dispatching-parallel-agents

dispatching-parallel-agents is a skill for Codex from jamditis/claude-skills-journalism. It costs 26 tokens per session (1,559 once invoked), scanned A, a copy of dispatching-parallel-agents, MIT.

A method for sending separate coding tasks to separate agents at the same time. It is intended for problems that do not share state or depend on one another.

In plain words
What is it for?
Use it to divide independent test failures, bugs, or subsystem investigations among parallel agents.
Why use it?
It avoids investigating unrelated failures one after another and keeps each agent focused on one problem area.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Claude Code.

Part of the superjawn plugin — 14 skills shipped together

Good fit Use it to divide independent test failures, bugs, or subsystem investigations among parallel agents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jamditis/claude-skills-journalism/dispatching-parallel-agents
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 jamditis/claude-skills-journalism --skill dispatching-parallel-agents
Clone the repo
git clone --depth 1 https://github.com/jamditis/claude-skills-journalism

Made for: Codex.

Or install superjawn, the plugin that ships this one along with the rest of its 14 skills.

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/jamditis/claude-skills-journalism/dispatching-parallel-agents/github.svg)](https://agentmods.dev/skills/jamditis/claude-skills-journalism/dispatching-parallel-agents)
Your own site
<a href="https://agentmods.dev/skills/jamditis/claude-skills-journalism/dispatching-parallel-agents"><img src="https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/dispatching-parallel-agents/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 dispatching-parallel-agents

Your own site · 80×15
<a href="https://agentmods.dev/skills/jamditis/claude-skills-journalism/dispatching-parallel-agents"><img src="https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/dispatching-parallel-agents.svg" alt="Reviewed on agentmods" width="80" 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 1,559 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 88% copy Near-identical to another mod 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 $0.00026 $0.01559
Opus 5 $0.00013 $0.00779
Sonnet 5 $0.00005 $0.00312
Haiku 4.5 $0.00003 $0.00156

Measured 3d ago against content hash 561cd73861aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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.

Origin

This is a copy

88% identical to dispatching-parallel-agents — 44 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

superjawn/skills/dispatching-parallel-agents/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dispatching Parallel Agents

Overview

You delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history, you construct exactly what they need. This also preserves your own context for coordination work.

When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel.

Core principle: Dispatch one agent per independent problem domain. Let them work concurrently.

When to Use

digraph when_to_use {
    "Multiple failures?" [shape=diamond];
    "Are they independent?" [shape=diamond];
    "Single agent investigates all" [shape=box];
    "One agent per problem domain" [shape=box];
    "Can they work in parallel?" [shape=diamond];
    "Sequential agents" [shape=box];
    "Parallel dispatch" [shape=box];

    "Multiple failures?" -> "Are they independent?" [label="yes"];
    "Are they independent?" -> "Single agent investigates all" [label="no - related"];
    "Are they independent?" -> "Can they work in parallel?" [label="yes"];
    "Can they work in parallel?" -> "Parallel dispatch" [label="yes"];
    "Can they work in parallel?" -> "Sequential agents" [label="no - shared state"];
}

Use when:

  • 3+ test files failing with different root causes
  • Multiple subsystems broken independently
  • Each problem can be understood without context from others
  • No shared state between investigations

Read the full file on GitHub · 192 lines

Files

What ships with it

1 file 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. 3d ago First seen · 192 lines · 26 tokens per session scan A 561cd73861aa

Subscribe to this mod's changes

dispatching-parallel-agents is a skill published in the GitHub repository jamditis/claude-skills-journalism (389 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 1,559 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to dispatching-parallel-agents, differing in 44 lines, and is treated as a copy.

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