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 scratchgit 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/scratch)<a href="https://agentmods.dev/skills/hydah/thequeen/scratch"><img src="https://agentmods.dev/badge/skills/hydah/thequeen/scratch/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/scratch"><img src="https://agentmods.dev/badge/skills/hydah/thequeen/scratch.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 | $0.00133 | $0.01075 |
| Opus 5.5 | $0.00053 | $0.00430 |
| Sonnet 5.5 | $0.00027 | $0.00215 |
| Haiku 4.5 | $0.00013 | $0.00108 |
Grade A, and why
scratch 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.
What it actually says
Scratch
Overview
低门槛的临时信息捕获区。核心解决两个问题:不丢东西和被定期消化。
与 todo/ 的区别:
- todo 是行动承诺("我要做这件事"),scratch 是信息捕获("我注意到了这个")
- todo 有优先级和完成状态,scratch 只有"待处理/已处理"
- scratch 条目可以升级为 todo,也可以升级为 question/tech/issue/decision 等正式实例
单文件设计:scratch/scratch.md——不用想文件名,一屏看完所有待处理项,因为有消化机制不会无限膨胀。
When to Use
- 用户随口提到一个问题,但还不值得开
question/ - 用户有个临时想法或灵感,还没想清楚
- 用户观察到某个现象,不是 todo 也不是 issue,但应该记下来
- 用户说"记一下"、"想到个事"、"有个问题"、"有个想法"等
不应触发本 skill 的场景:
- 用户明确说"加个 todo" → 路由到
personal-todo - 用户有明确的结构化问题要分析 → 路由到
question/或deep-questioner
Workspace Contract
- 速记文件固定为
scratch/scratch.md - 不创建其他文件(条目升级后,正式文档创建在目标目录)
- 两个分区:
## 待处理和## 已处理 - 每条速记格式:
- YYYY-MM-DD | 🏷️ 一句话描述💡想法/灵感❓问题/疑问👀观察/信号🔗线索/参考💭随想/杂念
Workflow
Step 1: 判断操作类型
| 意图 | 操作 |
|---|---|
| 空参数 / "看看" | 查看速记 |
| 一句话描述 | 添加速记 |
| "升级" / "展开" | 升级速记为正式文档 |
| "丢弃" / "不要了" | 丢弃速记 |
| "清理" | 批量清理 |
Step 2: 添加速记
- 自动判断类型标签(含"?"→❓,含"可以/如果"→💡,含"发现/注意到"→👀,含"链接/文章"→🔗,其他→💭)
- 在
## 待处理区末尾追加 - 使用当前日期
Step 3: 升级速记
- 匹配待处理区的目标条目
- 判断升级方向(question/tech/issue/decision/todo/playbook)
- 创建正式文档(如有模板则使用)
- 建立双向链接:scratch 中记录
→ [[目标文档路径]],目标文档标注来源 - 将条目从"待处理"移到"已处理"
Step 4: 丢弃速记
将条目移到"已处理",标注 → 已丢弃:<原因>
Step 5: 批量清理
- 读取所有待处理条目
- 标出超过 7 天未处理的条目
- 逐条建议:升级 / 丢弃 / 保留
Editing Rules
- 修改前必须先读取目标文件
- 优先使用当前 AI 工具提供的最小粒度编辑能力做精确修改
- scratch skill 只允许写
scratch/scratch.md - 升级操作创建的正式文档遵循目标目录的命名约定
- 不创建临时文件、备份文件
- 不要整文件覆盖已有的
scratch/scratch.md
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 · 89 lines · 133 tokens per session scan A 3908e3eaa15f
scratch is a skill published in the GitHub repository hydah/thequeen (2 stars, last pushed 6mo ago), licensed MIT. It adds 133 tokens to every session and 1,075 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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