Agent skill

Sub Agent

by Wide-Moat in Wide-Moat/open-computer-use

COSTLY: Spawns a separate sub-agent CLI session. An agent skill from Wide-Moat/open-computer-use.

Custom licenceAuto-check passedAgent Workflows

Install Sub Agent

skills CLI
$ npx skills add Wide-Moat/open-computer-use --skill sub-agent -a claude-code

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

GitHub CLI
$ gh skill install Wide-Moat/open-computer-use sub-agent --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/Wide-Moat/open-computer-use.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/public/sub-agent .claude/skills/sub-agent && 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
sub-agent
GitHub stars
126
Token cost
~1.9k tokens
SKILL.md length
644 words
Files
4 (incl. scripts, references)
Skills in repo
5
Repo updated
First seen
Licence
Custom licence

At a glance

COSTLY: Spawns a separate sub-agent CLI session. An agent skill from Wide-Moat/open-computer-use.

  • Any task completable in fewer than 10 tool calls
  • SKILL.md covers Before Any sub_agent Call, When to Use (ONLY complex CODE…, When NOT to Use and MANDATORY: Task Structure, plus 4 more sections
  • Runs Shell scripts from its folder; calls bash and claude
  • Tasks that involve Subagents

What it does

Sub Agent is an agent skill from Wide-Moat/open-computer-use. COSTLY: Spawns a separate sub-agent CLI session. Use ONLY for complex CODE tasks requiring 10+ iterative tool calls (multi-file refactoring with tests, code review with fixes, test-fix cycles). IMPORTANT: Always run the model discovery script first before any subagent call. Do NOT use for presentations, research, documentation, or any task completable in fewer than 10 tool calls.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/security-review.md`, `references/usage.md` and `scripts/list_subagent_models.sh`).

It sits in Agent Workflows, covering Subagents. The repository describes itself as: ARCHIVED — superseded by Wide Moat.

When your agent uses it

  • Any task completable in fewer than 10 tool calls
  • Tasks that involve Subagents

Example prompts

  • “/sub-agent”

Requirements

  • Python 3
  • A Bash shell

What it can do on your machine

Read from SKILL.md and the folder at commit 1ddf832. 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

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • bash
    • claude

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

  • Network

    No URLs in SKILL.md.

    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

Sub Agent loads about 1.9k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 644 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.6k

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); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 644 words (~1,872 tokens).

“Delegate complex, multi-step tasks to an autonomous sub-agent that can iterate until completion.”

— opening of SKILL.md by Wide-Moat, Custom licence
name
sub-agent

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts, references) in skills/public/sub-agent of Wide-Moat/open-computer-use.

  • SKILL.md
  • references/security-review.md
  • references/usage.md
  • scripts/list_subagent_models.sh

Open the folder on GitHubat commit 1ddf832

Compare with similar skills

Sub Agent 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.

Sub Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sub Agent this skillWide-Moat/open-computer-use126—~1.9kAutomated safety check: PassCustom licence
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Kimi Code DelegationCherryHQ/cherry-studio52k1 repos~504Automated safety check: PassAGPL-3.0
V2 Perf Iterationmirage-project/mirage2.5k—~4kAutomated safety check: PassApache-2.0
Clone App Pat Proper-simmons/clone-app-pat-pro-public259—~1.9kAutomated safety check: NotesNone
Swarm Orchestrationruvnet/ruflo74k2 repos~779Automated safety check: PassMIT

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  • O2 Review Loop

    openobserve/openobserve

    Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.

    22k GitHub stars~3.7k tokensUpdated today
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  • Kimi Code Delegation

    CherryHQ/cherry-studio

    Delegates one bounded repository task to Kimi Code in non-interactive prompt mode and reads back the final result from its JSON event stream.

    52k GitHub starsUsed in 1 repo~504 tokens
    Agent WorkflowsAuto-check passed
  • V2 Perf Iteration

    mirage-project/mirage

    Runtime-V2 performance-iteration workflow. An agent skill from mirage-project/mirage.

