, ~/.bun, ~/.deno are NOT caches). Every non-advisory target's paths
must resolve under allowed_roots or preflight will (correctly) refuse them.
Customization & setup (per-machine, never committed)
config.json ships generic, public-safe defaults. Anything personal — names, family
names, a non-English tax/legal/financial vocabulary — or machine-specific goes in
config.local.json (gitignored). load_config() deep-merges it over config.json:
lists are unioned (local terms only add protection to the Downloads exclude list), scalars
override. See config.local.example.json for the shape.
Setup mode — when the user first uses the skill, asks to personalize it, or has sensitive
files in ~/Downloads, offer to build config.local.json by asking (one short batch):
- Names/keywords in Downloads filenames that must never be swept (own name, family names).
- Their language's tax/legal/financial terms (e.g. German
steuer,rechnung,vertrag). - Their projects directory (for the
node_modulessweep) and any extra app caches. Then writeconfig.local.json(copyconfig.local.example.jsonand fill it in). Confirm what was saved. Never commit it.
Per-machine paths in targets.json (allowed_roots, the node-modules-projects find root
~/ai_projects) are examples — adjust them to the user's layout. Targets whose paths don't
exist on this machine simply measure 0 and are skipped.
Still agent-driven (only what genuinely can't be deterministic)
- Docker only — surgical and stateful: survey with
docker images/docker ps -as/docker system df -v, let the user pick per-name (docker rm/rmi/volume rm/builder prune), or bluntdocker system prune -a -f. A named volume removed = data gone; confirm by name. (Everything else — simulators via thesimctlmethod, Downloads viadownloads-scan, crash dumps, all caches — now runs through the scripts.)