dispatching-parallel-agents

dispatching-parallel-agents is a skill for Claude Code, Codex from GeonheeYe/multi-agent-dotfiles. It costs 26 tokens per session (1,453 once invoked), scanned A, original, no licence file.

A method for sending two or more independent tasks to separate agents so they can be worked on at the same time.

In plain words
What is it for?
Use it to coordinate parallel agent work on separate tasks that can be completed independently.
Why use it?
It helps divide work when the tasks do not depend on shared files, results, or a fixed order.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/geonheeye/multi-agent-dotfiles/dispatching-parallel-agents
Any agent
npx skills add GeonheeYe/multi-agent-dotfiles --skill dispatching-parallel-agents
Clone the repo
git clone --depth 1 https://github.com/GeonheeYe/multi-agent-dotfiles

Made for: Claude Code, 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 dispatching-parallel-agents

README.md
[![agentmods](https://agentmods.dev/badge/skills/geonheeye/multi-agent-dotfiles/dispatching-parallel-agents.svg)](https://agentmods.dev/skills/geonheeye/multi-agent-dotfiles/dispatching-parallel-agents)
Your own site
<a href="https://agentmods.dev/skills/geonheeye/multi-agent-dotfiles/dispatching-parallel-agents"><img src="https://agentmods.dev/badge/skills/geonheeye/multi-agent-dotfiles/dispatching-parallel-agents.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,453 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00026 $0.01453
Opus 5 $0.00013 $0.00727
Sonnet 5 $0.00005 $0.00291
Haiku 4.5 $0.00003 $0.00145

Measured 3d ago against content hash 76806091c7f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dispatching-parallel-agents 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 3d 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.

skills/dispatching-parallel-agents/SKILL.md · 183 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 183 lines · 26 tokens per session scan A 76806091c7f9

Subscribe to this mod's changes

dispatching-parallel-agents is a skill published in the GitHub repository GeonheeYe/multi-agent-dotfiles (3 stars, last pushed 15d ago), with no licence file. It adds 26 tokens to every session and 1,453 once invoked, about $0.0001 per session on Opus 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.

Related

Other skills, from other repositories

review-all

Use when the user asks for a deep review, full review, comprehensive review, production readiness assessment, full audit, multi-domain audit, "security and reliability and code review", or "review everything". Also use when the user explicitly requests performance review alongside the comprehensive request (e.g.…

paultyng/skill-issue · 102 tokens

active-review

Use when the user wants to prepare for a manual PR code review and asks for help targeting it — a terse PR summary, ranked files to read first, and paste-ready inline comment drafts with GitHub deep-links. Triggers: "active review this PR", "walk me through this PR", "help me review this", "give me inline comments to…

paultyng/skill-issue · 157 tokens

evaluate-dependency

Use when adding or evaluating a project dependency in any language, phrases like "should I use X library", "evaluate ", "what library for Y", or when reviewing a PR that touches a manifest (go.mod, package.json, requirements.txt, pyproject.toml, Cargo.toml, Gemfile, mix.exs, composer.json). Also use when comparing…

paultyng/skill-issue · 149 tokens

review-security

Perform a security review using STRIDE threat modeling, OWASP Top 10 analysis, and automated scanning (gosec, govulncheck). Use when the user asks for a security review, threat model, OWASP analysis, or security audit.

paultyng/skill-issue · 54 tokens

audit-accomplishments

Use when preparing a performance self-reflection, midyear or annual review, promotion packet, or brag document; when asked to collect, mine, gather, or summarize your accomplishments, contributions, or impact over a period; or when assembling cited evidence of work done across GitHub, Jira, Notion, Slack, and local…

paultyng/skill-issue · 78 tokens

audit-history

Use when reviewing past agent sessions, auditing memory health, identifying repeated corrections or friction, cleaning up stale memories, proposing new skills and rules from usage patterns, or identifying mechanical improvements (testing, linting, static analysis, tooling) that could improve outcomes.

paultyng/skill-issue · 54 tokens