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 pioneerdotai/pioneer --skill subagentsgit clone --depth 1 https://github.com/pioneerdotai/pioneerWrote 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/pioneerdotai/pioneer/subagents)<a href="https://agentmods.dev/skills/pioneerdotai/pioneer/subagents"><img src="https://agentmods.dev/badge/skills/pioneerdotai/pioneer/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/pioneerdotai/pioneer/subagents"><img src="https://agentmods.dev/badge/skills/pioneerdotai/pioneer/subagents.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 | $0.00054 | $0.02022 |
| Opus 5 | $0.00027 | $0.01011 |
| Sonnet 5 | $0.00011 | $0.00404 |
| Haiku 4.5 | $0.00005 | $0.00202 |
Grade A, and why
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 yesterday.
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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pioneer Attached Subagents
Attached subagents are task-backed child agents created to help with the current user turn. They do focused work in hidden child threads, but the parent agent owns the user-facing outcome.
A child result is evidence, not the final user answer, until the parent reviews it, accepts it, integrates it, or deliberately rejects/routes it elsewhere.
The initiating thread is the original user-facing conversation. A subagent executes in an internal child thread; its parent may also be a child. Results pass through the assigned reviewer before becoming part of the user-facing answer.
Product Model
Use this skill for immediate delegation only:
- parallel investigation;
- independent verification;
- focused review;
- independent file/system/hypothesis inspection;
- work that should block the parent answer until reviewed.
Do not use this skill for scheduled, recurring, future, or long-running background work. For durable future/background tasks, read system:pioneer/tasks.
Quick Start
Before delegating, decide whether attached subagents improve the current answer.
- If the user needs one direct answer and the work is small, tightly coupled, or sequential, do it in the parent turn.
- If independent focused work improves speed, coverage, verification, or auditability, create attached subagents.
- Create all independent child tasks first.
- Call
task_waituntil the next child result is terminal or requires review. - Review every returned terminal or review-required result immediately. Use the candidate's
reviewContent; if it is truncated or no longer present in context, read the exact candidate again withtask_result. - Accept good candidates, revise close-but-incomplete candidates, cancel irrelevant or unsafe candidates, or detach work that should no longer block the parent.
- Call
task_waitagain for the remaining active runs and repeat the review cycle until all child work is resolved. - Synthesize the parent answer from accepted results and direct parent work.
What ships with it
3 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.
- yesterday Changed · +6 lines 21a892534380
- 10d ago First seen · 168 lines · 54 tokens per session scan A 9269af41f356
subagents is a skill published in the GitHub repository pioneerdotai/pioneer (12 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 2,022 once invoked, about $0.0003 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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