Agent skill

Cleanup

by cua-lite in cua-lite/cua-lite

Direct-mode cleanup of local docker containers, training processes, and GPU memory.

No licenceAuto-check passedDevOps & Cloud

Install Cleanup

skills CLI
$ npx skills add cua-lite/cua-lite --skill cleanup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cua-lite/cua-lite cleanup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cua-lite/cua-lite.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/cleanup .claude/skills/cleanup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cleanup
GitHub stars
107
Token cost
~1.7k tokens
SKILL.md length
586 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
None found

At a glance

Direct-mode cleanup of local docker containers, training processes, and GPU memory.

  • Works in 3 steps: Survey → Clean (after user confirmation) → Verify
  • Tasks that involve Containers
  • SKILL.md covers Arguments, 1. Survey, 2. Clean (after user… and 3. Verify, plus 1 more section
  • Calls docker, bash and uv

What it does

Cleanup is an agent skill from cua-lite/cua-lite. Direct-mode cleanup of local docker containers, training processes, and GPU memory. For env-server based ops (HTTP DELETE /instances, server start/stop) use /server.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Containers. It works with Docker and Android. The repository describes itself as: CUA-Lite: An Open Platform for Computer-Use Agents.

When your agent uses it

  • Tasks that involve Containers

Example prompts

  • “/cleanup”

Requirements

  • Python 3
  • Docker

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Survey
  2. Clean (after user confirmation)
  3. Verify

What it can do on your machine

Read from SKILL.md and the folder at commit 65a61c4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • docker
    • bash
    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use docker and uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cleanup loads about 1.7k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 586 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 586 words (~1,669 tokens).

“Clean up stale resources on the local host:”

— opening of SKILL.md by cua-lite
name
cleanup

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/cleanup of cua-lite/cua-lite.

Open the folder on GitHubat commit 65a61c4

Compare with similar skills

Cleanup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cleanup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cleanup this skillcua-lite/cua-lite107—~1.7kAutomated safety check: PassNone
Sync Reviewthun-res/vlink116—~290Automated safety check: PassApache-2.0
Frb Dev Envfzyzcjy/flutter_rust_bridge5.4k—~5.5kAutomated safety check: PassMIT
GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb6.7k—~4kAutomated safety check: NotesApache-2.0
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence
LangBot Deployment Guidelangbot-app/LangBot18k—~1.2kAutomated safety check: NotesApache-2.0

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Works with

Categories

Questions about Cleanup

What does Cleanup do?

Direct-mode cleanup of local docker containers, training processes, and GPU memory. Cleanup is an agent skill from cua-lite/cua-lite. Direct-mode cleanup of local docker containers, training processes, and GPU memory.

When should I use Cleanup?

Cleanup fits situations like: tasks that involve Containers.

How do I install Cleanup in Claude Code?

Run `npx skills add cua-lite/cua-lite --skill cleanup -a claude-code`. Or copy the skill folder (.claude/skills/cleanup in cua-lite/cua-lite) into .claude/skills/cleanup in your project. Claude Code loads it when a task matches its description.

How do I install Cleanup in Codex?

Run `npx skills add cua-lite/cua-lite --skill cleanup -a codex`. Or copy the skill folder (.claude/skills/cleanup in cua-lite/cua-lite) into .agents/skills/cleanup in your project. Codex loads it when a task matches its description.

Can I use Cleanup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cua-lite/cua-lite --skill cleanup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cleanup, .gemini/skills/cleanup, .github/skills/cleanup and .opencode/skills/cleanup in your project.

What does Cleanup need to run?

Going by SKILL.md and its folder, Cleanup needs the command-line tools its instructions call (docker, bash and uv). Our summary lists: Python 3; Docker.

Does Cleanup access the network?

SKILL.md contains no URLs. Its commands use docker and uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Cleanup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cleanup use?

No licence was found for Cleanup or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Cleanup use?

About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cleanup?

Skills that share tags, products or a category with Cleanup: Sync Review (thun-res/vlink, 116 stars), Frb Dev Env (fzyzcjy/flutter_rust_bridge, 5.4k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars) and Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cleanup?

cua-lite (a GitHub organization) maintains it in cua-lite/cua-lite, which has 107 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 25, 2026.

Source: cua-lite/cua-lite on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.