parallelize

parallelize is a command for coding agents from Goldziher/ai-rulez. It costs 8 tokens per session (60 once invoked), scanned A, original, MIT.

A command for splitting independent work among multiple subagents, which are separate AI workers handling assigned parts of a task.

In plain words
What is it for?
Use it to divide independent research, coding, checking, or other task parts among subagents and coordinate their results.
Why use it?
It can reduce waiting when tasks do not depend on one another. It also requires checking dependencies first so related work is not started in an unsafe order.

Command

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 commands/goldziher/ai-rulez/parallelize
Clone the repo
git clone --depth 1 https://github.com/Goldziher/ai-rulez

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 parallelize

README.md
[![agentmods](https://agentmods.dev/badge/commands/goldziher/ai-rulez/parallelize.svg)](https://agentmods.dev/commands/goldziher/ai-rulez/parallelize)
Your own site
<a href="https://agentmods.dev/commands/goldziher/ai-rulez/parallelize"><img src="https://agentmods.dev/badge/commands/goldziher/ai-rulez/parallelize.svg" alt="Measured on agentmods" height="20"></a>
Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 60 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00008 $0.00060
Opus 5 $0.00004 $0.00030
Sonnet 5 $0.00002 $0.00012
Haiku 4.5 $0.00001 $0.00006

Measured 4d ago against content hash c1d8be0ba63c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

parallelize 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 4d 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.

internal/builtins/universal/default-commands/commands/parallelize.md · 9 lines

What it actually says

Split tasks among subagents. Analyze dependencies first — only parallelize truly independent work. Choose appropriate subagents, ensure each has full context, coordinate results.

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. 4d ago First seen · 9 lines · 8 tokens per session scan A c1d8be0ba63c

Subscribe to this mod's changes

parallelize is a command published in the GitHub repository Goldziher/ai-rulez (139 stars, last pushed 10d ago), licensed MIT. It adds 8 tokens to every session and 60 once invoked, about $0.0000 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.