subagent-engineering

subagent-engineering is a skill for Claude Code, Codex from xobotyi/cc-foundry. It costs 35 tokens per session (2,651 once invoked), scanned A, original, MIT.

A guide to designing subagents, which are separate AI runs with their own instructions and context. It covers when to delegate work, how to restrict a run, and how to write its starting prompt.

In plain words
What is it for?
Use it to create or maintain Claude Code subagents, choose their tools or model limits, and design the instructions and output they return.
Why use it?
It helps decide when isolation is useful and prevents paying the cost of a separate run when the work needs shared context or conversation.

Skill for Claude CodeCodex

Part of the ai-helpers plugin — 5 skills shipped together

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 skills/xobotyi/cc-foundry/subagent-engineering
Any agent
npx skills add xobotyi/cc-foundry --skill subagent-engineering
Clone the repo
git clone --depth 1 https://github.com/xobotyi/cc-foundry

Made for: Claude Code, Codex.

Or install ai-helpers, the plugin that ships this one along with the rest of its 5 skills.

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-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/xobotyi/cc-foundry/subagent-engineering.svg)](https://agentmods.dev/skills/xobotyi/cc-foundry/subagent-engineering)
Your own site
<a href="https://agentmods.dev/skills/xobotyi/cc-foundry/subagent-engineering"><img src="https://agentmods.dev/badge/skills/xobotyi/cc-foundry/subagent-engineering.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,651 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 $0.00035 $0.02651
Opus 5 $0.00017 $0.01326
Sonnet 5 $0.00007 $0.00530
Haiku 4.5 $0.00003 $0.00265

Measured 4d ago against content hash 624f8945bf02, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

subagent-engineering 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.

plugins/ai-helpers/skills/subagent-engineering/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

A subagent is a separate context with its own system prompt. It inherits none of the caller's conversation, and everything it reads is discarded when it stops — only what it returns survives. Isolation is the reason to pay for one, and the return value is the entire product.

Delegate only where the isolation pays

  • Delegate work whose output is far larger than its conclusion — a wide search, a long file, a verbose test run. The caller pays for the summary instead of the transcript.
  • Delegate to restrict, too. A tool allowlist or a cheaper model binds the whole run, which no instruction inside the main conversation achieves.
  • Keep the work in the main conversation when it needs back-and-forth, when several phases share the same context, or when the change is small and targeted. A subagent starts cold: it pays in startup latency and in rediscovering what the caller already knows.
  • Write a skill instead when the artifact wanted is reusable instruction text that runs in the caller's own context. A skill carries procedure; a subagent carries a context boundary.
  • A subagent runs its own system prompt; an output style modifies the main agent's. A style appends its body to the session prompt and, under keep-coding-instructions: false, drops the # Doing tasks section — it never gives the work a context of its own.
  • Check the built-ins before writing a definitionExplore for read-only search on Haiku, Plan for read-only research, and general-purpose, which is what an Agent call gets when it names no type.
  • A subagent cannot spawn a subagent. Every fan-out is decided by the caller, so an agent that discovers more work reports it rather than delegating it.

Read the full file on GitHub · 162 lines

Files

What ships with it

7 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.

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 · 162 lines · 35 tokens per session scan A 624f8945bf02

Subscribe to this mod's changes

subagent-engineering is a skill published in the GitHub repository xobotyi/cc-foundry (20 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 2,651 once invoked, about $0.0002 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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