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-cleanup-cngit 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-cn)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/mac-software-storage-cleanup-cn"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/mac-software-storage-cleanup-cn/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-cn"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/mac-software-storage-cleanup-cn.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 | $0.00034 | $0.00707 |
| Opus 5.5 | $0.00014 | $0.00283 |
| Sonnet 5.5 | $0.00007 | $0.00141 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
mac-software-storage-cleanup-cn 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 1mo 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.
What it actually says
Mac Software Storage Cleanup
Overview
审计 macOS 软件安装与磁盘占用，输出可执行的分级清理建议，并在用户确认后执行低风险清理。流程会区分应用清单、缓存、模拟器数据和中风险应用数据，避免在没有确认的情况下删除业务数据。
何时使用
当用户有以下需求时使用本技能：
- 检查
/Applications、~/Applications、Homebrew Formula、Homebrew Cask 安装了哪些软件 - 统计软件和常见缓存目录的空间占用，并按大小排序
- 清理
~/Library/Caches、~/Library/Developer/CoreSimulator等低风险目录 - 给出磁盘空间治理建议，并区分低风险与中风险清理项
不要使用
以下场景不应使用本技能：
- 用户想卸载某个具体应用，而不是做磁盘治理盘点
- 用户要求直接删除业务数据目录，但没有明确确认
- 任务环境不是 macOS，或目标路径不适用当前系统
使用说明
- 先执行
scripts/report_sizes.sh，盘点软件来源与主要占用目录。 - 基于报告区分清理优先级：
- 优先级 1：缓存和模拟器数据，默认低风险。
- 优先级 2：应用业务数据目录，仅列出候选，不直接删除。
- 优先级 3：收益较低的小型缓存或日志。
- 输出结论时，必须展示目录类别、数量、总占用和 Top N 大户。
- 如需扫描优先级 2 候选，执行
scripts/list_priority2_candidates.sh [目标目录] [TopN]。 - 只有在用户明确确认后，才执行
scripts/cleanup_priority1.sh或等价清理动作。 - 清理完成后，重新核算并输出“清理前 -> 清理后 -> 释放空间”的对比结果。
标准流程
盘点安装来源与空间占用
-> 识别高价值可清理目录
-> 给出分级建议
-> 等待用户确认
-> 执行低风险清理
-> 复核释放结果
执行命令
bash scripts/report_sizes.sh
bash scripts/list_priority2_candidates.sh ~/Library/Application\\ Support 20
bash scripts/cleanup_priority1.sh
输出要求
- 明确展示每类路径的数量和总占用
- 列出 Top N 大户，便于用户快速决策
- 任何清理动作都必须包含清理前后对比
- 没有用户确认时，不主动删除优先级 2 目录
边界
- 不使用破坏性 git 命令
- 不删除用户未确认的应用业务数据
- 若脚本失败，改用更稳妥的只读排查或最小范围清理方式
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.
- 1mo ago First seen · 70 lines · 34 tokens per session scan A 189d4f17b340
mac-software-storage-cleanup-cn is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 707 once invoked, about $0.0001 per session on Opus 5.5. 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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