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.
npx skills add bobmatnyc/claude-mpm-skills --skill dispatching-parallel-agentsgit clone --depth 1 https://github.com/bobmatnyc/claude-mpm-skillsWrote 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.
[](https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/dispatching-parallel-agents)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/dispatching-parallel-agents"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/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.
<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/dispatching-parallel-agents"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/dispatching-parallel-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.01445 |
| Opus 5 | $0.00009 | $0.00723 |
| Sonnet 5 | $0.00004 | $0.00289 |
| Haiku 4.5 | $0.00002 | $0.00145 |
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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dispatching Parallel Agents
Overview
When multiple unrelated failures occur (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 This Skill
Activate this skill when facing:
- 3+ test files failing with different root causes
- Multiple subsystems broken independently
- Each problem is self-contained - can be understood without context from others
- No shared state between investigations
- Clear domain boundaries - fixing one won't affect others
Don't use when:
- Failures are related (fix one might fix others)
- Need to understand full system state first
- Agents would interfere with each other (editing same files)
- Exploratory debugging (don't know what's broken yet)
The Iron Law
One agent, one problem domain, one clear outcome.
Never overlap scopes. Never share state. Always integrate consciously.
Core Principles
Independence is Key
Problems must be truly independent - no shared files, no related root causes, no dependencies between fixes.
Focus Over Breadth
Each agent gets narrow scope: one test file, one subsystem, one clear goal. Broad tasks lead to confusion.
Clear Output Required
Every agent must return a summary: what was found, what was fixed, what changed. No silent fixes.
Conscious Integration
Don't blindly merge agent work. Review summaries, check conflicts, run full suite, verify compatibility.
Quick Start
1. Identify Independent Domains
Group failures by what's broken:
File A tests: Tool approval flow
File B tests: Batch completion behavior
File C tests: Abort functionality
Each domain is independent - fixing tool approval doesn't affect abort tests.
2. Create Focused Agent Tasks
Each agent gets:
- Specific scope: One test file or subsystem
- Clear goal: Make these tests pass
- Constraints: Don't change other code
- Expected output: Summary of what you found and fixed
What ships with it
5 files 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.
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.
- 9d ago First seen · 184 lines · 18 tokens per session scan A 04910f84b131
dispatching-parallel-agents is a skill published in the GitHub repository bobmatnyc/claude-mpm-skills (75 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 1,445 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.
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