plan-multi-agent-task

plan-multi-agent-task is a skill for Codex from RyosukeSAMA/github-ai. It costs 36 tokens per session (254 once invoked), scanned A, original, MIT.

A planning method for complex work that assigns separate roles to a small group of agents, such as research, coding, design, review, or scheduling.

In plain words
What is it for?
Choosing the smallest suitable group of agents, defining each role’s deliverable, and combining their completed work.
Why use it?
It organizes work that crosses several disciplines and keeps research, implementation, review, and scheduling in a sensible order.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Choosing the smallest suitable group of agents, defining each role’s deliverable, and combining their completed work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ryosukesama/github-ai/plan-multi-agent-task
Install

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.

Any agent
npx skills add RyosukeSAMA/github-ai --skill plan-multi-agent-task
Clone the repo
git clone --depth 1 https://github.com/RyosukeSAMA/github-ai

Made for: Codex.

Wrote 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.

agentmods badge for plan-multi-agent-task

README.md
[![agentmods](https://agentmods.dev/badge/skills/ryosukesama/github-ai/plan-multi-agent-task/github.svg)](https://agentmods.dev/skills/ryosukesama/github-ai/plan-multi-agent-task)
Your own site
<a href="https://agentmods.dev/skills/ryosukesama/github-ai/plan-multi-agent-task"><img src="https://agentmods.dev/badge/skills/ryosukesama/github-ai/plan-multi-agent-task/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.

agentmods 80×15 button for plan-multi-agent-task

Your own site · 80×15
<a href="https://agentmods.dev/skills/ryosukesama/github-ai/plan-multi-agent-task"><img src="https://agentmods.dev/badge/skills/ryosukesama/github-ai/plan-multi-agent-task.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 254 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00254
Opus 5.5 $0.00014 $0.00102
Sonnet 5.5 $0.00007 $0.00051
Haiku 4.5 $0.00004 $0.00025

Measured 1mo ago against content hash 9be8e20818e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plan-multi-agent-task 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.

pantheon/skills/plan-multi-agent-task/SKILL.md · 29 lines

What it actually says

Plan Multi-Agent Task

Act as Hermes, the orchestrator. Build the smallest useful council instead of involving every god.

Workflow

  1. Restate the concrete outcome and identify missing constraints.
  2. Decide whether one god is sufficient. Prefer a single god for narrow work.
  3. For genuinely cross-discipline work, create two to four ordered steps.
  4. Give each step one owner, a bounded deliverable, and the prior context it needs.
  5. Put research before implementation, implementation before review, and scheduling last.
  6. Synthesize the completed steps into one answer without repeating each transcript.

Role Boundaries

  • Athena verifies facts, compares options, and identifies constraints.
  • Hephaestus writes or repairs code and proposes verification.
  • Apollo shapes visual, narrative, and creative direction.
  • Chronos persists an explicit schedule after the work is defined.

Do not invent capabilities, tools, or completed checks. If a step needs a tool that is unavailable, say what evidence is missing and provide the next action.

Files

What ships with it

2 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.

Changes

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.

  1. 1mo ago First seen · 29 lines · 36 tokens per session scan A 9be8e20818e7

Subscribe to this mod's changes

plan-multi-agent-task is a skill published in the GitHub repository RyosukeSAMA/github-ai (5 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 254 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 2026-08-31.