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Install in OpenClaw
/install diskclean
Description
AI-assisted disk space scanner and cleaner. Finds reclaimable space (node_modules, build caches, package caches, downloads, Docker, Xcode, logs) and intellig...
README (SKILL.md)
Disk Cleaner - AI-Assisted Disk Space Management
You have access to diskclean.sh, a disk scanning and cleaning tool. Install it by copying diskclean.sh to a location on your PATH, or run it directly from this skill's directory.
Setup
# Make executable (if not already)
chmod +x diskclean.sh
# Optional: symlink to PATH
ln -sf "$(pwd)/diskclean.sh" /usr/local/bin/diskclean
Commands
# Full scan:returns JSON with all reclaimable items
./diskclean.sh scan
# Preview safe-tier auto-deletions (dry run, default)
./diskclean.sh clean --dry
# Execute safe-tier deletions
./diskclean.sh clean --confirm
# Show last scan results
./diskclean.sh report
# Show scan history over time
./diskclean.sh history
How to Use This Skill
When the user asks to scan or clean disk space:
- Run a scan first: Always start with
diskclean.sh scan - Summarize findings conversationally: Group items by category, show top offenders by size, report total reclaimable space
- Explain the tiers clearly:
- Safe tier (auto-deletable): Items matching a strict whitelist AND older than the age gate (7-14 days). These are regenerable artifacts like
node_modules,__pycache__, build caches, package manager caches. - Suggest tier (needs approval): Everything else:Docker, downloads, venvs, trash. Present these as recommendations and ask the user what they want to do.
- Safe tier (auto-deletable): Items matching a strict whitelist AND older than the age gate (7-14 days). These are regenerable artifacts like
- For safe-tier cleanup: Run
diskclean.sh clean --dryfirst to show what would be deleted, thendiskclean.sh clean --confirmonly after user approves - For suggest-tier items: Present them individually or grouped by category. If the user approves specific items, delete them manually with
rm -rf(after confirming the path is under $HOME)
Presentation Format
When presenting scan results, use this structure:
## Disk Scan Results
**Total reclaimable: X.X GB**
- Safe tier (auto-cleanable): X.X GB
- Needs your review: X.X GB
### Safe to Auto-Clean
| Category | Size | Age | Path |
|----------|------|-----|------|
| ... | ... | ... | ... |
### Needs Your Review
| Category | Size | Age | Path |
|----------|------|-----|------|
| ... | ... | ... | ... |
Safety Rules
- Never delete anything outside $HOME
- Never delete .git directories
- Never delete source code, documents, photos, or config files
- Never run
clean --confirmwithout showing the userclean --dryoutput first - Never delete suggest-tier items without explicit user approval per item or category
- Always verify a path exists before attempting deletion
How It Works
Tiered Safety Model
Safe tier = whitelisted category + age gate met. Auto-deletable with --confirm.
Suggest tier = everything else. Requires explicit user approval.
