A skill your agent uses when a plan has parallel tasks and the harness supports dispatching subagents.

Apache-2.0Auto-check passedAgent Workflows

Install Subagents

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill subagents -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins subagents --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ouonet/praxis/skills/subagents .claude/skills/subagents && 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
subagents
GitHub stars
1.2k
Token cost
~1.1k tokens
SKILL.md length
478 words
Files
1
Skills in repo
686
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when a plan has parallel tasks and the harness supports dispatching subagents.

  • A plan has parallel tasks and the harness supports dispatching subagents
  • SKILL.md covers Dispatch: reference, don't copy, Loop per task, Status and Model tier, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Subagents

What it does

Subagents is an agent skill from hashgraph-online/awesome-codex-plugins. Use when a plan has parallel tasks and the harness supports dispatching subagents.

Its SKILL.md is about 1.1k 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 Agent Workflows, covering Subagents. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • A plan has parallel tasks and the harness supports dispatching subagents
  • Tasks that involve Subagents

Example prompts

  • “/subagents”

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Subagents loads about 1.1k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 478 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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

The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 478 words, ~1,065 tokens.

Download SKILL.mdSave it as .claude/skills/subagents/SKILL.md (or your agent's skills folder).
name
subagents
description
Use when a plan has parallel tasks and the harness supports dispatching subagents.

Subagents

If topology=multi-module (triage announcement or coordinator spec/plan declaration), read ../references/multi-module.md.

Fresh context per task. No session history.

Dispatch: reference, don't copy

Subagents have file-read tools. Don't inline what they can read.

TASK: <one sentence>
ROLE: <implementer | spec-reviewer | quality-reviewer>
MODEL: <fast | balanced | strongest>
REPOSITORY: <registered repo id and path>
MODULE: <module id and root>
FILES: <paths>
SPEC: <docs/staging/specs/...#anchor>
ACCEPTANCE: <test or cmd>
EXTRA: <only what's NOT in referenced files>

ROLE is required. See role charters below for what each role owns and does not own.

MODEL is optional. Omitted → uses harness default. Resolution: .praxis/model-tiers.yaml in project root or user home maps the three tiers (fast, balanced, strongest) to concrete model IDs. No config file → all subagents use harness default.

Pasting >10 lines from the spec? Stop - let the subagent read it.

Expand milestone → atomic steps at dispatch time, not in the plan.

One task has one repository and module write scope. Agents may read shared coordinator contracts, but must not edit another module or repository. Never dispatch two writers to overlapping module roots. Integration tasks are dispatched only after every required module reports local acceptance.

Loop per task

implementer → on DONE: spec-reviewer (matches spec?) → quality-reviewer (review) → mark complete, continue. The coordinator marks - [x], never the subagent.

Status

  • DONE_WITH_CONCERNS - address if correctness; note if observation.
  • NEEDS_CONTEXT - supply the fact, re-dispatch.
  • BLOCKED - diagnose (missing context / stronger model / too big / plan wrong). Never silently retry.

Model tier

MODEL: fast | balanced | strongest — optional, omitted → harness default.

Resolved via .praxis/model-tiers.yaml in project root or user home. Template at Praxis repo root: model-tiers.example.yaml.

The coordinator decides the tier at dispatch time based on task complexity — it is not hardcoded per role. The role charters below list defaults; override when:

ScenarioTierExamples
Mechanical edits, simple checksfastrename a constant, fix a typo, pattern-match review
Standard implementation, single-file featurebalancedadd a function, modify one module, write routine tests
Multi-file refactor, concurrency/state-machine, safety reviewstrongestimplement a protocol, review crash-recovery, cross-module integration
Show full SKILL.md (189 more words)Show less

