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 hydah/thequeen --skill thequeengit clone --depth 1 https://github.com/hydah/thequeenWrote 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/hydah/thequeen/thequeen)<a href="https://agentmods.dev/skills/hydah/thequeen/thequeen"><img src="https://agentmods.dev/badge/skills/hydah/thequeen/thequeen/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/hydah/thequeen/thequeen"><img src="https://agentmods.dev/badge/skills/hydah/thequeen/thequeen.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 | $0.00134 | $0.04368 |
| Opus 5.5 | $0.00054 | $0.01747 |
| Sonnet 5.5 | $0.00027 | $0.00874 |
| Haiku 4.5 | $0.00013 | $0.00437 |
Grade A, and why
personal-workspace-bootstrap 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 2mo 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 — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personal Workspace Bootstrap
Overview
将一个空仓库或已有仓库，初始化为"面向 Obsidian + AI 的个人工作台"。
这不是复制某个固定模板，而是建立一套轻量核心 + 按需模块的适应性架构。核心只有一件事：把日常工作变成可升级的长期资产。
自包含承诺：本 skill 不依赖环境中的任何其他 skill、脚本或外部工具。只要有本目录，就能从零产出完整的工作台。
两种初始化方式
方式 1：AI 辅助初始化（推荐） 在 AI 工具中触发本 skill，按 Workflow 交互式引导完成。适合想要定制化配置的场景。
方式 2：脚本一键初始化 不依赖 AI 工具，直接命令行执行：
python3 scripts/bootstrap.py /path/to/workspace --role engineer --tool claude --tool codebuddy
支持的角色：engineer、manager、creator、general（默认）。
支持的工具：claude、codebuddy、workbuddy、copilot、cursor、windsurf。
脚本是幂等的：已有文件默认不会被覆盖；bootstrap.md、index/dashboard.md 和 skills/README.md 的生成 section 会在增量装配时做最小同步。
说明：
- 不传
--tool时，脚本只负责补骨架 - 传入一个或多个
--tool时，脚本会额外创建入口文件与运行时 symlink - 如果请求接入的入口文件已存在但目标不对，脚本会显式报冲突并以非零状态退出，不会假装接入成功
- 脚本不会自动迁移已有 Markdown；已有仓库改造优先走 AI 辅助模式
- 多次运行是增量叠加，不会自动卸载此前角色带来的目录、starter skill 或运行时链接
三层资产模型
无论你的角色是什么，工作台都由三层组成：
实例层（Working Memory） ← 当前正在处理的具体事务
↓ 提炼
沉淀层（Reusable Assets） ← 从实例中总结出的可复用方法
↓ 自动化
能力层（Automated Skills） ← 把稳定流程封装成 AI 可执行的 Skill
资产升级规则（不变）：
- 第一次出现 → 写成实例（
tech/、issue/、question/等） - 第二次复用 → 提炼为
playbook/或templates/ - 第三次且流程稳定 → 升级为
skills/
角色
初始化时，先判断用户的主要角色，再决定启用哪些模块。
| 角色 | 典型工作 | 推荐重点模块 |
|---|---|---|
| Engineer | 写代码、做设计、排查 Bug、学习新技术 | tech/, issue/, projects/, playbook/ |
| Manager | 开会、做决策、跟进客户、带团队 | meeting/, decision/, customers/, review/ |
| Creator | 写作、研究、内容生产 | drafts/, research/, ideas/ |
| General | 混合角色，刚开始搭建 | 只保留最小核心，随使用自然生长 |
重要：角色不是互斥的。角色决定的是初始最小集，后续按需添加模块即可。
补充说明：scratch/ 和 todo/ 作为跨角色运行层，会对所有角色创建，以保证 bundled starter skills 第一天就可用。
Workflow
Step 1: 收集最小必要上下文
如果用户没有明确说明，先确认三件事：
- 你的主要角色是什么？（engineer / manager / creator / general）
- 当前是从零开始，还是在已有笔记/仓库上改造？
- 你最希望 AI 帮你的三件事是什么？
不要追问更多；这三点足以确定初始结构。
Step 2: 判断"从零初始化"还是"就地改造"
先扫描仓库现状：
- 是否已有
README.md或类似入口？ - 是否已有散落的 Markdown 文件？
- 是否已有某种目录结构？
What ships with it
5 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.
- 2mo ago First seen · 361 lines · 134 tokens per session scan A f7e958a08e2b
personal-workspace-bootstrap is a skill published in the GitHub repository hydah/thequeen (2 stars, last pushed 6mo ago), licensed MIT. It adds 134 tokens to every session and 4,368 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 2026-08-31.
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A process for turning the current conversation into a detailed feature specification and publishing it to the project’s issue tracker.
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