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 zhaixin244-wq/fnw --skill subagent-driven-developmentgit clone --depth 1 https://github.com/zhaixin244-wq/fnwWrote 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/zhaixin244-wq/fnw/subagent-driven-development)<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/subagent-driven-development"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/subagent-driven-development/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/zhaixin244-wq/fnw/subagent-driven-development"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/subagent-driven-development.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 | $0.00021 | $0.03259 |
| Opus 5 | $0.00010 | $0.01630 |
| Sonnet 5 | $0.00004 | $0.00652 |
| Haiku 4.5 | $0.00002 | $0.00326 |
Grade A, and why
subagent-driven-development 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- subagent-driven-development — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
子智能体驱动开发
通过为每个任务分派一个全新的子智能体来执行计划,每个任务完成后进行两阶段审查:先审查规格合规性,再审查代码质量。
为什么用子智能体: 你将任务委派给具有隔离上下文的专用智能体。通过精心设计它们的指令和上下文,确保它们专注并成功完成任务。它们不应继承你的会话上下文或历史记录——你要精确构造它们所需的一切。这样也能为你自己保留用于协调工作的上下文。
核心原则: 每个任务一个全新子智能体 + 两阶段审查(先规格后质量)= 高质量、快速迭代
何时使用
digraph when_to_use {
"有实现计划?" [shape=diamond];
"任务基本独立?" [shape=diamond];
"留在当前会话?" [shape=diamond];
"subagent-driven-development" [shape=box];
"executing-plans" [shape=box];
"手动执行或先头脑风暴" [shape=box];
"有实现计划?" -> "任务基本独立?" [label="是"];
"有实现计划?" -> "手动执行或先头脑风暴" [label="否"];
"任务基本独立?" -> "留在当前会话?" [label="是"];
"任务基本独立?" -> "手动执行或先头脑风暴" [label="否 - 紧密耦合"];
"留在当前会话?" -> "subagent-driven-development" [label="是"];
"留在当前会话?" -> "executing-plans" [label="否 - 并行会话"];
}
与 Executing Plans(并行会话)的对比:
- 同一会话(无上下文切换)
- 每个任务全新子智能体(无上下文污染)
- 每个任务后两阶段审查:先规格合规性,再代码质量
- 更快的迭代(任务间无需人工介入)
流程
digraph process {
rankdir=TB;
subgraph cluster_per_task {
label="每个任务";
"分派实现子智能体 (./implementer-prompt.md)" [shape=box];
"实现子智能体有疑问?" [shape=diamond];
"回答问题,提供上下文" [shape=box];
"实现子智能体实现、测试、提交、自审" [shape=box];
"分派规格审查子智能体 (./spec-reviewer-prompt.md)" [shape=box];
"规格审查子智能体确认代码匹配规格?" [shape=diamond];
"实现子智能体修复规格差距" [shape=box];
"分派代码质量审查子智能体 (./code-quality-reviewer-prompt.md)" [shape=box];
"代码质量审查子智能体通过?" [shape=diamond];
"实现子智能体修复质量问题" [shape=box];
"在 TodoWrite 中标记任务完成" [shape=box];
}
"读取计划,提取所有任务的完整文本,记录上下文,创建 TodoWrite" [shape=box];
"还有剩余任务?" [shape=diamond];
"分派最终代码审查子智能体审查整体实现" [shape=box];
"使用 superpowers:finishing-a-development-branch" [shape=box style=filled fillcolor=lightgreen];
"读取计划,提取所有任务的完整文本,记录上下文,创建 TodoWrite" -> "分派实现子智能体 (./implementer-prompt.md)";
"分派实现子智能体 (./implementer-prompt.md)" -> "实现子智能体有疑问?";
"实现子智能体有疑问?" -> "回答问题,提供上下文" [label="是"];
"回答问题,提供上下文" -> "分派实现子智能体 (./implementer-prompt.md)";
"实现子智能体有疑问?" -> "实现子智能体实现、测试、提交、自审" [label="否"];
"实现子智能体实现、测试、提交、自审" -> "分派规格审查子智能体 (./spec-reviewer-prompt.md)";
"分派规格审查子智能体 (./spec-reviewer-prompt.md)" -> "规格审查子智能体确认代码匹配规格?";
"规格审查子智能体确认代码匹配规格?" -> "实现子智能体修复规格差距" [label="否"];
"实现子智能体修复规格差距" -> "分派规格审查子智能体 (./spec-reviewer-prompt.md)" [label="重新审查"];
"规格审查子智能体确认代码匹配规格?" -> "分派代码质量审查子智能体 (./code-quality-reviewer-prompt.md)" [label="是"];
"分派代码质量审查子智能体 (./code-quality-reviewer-prompt.md)" -> "代码质量审查子智能体通过?";
"代码质量审查子智能体通过?" -> "实现子智能体修复质量问题" [label="否"];
"实现子智能体修复质量问题" -> "分派代码质量审查子智能体 (./code-quality-reviewer-prompt.md)" [label="重新审查"];
"代码质量审查子智能体通过?" -> "在 TodoWrite 中标记任务完成" [label="是"];
"在 TodoWrite 中标记任务完成" -> "还有剩余任务?";
"还有剩余任务?" -> "分派实现子智能体 (./implementer-prompt.md)" [label="是"];
"还有剩余任务?" -> "分派最终代码审查子智能体审查整体实现" [label="否"];
"分派最终代码审查子智能体审查整体实现" -> "使用 superpowers:finishing-a-development-branch";
}
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.
- 5d ago First seen · 278 lines · 21 tokens per session scan A 464444bc0537
subagent-driven-development is a skill published in the GitHub repository zhaixin244-wq/fnw (28 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 3,259 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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