Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add YangsonHung/awesome-agent-skills --skill mac-software-storage-cleanupgit clone --depth 1 https://github.com/YangsonHung/awesome-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/mac-software-storage-cleanup)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/mac-software-storage-cleanup"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/mac-software-storage-cleanup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/mac-software-storage-cleanup"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/mac-software-storage-cleanup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.00579 |
| Opus 5 | $0.00013 | $0.00290 |
| Sonnet 5 | $0.00005 | $0.00116 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
mac-software-storage-cleanup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mac Software Storage Cleanup
Overview
Audit installed software and storage usage on macOS, produce prioritized cleanup recommendations, and execute low-risk cleanup only after confirmation. The skill separates app inventory, cache cleanup, simulator data, and medium-risk application data so destructive actions remain explicit and reversible where possible.
When to Use
Use this skill when the user:
- Wants to inspect software installed under
/Applications,~/Applications, Homebrew Formula, or Homebrew Cask - Wants storage usage ranked by size across apps and common cache locations
- Wants to clean low-risk paths such as
~/Library/Cachesand~/Library/Developer/CoreSimulator - Wants reclaim recommendations with low-risk and medium-risk cleanup separated clearly
Do not use
Do not use this skill when:
- The user wants to uninstall one specific app instead of doing storage governance
- The user asks to delete application data directly without explicit confirmation
- The environment is not macOS or the target paths do not apply
Instructions
- Run
scripts/report_sizes.shfirst to inventory install sources and major storage consumers. - Classify cleanup candidates by priority:
- Priority 1: caches and simulator data, generally low risk.
- Priority 2: application data directories, report only and never delete by default.
- Priority 3: low-yield small caches or logs.
- Reports must show category totals, counts, and Top N largest entries.
- To inspect priority-2 candidates, run
scripts/list_priority2_candidates.sh [target_dir] [TopN]. - Only after explicit user confirmation, run
scripts/cleanup_priority1.shor an equivalent low-risk cleanup action. - After cleanup, recompute usage and show a
before -> after -> reclaimedsummary.
Workflow
Inventory install sources and storage usage
-> identify high-value cleanup targets
-> present prioritized recommendations
-> wait for user confirmation
-> run low-risk cleanup
-> verify reclaimed space
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 70 lines · 26 tokens per session scan A d1035fbaabfd
mac-software-storage-cleanup is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 579 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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