    2.5k GitHub stars~4k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Clone App Pat Pro

    per-simmons/clone-app-pat-pro-public

    Clones any web app pixel-for-pixel from a URL. An agent skill from per-simmons/clone-app-pat-pro-public.

    259 GitHub stars~1.9k tokensUpdated 4 mo ago
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  • Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.

    74k GitHub starsUsed in 2 repos~779 tokens
    Agent WorkflowsAuto-check passed
  • Team Mode

    oil-oil/codex-team-mode

    A skill your agent uses when a task may benefit from a bounded subagent for implementation, large-codebase discovery at task start, independent review, requested or pre-commit code simplification…

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More from Wide-Moat/open-computer-use

  • GitLab Explorer

    Wide-Moat/open-computer-use

    Explore GitLab repositories using glab CLI and git commands.

    126 GitHub stars~891 tokensUpdated 2 days ago
    Auto-check passed
  • File Reading

    Wide-Moat/open-computer-use

    A skill your agent uses when a file has been uploaded but its content is NOT in your context — only its path at /mnt/user-data/uploads/ is listed in an uploadedfiles block.

    126 GitHub starsUsed in 1 repo~3.1k tokens
    Auto-check passed
  • PDF Reading

    Wide-Moat/open-computer-use

    A skill your agent uses when you need to read, inspect, or extract content from PDF files — especially when file content is NOT in your context and you need to read it from disk.

    126 GitHub starsUsed in 1 repo~2.7k tokens
    Auto-check passed
  • Describe Image

    Wide-Moat/open-computer-use

    Describe images (charts, diagrams, tables, screenshots) using Vision AI.

    126 GitHub stars~732 tokensUpdated 2 days ago
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Questions about Sub Agent

What does Sub Agent do?

COSTLY: Spawns a separate sub-agent CLI session. An agent skill from Wide-Moat/open-computer-use. Sub Agent is an agent skill from Wide-Moat/open-computer-use. COSTLY: Spawns a separate sub-agent CLI session.

When should I use Sub Agent?

Sub Agent fits situations like: any task completable in fewer than 10 tool calls; tasks that involve Subagents.

How do I install Sub Agent in Claude Code?

Run `npx skills add Wide-Moat/open-computer-use --skill sub-agent -a claude-code`. Or copy the skill folder (skills/public/sub-agent in Wide-Moat/open-computer-use) into .claude/skills/sub-agent in your project. Claude Code loads it when a task matches its description.

How do I install Sub Agent in Codex?

Run `npx skills add Wide-Moat/open-computer-use --skill sub-agent -a codex`. Or copy the skill folder (skills/public/sub-agent in Wide-Moat/open-computer-use) into .agents/skills/sub-agent in your project. Codex loads it when a task matches its description.

Can I use Sub Agent 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 Wide-Moat/open-computer-use --skill sub-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sub-agent, .gemini/skills/sub-agent, .github/skills/sub-agent and .opencode/skills/sub-agent in your project.

What does Sub Agent need to run?

Going by SKILL.md and its folder, Sub Agent needs a shell for the scripts in its folder and the command-line tools its instructions call (bash and claude). Our summary lists: Python 3; A Bash shell.

Does Sub Agent access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sub Agent 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Sub Agent use?

Sub Agent has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Sub Agent use?

About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Sub Agent?

Skills that share tags, products or a category with Sub Agent: O2 Review Loop (openobserve/openobserve, 22k stars), Kimi Code Delegation (CherryHQ/cherry-studio, 52k stars), V2 Perf Iteration (mirage-project/mirage, 2.5k stars) and Clone App Pat Pro (per-simmons/clone-app-pat-pro-public, 259 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sub Agent?

Wide-Moat (a GitHub organization) maintains it in Wide-Moat/open-computer-use, which has 126 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 5, 2026.

Source: Wide-Moat/open-computer-use on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.