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 feature-doc-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/feature-doc-design)<a href="https://agentmods.dev/skills/protect-my-hair/nucleus-marketplace/feature-doc-design"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/feature-doc-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/feature-doc-design"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/feature-doc-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 | $0.00034 | $0.01690 |
| Opus 5 | $0.00017 | $0.00845 |
| Sonnet 5 | $0.00007 | $0.00338 |
| Haiku 4.5 | $0.00003 | $0.00169 |
Grade A, and why
feature-doc-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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
特性设计文档
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
特性设计先服务产品能力表达，再服务实现计划；设计未被人工评审接受前，不得进入计划、代码或测试。
请求人工设计评审前，必须先按 _shared/references/subagent-precheck-protocol.md 执行 subagentPreReview 子代理预审；未取得“材料可提交人工审查”结论时，不得请求人工接受设计。
什么时候使用
使用本 Skill：特性开发中本 Skill 是每个特性的第一个领域步骤，把当前特性收口为产品仓库里可评审的特性文档和邻近设计文档；必须用当前产品既有 docs/features/** 结构和邻近设计约定作为目标形态，让设计成为可评审 Git diff。
不要使用本 Skill：自创临时特性设计格式或把实现计划混入特性设计产物；写需求设计、源码、测试、提交、推送、PR、发布或缺陷状态变更；在设计获人工评审接受前生成实施计划、源码、测试或正式交付证据。
Checklist
启动本 Skill 后，必须先为每一项创建宿主 todo/task，并按顺序逐项推进、逐项更新状态；Codex 使用计划 / 任务工具，Claude Code 使用 TodoWrite 或等价宿主 todo。.nucleus/runs/**、summary.md、result.json、候选文件和 review report 只能记录事实，不能替代宿主任务、预审或人工设计评审事实。
-
读取 context 和当前特性输入 完成证据：已读
.nucleus/context/<workflowRunId>.json，并确认恰好一个已存在的 primarydocs/features/**/feature.md，或一个 schema 合法、带candidateFeaturePath的 mapping candidate。 STOP：primary 特性歧义、缺输入、受保护写入、legacy 路径、路径逃逸或 schema 失败时FAILED_BLOCKED；缺当前特性输入时ALERT_AND_BLOCK。 -
读取目标产品既有
docs/features/**结构和邻近设计约定 完成证据：当前特性的目标放置路径与邻近设计文档约定记录。 STOP：缺目标docs/features/**放置证据时ALERT_AND_BLOCK，不得自创临时特性设计格式。 -
读取需求设计 / 特性拆解证据 完成证据：相关需求设计与
requirement-decomposition拆解证据引用。 STOP：特性开发调用时缺需求设计或特性拆解输入时ALERT_AND_BLOCK。 -
创建宿主特性设计任务包 完成证据：覆盖本 Checklist 各项的宿主 todo/task。 STOP：未建宿主任务包时，不得写
docs/features/**或调度预审。 -
写可评审特性文档到
docs/features/**完成证据：已读取_shared/references/design-visualization-discipline.md，按当前特性输入判断是否需要 Mermaid 图示；复杂设计使用合适图示说明业务流、数据流、状态、实体关系或跨系统时序，简单设计明确不需要图示；只读 candidateFeaturePath 时创建目标feature.md和同叶子设计文档；写出可评审 docs/features 变更后状态为待评审。 STOP：任何请求在设计评审前生成实施计划或代码时ALERT_AND_BLOCK；不得把 feature design 和 implementation plan 写进同一候选产物。 -
按共享协议执行人审前预审 完成证据：独立 reviewer 子代理
subagentPreReview输出“材料可提交人工审查”，blocking / important 已整改复核。 STOP：按_shared/references/subagent-precheck-protocol.md执行预审；未取得材料可提交人工审查结论前不得请求人工评审。
What ships with it
6 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.
- 12d ago First seen · 90 lines · 34 tokens per session scan A 2f7a469e0fbd
feature-doc-design is a skill published in the GitHub repository protect-my-hair/nucleus-marketplace (162 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 1,690 once invoked, about $0.0002 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…