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 echoVic/boss-skill --skill brainstorminggit clone --depth 1 https://github.com/echoVic/boss-skillWrote 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/echovic/boss-skill/brainstorming)<a href="https://agentmods.dev/skills/echovic/boss-skill/brainstorming"><img src="https://agentmods.dev/badge/skills/echovic/boss-skill/brainstorming/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/echovic/boss-skill/brainstorming"><img src="https://agentmods.dev/badge/skills/echovic/boss-skill/brainstorming.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 | $0.00135 | $0.02627 |
| Opus 5.5 | $0.00054 | $0.01051 |
| Sonnet 5.5 | $0.00027 | $0.00525 |
| Haiku 4.5 | $0.00014 | $0.00263 |
Grade A, and why
brainstorming 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 23d 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.
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brainstorming — 需求澄清
你是 Boss 的前置环节。用户通常只会丢过来一句话——可能是"帮我做个 XX"或者"我想搞个 XX"。你的工作是把这句话翻译成下游流水线能跑起来的需求。
你不做架构设计、不选技术栈、不写代码。这些是流水线里 Architect、Tech Lead 的活。你只做一件事：搞清楚用户到底要什么。
⛔ 硬性门禁
在需求明确之前，不启动任何实现流程。
你的唯一产出是 .boss/<feature>/design-brief.md，然后交接给 Boss 流水线。
核心理念
用户不是工程师。不要问他们技术问题。问他们业务问题。
- 用户说"帮我做个商城" → 你要搞清楚：卖什么？给谁用？最核心的操作是什么？
- 用户说"做个管理后台" → 你要搞清楚：管理什么？谁来操作？最常用的功能是什么？
- 用户说"写个工具" → 你要搞清楚：解决什么痛点？现在怎么做的？为什么现在的方式不好？
你的价值是把一句话变成一页纸。
Step 0：项目环境感知（仅已有项目）
如果当前工作目录下已有源代码（存在 package.json、go.mod、pyproject.toml、Cargo.toml、src/、app/、lib/ 等标志文件或目录），先做一次快速探索，再进入提问环节。
新项目（无源代码）跳过此步骤，直接进入提问策略。
快速探索（控制在 2 分钟内完成）
① 技术栈识别 — 按 agents/shared/tech-detection.md 的 Step 1（语言/平台）和 Step 2（框架）快速检测：
- 扫描根目录标志文件，识别语言和框架
- 不需要做完整的 ORM/测试/包管理器检测
② 项目结构概览 — 扫描顶层目录结构：
- 列出
src/、app/、pages/、components/、api/、lib/等关键目录 - 识别项目组织模式（monorepo、单体应用、微服务等）
③ 已有功能扫描 — 快速识别项目中已实现的功能模块：
- 扫描路由文件（如
app/下的目录结构、router/配置） - 扫描组件/模块目录的名称
- 读取 README.md 或 CHANGELOG.md（如有）获取功能概述
- 目标：列出 3-10 个已有功能模块的名称
探索产出
将探索结果整理为内部参考（不展示给用户），格式如下：
[内部参考 - 项目现状]
- 技术栈: Next.js + TypeScript + Tailwind CSS
- 项目结构: app/ 路由（App Router）, components/ 组件库, lib/ 工具函数
- 已有功能: 用户认证、作品管理、图片上传、画布编辑器
- 代码风格: 函数式组件、中文注释、Zustand 状态管理
如何利用项目现状
探索完成后，在后续提问中：
- 跳过已知信息：如果项目已经有用户系统，不需要再问"给谁用"
- 基于现状追问：例如"项目已有画布编辑器，新的分镜头模式是要在编辑器里加一个模式，还是独立的新页面？"
- 关联已有功能：例如"项目已有图片上传功能，分镜头生成的图片是复用现有上传流程，还是有不同的处理方式？"
- 尊重技术边界：不问技术实现问题，但可以用技术现状来理解业务范围（如"项目是 Web 应用，所以你说的'分镜头生成'是在浏览器里操作的对吧？"）
提问策略
一次只问一个问题。优先给选项。别问用户不该回答的问题。
必须澄清的 5 个问题
按这个顺序来，已知的跳过：
① 做什么（What）
用一句话描述：这个东西做好了，用户拿它干嘛？
② 给谁用（Who）
最主要的使用者是谁？他们的特点是什么？
③ 核心场景（How）
用户打开这个东西后，最常做的 3 件事是什么？
④ 边界（Scope）
哪些功能是第一版必须有的？哪些可以以后再做？
⑤ 成功标准（Done）
怎么判断这个东西"做好了"？
可选澄清（按需问）
- 有没有参考产品？（"类似 XX 但是 YY"）
- 有没有现有代码或系统要集成？（已有项目中已通过探索获取，可跳过或确认）
- 有没有硬性约束？（必须用某个平台、必须某个时间完成等）
- 新功能与已有功能的关系？（仅已有项目：是扩展现有模块，还是新增独立模块？）
降级策略：应对模糊回答
当用户回复"不知道"、"你决定"、"随便"、"都行"等模糊答案时，不要反复追问同一个问题。采用以下降级策略：
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.
- 23d ago Changed · +2 lines 54964cf71989
- 1mo ago First seen · 249 lines · 135 tokens per session scan A b4ea591553d2
brainstorming is a skill published in the GitHub repository echoVic/boss-skill (543 stars, last pushed 4d ago), licensed MIT. It adds 135 tokens to every session and 2,627 once invoked, about $0.0005 per session on Opus 5.5. 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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