StorOps

SKILL运维和基础设施
运维和基础设施 未标注权限 许可证不明确
安装这个技能

Storage Operations for AI Agents. Cross-platform (Windows, Linux, macOS): diagnose why a drive or volume is full, identify what specific applications/caches/AI-model files are consuming space, and safely clean up or migrate them -- with mandatory user confirmation before any write and verification after every migration. Use when the user asks things like "why is my C: drive full", "why is my disk full" / "/ is full", "clean up disk space", "move LM Studio / Ollama / Docker / <app> to another drive", or "is it safe to delete <path>".

一句话选型结论

按资料字段整理

StorOps是运维和基础设施类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类运维和基础设施 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_cea85df7/storops
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

运维和基础设施
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_cea85df7仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791625429
正文体量9.7 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
查服务与日志

按现象定位服务状态与日志线索。

写部署与巡检脚本

把重复的部署、巡检写成脚本。

故障排查

按步骤排查网络、依赖与配置。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在运维和基础设施场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
StorOps当前 未标注权限 未标注 未标注 未标注 有
Azure 部署 调用外部服务 GitHub 仓库 664.2 万 Codex、Claude、Cursor 有
Azure diagnostics 问题管理 调用外部服务 GitHub 仓库 657.6 万 Codex、Claude、Cursor 有
Azure aigateway 部署 调用外部服务 GitHub 仓库 655.3 万 Codex、Claude、Cursor 有
Azure AI 搜索 调用外部服务 GitHub 仓库 651.4 万 Codex、Claude、Cursor 有
Azure Cloud migrate 部署 调用外部服务 GitHub 仓库 650.7 万 Codex、Claude、Cursor 有

SKILL.md 全文

9.7 KB
模型实际读到的说明书原文,来自技能仓库

StorOps

See where your storage goes. Understand why. Move what matters. Clean what doesn't.

StorOps is not a disk scanner and not a disk cleaner. WizTree already answers
"what is taking up space" -- StorOps answers what those things are, whether
they're safe to touch, and carries out a cleanup or migration safely once the
user says go. Full rationale in docs/DESIGN.md.

This file defines how an agent should behave when using StorOps -- not just
which commands exist. Prefer following the workflows below over calling
commands ad hoc; the user should not need to know command names.

Non-negotiable rules

  1. Analysis before action. Always scan/inspect/identify before proposing
    anything, and never skip straight to a write operation.
  2. Everything defaults to read-only. storops scan, storops inspect,
    storops search, storops identify, storops cleanup plan, and
    storops migrate plan never modify the filesystem -- run them freely,
    without asking first.
  3. Never guess what a path is from its name. Only storops identify (backed
    by rules/*.yaml) determines category/risk/deletability. A path with no
    matching rule comes back unknown / critical -- treat that as "do not
    touch", not as an invitation to reason about it from the folder name.
  4. Never treat "cache" or "temp" in a name as license to delete. Only act on
    what storops identify/storops cleanup plan actually classified.
  5. Critical-risk paths (Windows, Program Files, unknown system files, user
    documents) are never offered for deletion or migration. This is enforced
    in code (assert_not_critical in src/storops/core/risk.py), not just
    by convention -- don't try to route around it.
  6. Every write operation (storops cleanup execute, storops migrate execute) requires the user's explicit, itemized confirmation first, and
    the CLI itself refuses to run without --confirm. Show the plan, wait for
    a real "yes", then pass --confirm -- never on the user's behalf
    pre-emptively.
  7. If an application may be running, do not move its data. storops migrate plan flags RequiresAppClosed; storops migrate execute refuses to
    run without an explicit --app-closed acknowledgement in that case. Tell
    the user to close the app -- don't assume it's closed and don't kill the
    process yourself.
  8. For large, re-downloadable AI model/cache data (Hugging Face cache,
    Ollama/LM Studio models, etc.), always state the consequence out loud
    ("this will need to be re-downloaded") before it's included in anything
    the user approves.
  9. Prefer migration over deletion for anything the user identifies as
    valuable. Deletion is for reclaimable/disposable data; large model or
    project data that isn't disposable should be offered as MOVE, not DELETE.
  10. Prefer an application's own config-based relocation over a Junction.
    storops migrate plan already encodes this precedence -- don't override
    it towards Junction just because it seems simpler.
  11. Verify after every migration (storops verify against the result file
    storops migrate execute writes). If verification fails, say so plainly
    and stop -- never delete or further modify anything to "clean up" a
    failed verification.
  12. Don't let the scan backend (WizTree on Windows, gdu/du on Linux/macOS)
    become a hard dependency in your reasoning. If it's missing entirely, the
    CLI raises a clear error pointing at where to get it (WizTree:
    https://diskanalyzer.com/ or $env:STOROPS_WIZTREE_PATH; gdu:
    https://github.com/dundee/gdu or $env:STOROPS_GDU_PATH) -- relay that
    to the user rather than trying to work around it some other way.
  13. On Linux/macOS, every --json result from a read/plan-tier command
    (scan/inspect/search/cleanup plan/migrate plan) carries
    Backend and BackendAdvice fields. BackendAdvice is non-null only
    when StorOps fell back to the slower du backend because gdu wasn't
    found. Mention it to the user once per conversation if it's non-null
    (e.g. "by the way, installing gdu would make these scans noticeably
    faster") -- don't repeat it on every single command, and don't mention it
    at all on Windows or when it's null.

