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 protect-my-hair/nucleus-marketplace --skill requirement-designgit clone --depth 1 https://github.com/protect-my-hair/nucleus-marketplaceWrote 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/protect-my-hair/nucleus-marketplace/requirement-design)<a href="https://agentmods.dev/skills/protect-my-hair/nucleus-marketplace/requirement-design"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/requirement-design/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/protect-my-hair/nucleus-marketplace/requirement-design"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/requirement-design.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 | $0.00022 | $0.02867 |
| Opus 5 | $0.00011 | $0.01434 |
| Sonnet 5 | $0.00004 | $0.00573 |
| Haiku 4.5 | $0.00002 | $0.00287 |
Grade A, and why
requirement-design 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 12d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
需求设计
前置：使用本 Skill 前，先按
using-nucleus完成 Nucleus 入口识别（Claude Code 会话由插件 SessionStart hook 自动注入该纪律）。
核心原则
需求设计是已接纳需求的编排 Skill：它保留任务纪律、人工门禁和写入边界，具体设计深度、写作方法和压力场景下沉到 references / assets。
Checklist
启动本 Skill 后，必须先为以下每一项创建宿主 todo/task，并按顺序执行；Codex 使用计划 / 任务工具，Claude Code 使用 TodoWrite 或等价宿主 todo。每完成、阻塞或等待一项都必须逐项更新状态。.nucleus/runs/<workflowRunId>/requirement-design/tasks.json 和 tasks.md 只是镜像证据，不能替代宿主任务、人工选择、人工评审或 PMS 状态。
- 读取需求事实：读取 PRD、需求分析、
evaluation.md、接纳事实和需求目录；缺接纳事实时ALERT_AND_BLOCK。 - 建立宿主任务列表：把本 Checklist 同步成当前会话的宿主 todo/task；未同步前不得调用下游 Skill。
- 读取需求尺寸并选择模板：读取
evaluation.md的"需求尺寸"，按references/design-depth-by-size.md选择对应尺寸模板；缺尺寸、低置信或事实变更时 STOP。 - 生成方案候选：调用
requirement-solution-design按需求尺寸和设计深度生成；XS 不伪造候选，S 以主方案为主，M/L 强制 2-3 个候选，XL 只产出方向和验证计划。 - 呈现方案并等待选择：在对话中呈现候选、取舍和推荐理由，遵循
_shared/references/interaction-format.md的选择型格式（含完整度评分和选错代价）；缺明确选择时 STOP。 - 生成需求实现方案：只基于已选方案生成；方案选定后只复核设计深度，不重算需求尺寸。
- 完成人审前预审和尺寸化方案评审：按
_shared/references/subagent-precheck-protocol.md调度独立 reviewer 子代理并记录subagentPreReview；确认材料可提交人工审查后，再按尺寸等待轻量复核、人工评审、架构风险评审或 discovery / spike 评审。 - 生成产品子需求拆分：仅在方案评审通过后执行；非跨产品必须记录跳过事实。
- 完成尺寸化子需求评审：XS/S 可记录非跨产品跳过事实，M 保持子需求复核，L 必须覆盖子需求和架构风险评审，XL 停在能力域拆分或 spike 评审。
- 生成特性拆解方案和计划：所有尺寸都必须有特性归属 / 特性拆解；XS/S 可压缩，M/L 必须完整四段式，XL 只到能力域和拆分计划。
- 完成尺寸化特性拆解评审：XS/S 做轻量复核，M/L 做特性拆解方案评审，XL 记录不得直接进入 feature-doc-design 的阻塞事实；缺事实时 STOP。
- 输出最终拆解结果：基于已评审方案输出需求到特性的拆解结果和
feature-doc-design输入，不再发起同口径二次确认。 - 写入设计文档并移交：按
references/design-writing-method.md和选定尺寸模板写入正式docs/requirement/<req-id-slug>/design.md；XL 只移交 discovery / spike / 子需求拆分输入，不得移交开发准备。
What ships with it
15 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.
- agents/openai.yaml 116 B
- assets/l-design-template.md 4.4 KB
- assets/m-design-template.md 5.1 KB
- assets/nucleus-requirement-design-task-list.schema.json 7.4 KB
- assets/requirement-design-task-list-template.md 1.6 KB
- assets/s-design-template.md 2.5 KB
- assets/xl-discovery-template.md 3.4 KB
- assets/xs-design-template.md 2.0 KB
- references/blocker-matrix.md 1.1 KB
- references/design-depth-by-size.md 6.7 KB
- references/design-writing-method.md 5.9 KB
- references/pressure-scenarios.md 1.9 KB
- references/red-flags.md 1.4 KB
- references/task-orchestration.md 1.6 KB
- scripts/requirement_design.py 26 KB runs code
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.
- 12d ago First seen · 96 lines · 22 tokens per session scan A edae23c3d60f
requirement-design is a skill published in the GitHub repository protect-my-hair/nucleus-marketplace (162 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 2,867 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 2026-08-30.
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