subagent-coordination

subagent-coordination is a skill for Claude Code, Codex from omnigentx/jarvis. It costs 29 tokens per session (440 once invoked), scanned A, original, MIT.

A set of instructions for coordinating multiple coding agents on software tasks. It covers when to delegate work in parallel or in sequence, and how to review each result.

In plain words
What is it for?
It helps split work into focused assignments, dispatch independent tasks together, handle dependent tasks step by step, and check the results before continuing.
Why use it?
It reduces confusion when several agents work on related tasks by defining clear scopes, handoffs, and review points.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit It helps split work into focused assignments, dispatch independent tasks together, handle dependent tasks step by step, and check the results before continuing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/omnigentx/jarvis/subagent-coordination
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 omnigentx/jarvis --skill subagent-coordination
Clone the repo
git clone --depth 1 https://github.com/omnigentx/jarvis

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 subagent-coordination

README.md
[![agentmods](https://agentmods.dev/badge/skills/omnigentx/jarvis/subagent-coordination.svg)](https://agentmods.dev/skills/omnigentx/jarvis/subagent-coordination)
Your own site
<a href="https://agentmods.dev/skills/omnigentx/jarvis/subagent-coordination"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/subagent-coordination.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 440 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 $0.00029 $0.00440
Opus 5 $0.00015 $0.00220
Sonnet 5 $0.00006 $0.00088
Haiku 4.5 $0.00003 $0.00044

Measured 8d ago against content hash ab0d40bf1b91, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

subagent-coordination 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 8d 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.

backend/.fast-agent/skills/subagent-coordination/SKILL.md · 61 lines

What it actually says

Subagent Coordination

Inspired by NeoLabHQ/subagent-driven-development.

Patterns for effectively coordinating multi-agent task execution.

Core Principle

Fresh context per task + review between tasks = high quality, fast iteration.

Execution Patterns

Sequential (Tightly Coupled Tasks)

When tasks depend on each other:

  1. Dispatch one task at a time
  2. Review output after each task
  3. Only proceed when current task passes review
  4. Fix issues before moving to next task

Parallel (Independent Tasks)

When tasks are independent:

  1. Group tasks by domain (different files, subsystems)
  2. Dispatch one agent per domain
  3. Review all outputs together after completion
  4. Check for conflicts between parallel changes

Task Dispatch Best Practices

Good Task Prompts

  • Focused — One clear problem domain
  • Self-contained — All context needed is included
  • Specific about output — What should the agent return?
  • Constrained — "Don't change files outside of X"

Bad Task Prompts

  • ❌ Too broad: "Fix all the tests"
  • ❌ No context: "Fix the race condition"
  • ❌ No constraints: Agent might refactor everything
  • ❌ Vague output: "Fix it"

Review Checkpoints

After each task or batch:

  1. Read summary — Understand what changed
  2. Check for conflicts — Did agents edit the same code?
  3. Run verification — Tests, lint, build
  4. Spot check — Review critical changes manually

In Meeting Context

As PM in a meeting:

  • Assign clear tasks to DEV: "Implement X in file Y"
  • Ask QE to review after DEV completes
  • If FAIL verdict, direct DEV to fix specific issues
  • Track progress across turns
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. 8d ago First seen · 61 lines · 29 tokens per session scan A ab0d40bf1b91

Subscribe to this mod's changes

subagent-coordination is a skill published in the GitHub repository omnigentx/jarvis (37 stars, last pushed 12d ago), licensed MIT. It adds 29 tokens to every session and 440 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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