Workflow: "why is my drive full?"

  1. storops scan C:\ (or the drive the user mentioned) for top-level
    consumers and free space.
  2. To see what's inside several large entries at once, prefer one storops search &lt;path&gt; --folders --max-depth 2 (bump to 3 if two levels isn't
    enough) over storops inspect-ing each one individually. inspect
    re-walks its whole target subtree from scratch every time it's called;
    inspecting N large (and often nested/overlapping) subdirectories one at a
    time repeats stat work a single search pass already covers, and
    search's rows carry the same risk/recommended-action info inspect's
    do. Reach for storops inspect &lt;path&gt; only to drill into one specific
    directory further than that search already went.
  3. Cross-reference every notable entry with storops identify (scan/inspect/
    search already attach identity + recommended action, but call it
    directly for a single path the user asks about).
  4. Present a ranked breakdown: what it is, how big, and the recommended
    action (KEEP / DELETE / MOVE / CHECK) with reason and risk.
  5. Never delete or move anything at this stage -- this is purely diagnostic.

Workflow: "clean up disk space" / "delete X"

  1. Make sure the target has already been scanned/identified (run the scan
    workflow above first if not).
  2. Run storops cleanup plan (default --max-risk low; only raise it if
    the user explicitly says they're fine with medium/high-risk items too).
    This produces an itemized JSON plan -- nothing is deleted yet.
  3. Present the plan grouped by risk tier, each item's size, application, and
    consequence (call out medium/high-risk consequences explicitly, e.g. "may
    need to be re-downloaded"). Show the total reclaimable size.
  4. Ask the user to confirm. If they only want a subset, regenerate with a
    tighter --max-risk or point out which items to skip -- don't hand-edit
    Approved flags in the plan file without telling the user exactly what
    changed.
  5. Only once the user confirms, run storops cleanup execute --plan-file &lt;path&gt; --confirm.
  6. Report the result per item (deleted / skipped / failed) and the total
    reclaimed size. A failed item (e.g. file in use) is reported, not
    retried forcefully.

Workflow: "migrate X to another drive"

  1. Identify the source path (storops identify if not already known from a
    scan). If it's not Migratable, say so and explain why (e.g. critical,
    or no known migration path) instead of improvising one.
  2. Run storops migrate plan &lt;source&gt; &lt;destination&gt;. This decides the
    method (application config change, or Junction as fallback), and
    produces an ordered step list -- nothing is moved yet.
  3. Present the plan: source, destination, size, method, and whether the
    application must be closed first. If RequiresAppClosed, explicitly
    ask the user to close it before proceeding.
  4. Ask for confirmation on the plan as a whole.
  5. Run storops migrate execute --plan-file &lt;path&gt; --confirm (add
    --app-closed once the user has confirmed the app is closed). This
    copies the data, verifies file count/size against the source, and only
    then removes the original -- for the Junction method it also relinks the
    old path.
  6. If the method was an application config change (not a Junction), tell the
    user the exact config change to make (from the plan's MigrationHint)
    -- StorOps does not edit arbitrary app config files itself.
  7. Run storops verify --result-file &lt;path from migrate execute output&gt; and
    report PASS/FAIL per check. On FAIL, stop and describe exactly what
    didn't match -- never delete remaining data to "resolve" a failed
    verification.

Workflow: "is it safe to delete/move <path>?"

Just run storops identify &lt;path&gt; and relay Category, Deletable,
Migratable, CleanupRisk, Consequence, and the recommended action verbatim --
this is the direct, deterministic answer; don't editorialize past what the
rule base actually says, and don't guess for an unknown result.

Command reference

Tier Commands Confirmation
Read storops scan, storops inspect, storops search, storops identify none
Plan storops cleanup plan, storops migrate plan none (produces a plan file only)
Write storops cleanup execute, storops migrate execute requires --confirm (and --app-closed for migrations that need it)
Verify storops verify none (read-only re-check)

Every command supports --json for machine-readable output. Invoke as
python -m storops &lt;command&gt; ..., or storops &lt;command&gt; ... if the package
has been pip install-ed.

See README.md for setup/requirements and rules/README.md for the rule
schema behind identification.

常见问题

5 问
答案由本站依据条目字段整理
StorOps怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_cea85df7/storops。安装方式为未标注。装完刷新技能列表或重开客户端。

StorOps支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

StorOps权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

StorOps收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

StorOps用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。