dispatching-parallel-agents

dispatching-parallel-agents is a skill for Claude Code, Codex from porcupine-md/jonggrang. It costs 26 tokens per session (685 once invoked), scanned A, original, MIT.

A workflow for assigning independent development or testing tasks to multiple agents at the same time.

In plain words
What is it for?
Use it to split unrelated bug fixes, feature work, or test repairs across separate files and combine the results afterward.
Why use it?
It can reduce waiting when separate problems do not depend on one another, while file ownership rules help prevent conflicting edits.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to split unrelated bug fixes, feature work, or test repairs…

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

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/porcupine-md/jonggrang/dispatching-parallel-agents.svg)](https://agentmods.dev/skills/porcupine-md/jonggrang/dispatching-parallel-agents)
Your own site
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/dispatching-parallel-agents"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/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 685 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 $0.00026 $0.00685
Opus 5 $0.00013 $0.00342
Sonnet 5 $0.00005 $0.00137
Haiku 4.5 $0.00003 $0.00068

Measured 7d ago against content hash 577cca1f976a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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/core/dispatching-parallel-agents/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

When you have multiple independent failures or tasks that don't depend on each other, dispatch them in parallel. This skill defines how to identify, split, and recombine parallel work.

Step 1: Independence Check

Tasks are independent if:

  • They don't read each other's outputs
  • They don't write to the same files
  • They don't share database transactions
task-A modifies src/auth.ts
task-B modifies src/payments.ts
task-C modifies src/notifications.ts
→ All independent → dispatch in parallel
task-A creates User model
task-B creates Auth that imports User
→ task-B blocked_by task-A → serial only

Step 2: Parallel Dispatch via Task Tool

Use the Task tool to spawn multiple agents simultaneously:

Spawn Task 1: {role: "developer", task: "implement auth module", files: ["src/auth.ts"]}
Spawn Task 2: {role: "developer", task: "implement payments module", files: ["src/payments.ts"]}
Spawn Task 3: {role: "tester",    task: "fix auth-abort.test.ts failures", files: ["tests/auth-abort.test.ts"]}

These run concurrently. Time to resolution: 1× instead of 3×.

Step 3: File Lock Protocol

To prevent race conditions, each parallel agent registers its file ownership:

Lock file: .jonggrang/locks/{agentId}.lock

{
  "agent_id": "developer-auth-001",
  "role": "developer",
  "files": ["src/auth.ts", "src/auth.test.ts"],
  "acquired_at": "2024-01-01T00:00:00Z"
}

Before writing any file:

  1. Check if a lock exists for that file by another agent
  2. If locked → add to your blocked list, skip for now
  3. If unlocked → write your lock file, proceed

After completing task:

  1. Remove your lock file

Step 4: Recombination

After all parallel agents complete:

  1. Collect all outputs (JSON results from each agent)
  2. Check for conflicts:
    • Same function modified by two agents → manual resolution needed
    • Imports added to same file → merge required
  3. Run tests across the full set to verify no integration issues

Use This Skill For

Read the full file on GitHub · 97 lines

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. 7d ago First seen · 97 lines · 26 tokens per session scan A 577cca1f976a

Subscribe to this mod's changes

dispatching-parallel-agents is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed 11d ago), licensed MIT. It adds 26 tokens to every session and 685 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 2026-08-30.

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