Categories Scanned
| Category | What | Safe Tier | Age Gate |
|---|---|---|---|
| node_modules | Node.js dependencies (with package.json sibling) | Yes | 7 days |
| python_cache | __pycache__, .pytest_cache |
Yes | 7 days |
| python_venv | .venv/, venv/ |
No | : |
| build_output | build/, dist/, .next/, target/ |
Yes | 7 days |
| go_cache | Go module + build cache | Yes | 14 days |
| homebrew_cache | Homebrew download cache | Yes | 14 days |
| npm_yarn_pnpm_cache | npm/yarn/pnpm caches | Yes | 14 days |
| pip_cache | pip download cache | Yes | 14 days |
| xcode_derived | Xcode DerivedData | Yes | 7 days |
| docker | Docker images, volumes, build cache | No | : |
| large_download | Files >100MB in Downloads | No | : |
| installer_archive | .dmg/.pkg/.zip/.iso in Downloads | No | : |
| logs | macOS logs (>50MB) | Yes | 30 days |
| crash_reports | Diagnostic reports (>10MB) | Yes | 30 days |
| ds_store | .DS_Store files | Yes | 0 days |
| trash | ~/.Trash contents | No | : |
Guardrails
- Only scans under
$HOME(plus/tmpuser files) node_modulesonly deleted if apackage.jsonexists alongside (proof it's regenerable)- Dry-run is the default:must pass
--confirmto actually delete - Every deletion is logged to
~/.openclaw/diskclean/deletion-log.jsonl - All scan reports stored in
~/.openclaw/diskclean/scans/
Data Storage
- Scan reports:
~/.openclaw/diskclean/scans/scan-YYYYMMDD-HHMMSS.json - Latest scan:
~/.openclaw/diskclean/latest-scan.json - Deletion log:
~/.openclaw/diskclean/deletion-log.jsonl
Usage Guidance
This skill appears to do what it says, but it can perform destructive deletions. Before installing or running: 1) Inspect the rest of diskclean.sh (the provided copy is truncated) to confirm how the 'clean --confirm' path-checks and delete operations are implemented (ensure they enforce $HOME and avoid shell globbing surprises). 2) Always run scans and 'clean --dry' first and review the generated JSON in ~/.openclaw/diskclean/scans/. 3) Back up important data before first use. 4) Be cautious about following SKILL.md guidance to run manual 'rm -rf' — prefer using the script's vetted delete command only after reviewing its code. 5) If you plan to symlink the script into /usr/local/bin, verify the file contents locally and avoid installing from untrusted sources.
Capability Analysis
Type: OpenClaw Skill
Name: diskclean
Version: 1.0.0
The diskclean skill is a legitimate utility for managing disk space by identifying and removing temporary or regenerable files like build caches and node_modules. The diskclean.sh script and SKILL.md instructions include robust safety guardrails, such as enforcing deletions only within $HOME, excluding .git directories, implementing age gates for 'safe' items, and requiring mandatory dry-runs and user approval before any action. No evidence of data exfiltration, malicious execution, or prompt injection was found.
Capability Assessment
Purpose & Capability
Name and description match the provided assets: a bash script that scans $HOME for reclaimable items and uses a single python3 invocation to aggregate results. Declared requirement (python3) is reasonable for the python3-based aggregation step. Optional use of docker/go/homebrew is consistent with scanning those ecosystems.
Instruction Scope
SKILL.md stays within the disk-cleaning scope and includes explicit guardrails (never delete outside $HOME, dry-run required, don't delete .git, log deletions). However the instructions also tell the agent it may delete suggest-tier items with rm -rf after confirming paths under $HOME — that gives the agent the ability to run destructive shell commands. The provided diskclean.sh mostly emits scan items; the file is truncated in the submission so the actual deletion implementation and path-safety checks for the 'clean --confirm' subcommand could not be fully verified.
Install Mechanism
No install spec; instruction-only approach with a single bundled shell script is low-risk from an install standpoint. The script is intended to be copied into PATH or run in-place; there is no remote download or archive extraction declared.
Credentials
No credentials or unrelated environment variables are requested. The script reads HOME and writes to ~/.openclaw/diskclean for reports/logs, which is proportionate to its purpose.
Persistence & Privilege
always:false and default autonomous invocation is used. The skill stores its own scan reports and deletion log under the user's home (~/.openclaw/diskclean), which is expected behavior and does not modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install diskclean - After installation, invoke the skill by name or use
/diskclean - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: AI-assisted disk space scanner and cleaner
Metadata
Frequently Asked Questions
What is diskclean?
AI-assisted disk space scanner and cleaner. Finds reclaimable space (node_modules, build caches, package caches, downloads, Docker, Xcode, logs) and intellig... It is an AI Agent Skill for Claude Code / OpenClaw, with 125 downloads so far.
How do I install diskclean?
Run "/install diskclean" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is diskclean free?
Yes, diskclean is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does diskclean support?
diskclean is cross-platform and runs anywhere OpenClaw / Claude Code is available (mac, linux).
Who created diskclean?
It is built and maintained by Jack Reid (@0xj7r); the current version is v1.0.0.
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