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 setupgit 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/setup)<a href="https://agentmods.dev/skills/protect-my-hair/nucleus-marketplace/setup"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/setup/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/setup"><img src="https://agentmods.dev/badge/skills/protect-my-hair/nucleus-marketplace/setup.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 | $0.00028 | $0.01792 |
| Opus 5 | $0.00014 | $0.00896 |
| Sonnet 5 | $0.00006 | $0.00358 |
| Haiku 4.5 | $0.00003 | $0.00179 |
Grade A, and why
setup 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup
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）。
setup 是用户主入口。它对人呈现一次 setup 体验，内部仍然编排 target-repo-setup 和 host-tool-setup，不合并两者职责边界。
使用原则
- 用户主要使用本 Skill；
target-repo-setup和host-tool-setup保留为内部能力或高级入口。 target-repo-setup只初始化目标仓库资产，不检查、不安装、不配置宿主工具。host-tool-setup只处理宿主工具检查、规划、确认、验证和回滚证据，不写目标业务产物。- 计划已生成不代表安装成功。仓库初始化完成不代表工具可用。
- 用户主动执行 setup 后，仓库初始化默认继续执行；遇到冲突、路径风险或宿主工具写配置风险时才停下来确认。
- 宿主工具真实可用只能由
verify证据证明。 - 总结果必须分别记录目标仓库初始化和宿主工具状态；目标仓库成功不等于宿主工具成功。
- 如果
hostTools.status不是SUCCEEDED，当前 agent 不得结束本轮 setup 回复；必须读取host-tool-setup/references/host-tool-install-session.md和host-tool-setup/references/tool-installation.md，按共享子代理预审协议（_shared/references/subagent-precheck-protocol.md）完成subagentPreReview并确认材料可提交人工审查，再继续发起安装确认和执行。
未按宿主任务逐项完成 inspect、plan、approval、apply、verify、build-result 和必要的宿主工具安装复验时，不得把 summary.md、result.json 或 setup plan 当作 setup 终态。
内部 target-repo-setup 或 host-tool-setup 到达人工审查点时，必须先按 _shared/references/subagent-precheck-protocol.md 完成 subagentPreReview 预审并取得"材料可提交人工审查"结论；未预审不得请求人工审批或评审通过。
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、等待确认或需要复验一项，都必须逐项更新状态；任何等待确认若涉及人工审查点，仍必须先有 subagentPreReview 且材料可提交人工审查。
- 执行 inspect：同时执行目标仓库只读检查（preflight）和宿主工具只读检查（inspect）。
- 执行 plan：生成统一 setup plan，说明 target scopes、host scopes、默认动作和风险。
- 执行 approval --auto-defaults：由 setup 入口生成本轮默认确认事实；遇到冲突、路径风险或用户级配置风险时停住确认。
- 执行 apply：默认写入 AGENTS.md 受控规则区块、初始化
.ac工作目录，并为缺失宿主工具生成安装和验证引导。 - 处理 apply 阻塞或安装引导：冲突、越界或用户级配置风险必须停住；宿主工具缺失时按
_shared/references/subagent-precheck-protocol.md完成subagentPreReview并确认材料可提交人工审查，再进入安装确认。 - 执行 verify：统一验证目标仓库初始化状态和宿主工具真实状态。
- 执行 build-result：生成
.nucleus/runs/<workflowRunId>/setup-entry/result.json和summary.md。 - 复核宿主工具状态：如果宿主工具仍缺失或未验证，读取安装会话 reference，按
_shared/references/subagent-precheck-protocol.md完成subagentPreReview并确认材料可提交人工审查，再发起安装确认、执行安装 / 配置 / 激活 / 索引，并重新运行 verify 和 build-result。
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 · 76 lines · 28 tokens per session scan A 7c483bdc17fc
setup is a skill published in the GitHub repository protect-my-hair/nucleus-marketplace (162 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 1,792 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.
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…