Role charters

implementer
  • Owns: writing the minimum code to make the acceptance test pass (GREEN phase). This includes writing the failing test first (RED), then the implementation (GREEN), then refactoring within the changed files.
  • Does NOT own: expanding scope beyond the task, adding abstractions not required by the current test, touching files outside FILES, marking the task complete.
  • Default tier: balanced. Override to fast for mechanical edits, strongest for multi-file protocol/state-machine implementation.
  • On DONE: hands off to spec-reviewer.
spec-reviewer
  • Owns: verifying implementation matches every contract and acceptance criterion in SPEC. Reports drift with file:line references.
  • Does NOT own: suggesting improvements beyond the spec, checking code quality, re-running tests.
  • Default tier: fast. Override to balanced when spec has ≥3 cross-referencing rules or state enums.
  • On DONE_WITH_CONCERNS: coordinator decides whether to address or note.
quality-reviewer
  • Owns: running review skill against the diff — convention compliance, simplification opportunities, idiomatic patterns, security, scope.
  • Does NOT own: re-verifying spec compliance (already done), re-running acceptance tests (already done).
  • Default tier: strongest. Override to balanced for single-file changes where deep reasoning is unnecessary.
  • On DONE: task is complete. Coordinator marks - [x].

All done → review whole diff → ship.

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/ouonet/praxis/skills/subagents of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Subagents 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.

Subagents compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Subagents this skillhashgraph-online/awesome-codex-plugins1.2k—~1.1kAutomated safety check: PassApache-2.0
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25841 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

Similar skills

  • Claude Code Agent Development

    anthropics/claude-plugins-official

    Official

    Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.

    38k GitHub starsUsed in 8 repos~2.8k tokens
    Agent WorkflowsAuto-check passed
  • Subagent Driven Development

    Asvarox/allkaraoke

    A skill your agent uses when executing implementation plans with independent tasks in the current session

    261 GitHub starsUsed in 38 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Dispatching Parallel Agents

    ultralisp/ultralisp

    A skill your agent uses when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

    258 GitHub starsUsed in 41 repos~1.5k tokens
    Agent WorkflowsAuto-check passed
  • Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.

    20k GitHub starsUsed in 1 repo~756 tokens
    Agent WorkflowsAuto-check passed
  • Task Observer

    rebelytics/one-skill-to-rule-them-all

    Monitors task execution for skill improvement opportunities.

    3.2k GitHub starsUsed in 1 repo~12k tokens
    Agent WorkflowsAuto-check passed
  • 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
    Agent WorkflowsAuto-check passed

More from hashgraph-online/awesome-codex-plugins

All 686 skills in this repo
  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.2k GitHub stars~922 tokensUpdated today
    Auto-check passed
  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.2k GitHub stars~1k tokensUpdated today
    Auto-check passed
  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.2k GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.2k GitHub stars~2.4k tokensUpdated today
    Auto-check passed
  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.2k GitHub stars~618 tokensUpdated today
    Auto-check passed
  • Manuscript Engagement Analytics

    hashgraph-online/awesome-codex-plugins

    Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…

    1.2k GitHub stars~875 tokensUpdated today
    Auto-check passed

Categories

Questions about Subagents

What does Subagents do?

A skill your agent uses when a plan has parallel tasks and the harness supports dispatching subagents. Subagents is an agent skill from hashgraph-online/awesome-codex-plugins. Use when a plan has parallel tasks and the harness supports dispatching subagents.

When should I use Subagents?

Subagents fits situations like: A plan has parallel tasks and the harness supports dispatching subagents; tasks that involve Subagents.

How do I install Subagents in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill subagents -a claude-code`. Or copy the skill folder (plugins/ouonet/praxis/skills/subagents in hashgraph-online/awesome-codex-plugins) into .claude/skills/subagents in your project. Claude Code loads it when a task matches its description.

How do I install Subagents in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill subagents -a codex`. Or copy the skill folder (plugins/ouonet/praxis/skills/subagents in hashgraph-online/awesome-codex-plugins) into .agents/skills/subagents in your project. Codex loads it when a task matches its description.

Can I use Subagents 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 hashgraph-online/awesome-codex-plugins --skill subagents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/subagents, .gemini/skills/subagents, .github/skills/subagents and .opencode/skills/subagents in your project.

What does Subagents need to run?

SKILL.md names no scripts, command-line tools or credentials: Subagents is instructions for the agent only.

Does Subagents 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 Subagents 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 Subagents use?

Subagents is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Subagents use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Subagents?

Skills that share tags, products or a category with Subagents: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Subagents?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.