parallel-dispatch

parallel-dispatch is a skill for Claude Code, Codex from jmagly/aiwg. It costs 23 tokens per session (1,565 once invoked), scanned A, original, MIT.

A coordination tool that starts several agents at the same time, gathers their results, and handles timeouts. Fan-out orchestration means sending related work to multiple agents in parallel.

In plain words
What is it for?
Use it for parallel reviews, evaluations, or other workflows where several agents work independently on shared context.
Why use it?
It removes the need to start and monitor each agent separately. It also provides a way to collect results when some agents take too long.

Skill for Claude CodeCodex

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

Good fit Use it for parallel reviews, evaluations, or other workflows where several agents work independently on shared context.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jmagly/aiwg/parallel-dispatch
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 jmagly/aiwg --skill parallel-dispatch
Clone the repo
git clone --depth 1 https://github.com/jmagly/aiwg

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 parallel-dispatch

README.md
[![agentmods](https://agentmods.dev/badge/skills/jmagly/aiwg/parallel-dispatch/github.svg)](https://agentmods.dev/skills/jmagly/aiwg/parallel-dispatch)
Your own site
<a href="https://agentmods.dev/skills/jmagly/aiwg/parallel-dispatch"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/parallel-dispatch/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 parallel-dispatch

Your own site · 80×15
<a href="https://agentmods.dev/skills/jmagly/aiwg/parallel-dispatch"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/parallel-dispatch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,565 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00023 $0.01565
Opus 5 $0.00012 $0.00783
Sonnet 5 $0.00005 $0.00313
Haiku 4.5 $0.00002 $0.00156

Measured 9d ago against content hash eeca9f713167, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

parallel-dispatch 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/parallel_dispatcher.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

agentic/code/addons/aiwg-utils/skills/parallel-dispatch/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

parallel-dispatch

Generic parallel agent orchestration utility for launching multiple agents concurrently.

Triggers

Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):

  • "fan out" → parallel agent dispatch shorthand
  • "run all [N] in parallel" → explicit parallel execution

Purpose

This skill provides the foundational infrastructure for launching multiple agents in parallel, collecting their results, and handling timeouts. It is used by higher-level skills like artifact-orchestration, review-synthesis, and gate-evaluation.

Behavior

When triggered, this skill:

  1. Parses agent configuration:

    • Agent names (from built-in or custom)
    • Prompt templates for each agent
    • Shared context/artifact reference
    • Timeout settings
  2. Prepares agent-specific prompts:

    • Loads prompt template per agent
    • Injects shared context (artifact path, requirements)
    • Adds output format requirements
  3. Launches agents in parallel:

    • Uses single message with multiple Task tool calls
    • Each agent runs independently
    • No inter-agent communication during execution
  4. Collects results:

    • Waits for all agents or timeout
    • Captures success/failure per agent
    • Structures results for downstream processing
  5. Returns consolidated results:

    • Per-agent output
    • Execution metadata (duration, status)
    • Aggregated insights (if configured)

Configuration Format

dispatch:
  name: "artifact-review"
  timeout: 300  # seconds

  agents:
    - name: security-architect
      prompt: |
        Review the artifact at {artifact_path} for security concerns.
        Focus on: authentication, authorization, data protection, input validation.
        Output format: structured findings with severity ratings.

    - name: test-architect
      prompt: |
        Review the artifact at {artifact_path} for testability.
        Focus on: test coverage gaps, edge cases, integration points.
        Output format: test recommendations with priority.

    - name: requirements-analyst
      prompt: |
        Review the artifact at {artifact_path} for requirements traceability.
        Focus on: requirement coverage, gaps, conflicts.
        Output format: traceability assessment.

  context:
    artifact_path: ".aiwg/architecture/sad.md"
    requirements_path: ".aiwg/requirements/"

  result_format: structured  # or 'raw'
  aggregate: true  # combine findings

Read the full file on GitHub · 277 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. 9d ago First seen · 277 lines · 23 tokens per session scan A eeca9f713167

Subscribe to this mod's changes

parallel-dispatch is a skill published in the GitHub repository jmagly/aiwg (211 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 1,565 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 2026-09-03.