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 New1Direction/korgex --skill delegating-to-subagentsgit clone --depth 1 https://github.com/New1Direction/korgexWrote 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/new1direction/korgex/delegating-to-subagents)<a href="https://agentmods.dev/skills/new1direction/korgex/delegating-to-subagents"><img src="https://agentmods.dev/badge/skills/new1direction/korgex/delegating-to-subagents/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/new1direction/korgex/delegating-to-subagents"><img src="https://agentmods.dev/badge/skills/new1direction/korgex/delegating-to-subagents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00019 | $0.00258 |
| Opus 5 | $0.00010 | $0.00129 |
| Sonnet 5 | $0.00004 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
delegating-to-subagents 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.
What it actually says
When a task has independent parts, delegate them to subagents (the Agent tool)
instead of doing everything in one context. Each gets an isolated context window,
so you stay focused on coordination.
- Decide if it fits. Use subagents when parts are INDEPENDENT (different files/subsystems/bugs) and can run without each other's intermediate state. If they share tightly-coupled state, do it inline instead.
- Scope each one tightly. Give each subagent: a single clear goal, the exact context it needs (don't assume it sees this conversation), constraints ("don't touch X"), and what to return. Narrow scope = reliable result.
- Dispatch in parallel for independent work; sequential only when one depends on another's output.
- Aggregate. Read each result, reconcile conflicts, and verify the combined result yourself — subagents can make systematic mistakes. Then run the suite.
- Keep the user's view current: reflect delegated work in your task checklist.
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 · 23 lines · 19 tokens per session scan A 6f49d94771dc
delegating-to-subagents is a skill published in the GitHub repository New1Direction/korgex (5 stars, last pushed 2mo ago), licensed MIT. It adds 19 tokens to every session and 258 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 2026-08-31.
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