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 personal-todogit 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/personal-todo)<a href="https://agentmods.dev/skills/hydah/thequeen/personal-todo"><img src="https://agentmods.dev/badge/skills/hydah/thequeen/personal-todo/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/personal-todo"><img src="https://agentmods.dev/badge/skills/hydah/thequeen/personal-todo.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 | $0.00102 | $0.01083 |
| Opus 5.5 | $0.00041 | $0.00433 |
| Sonnet 5.5 | $0.00020 | $0.00217 |
| Haiku 4.5 | $0.00010 | $0.00108 |
Grade A, and why
personal-todo 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
Personal Todo
Overview
将短周期任务放在 todo/ 这个运行层目录里管理。核心目标不是做复杂的项目管理系统，而是用最少文件、最少规则、最顺手的 Markdown 推进日常工作。
维护 4 个主文件 + 1 个导航入口：
todo/today.md：今天真正要推进的事todo/pending.md：还没做完、但需要继续跟踪的任务池todo/completed.md：已完成记录，按日期从新到旧追加todo/archive.md：搁置或取消的事项index/todo.md：Obsidian 导航入口
When to Use
- 用户想看今天应该做什么
- 用户想新增、完成、搁置、取消或调整任务优先级
- 用户想把讨论产出的行动项转成待办
- 用户说"记一个待办"、"帮我记"、"提醒我"、"别忘了"等
Workspace Contract
格式约定
- 优先使用 Markdown checklist：
- [ ] 任务描述 ｜P1｜记录于：YYYY-MM-DD today.md始终原地更新，不按日期新建多个文件pending.md只放未完成项completed.md只放完成项，按日期追加，最新在最上archive.md只放搁置/取消项
优先级
P0：今天必须推进P1：应该推进，当前主线P2：有余力再做
Workflow
Step 0: 日期校验（每次操作前必须执行）
- 读取
todo/today.md，提取标题中的日期 - 与当前日期对比
- 日期不匹配 → 先执行 Step 5（每日刷新）
Step 1: 确认已初始化
检查 todo/today.md 等文件是否存在，缺失则创建。
Step 2: 查看今日待办
- 读取
todo/today.md - 按 P0/P1/P2/今日已完成 四段输出
- 同时读取
todo/pending.md，列出不在 today 中的补充 - 输出完成率
Step 3: 添加任务
- 判断优先级（默认 P1）
- 默认同时写入
today.md和pending.md - 用户说"明天/不急/排期" → 只写
pending.md
Step 4: 完成任务
- 从
today.md删除，移到"今日已完成" - 从
pending.md删除 - 追加到
completed.md对应日期下
Step 5: 每日刷新
当日期不匹配时自动执行：
- 提取旧 today 的未完成项和已完成项
- 已完成项归档到
completed.md - 用新日期重写
today.md：结转未完成 + 拉入 pending 中的 P0/P1 - P2 不自动拉入
Step 6: 搁置或取消
从 today.md 和 pending.md 删除，追加到 archive.md。
Step 7: 调整优先级
在 pending.md 和 today.md 中同步移动到新的优先级分区。
Step 8: 每日收束
- 统计今天已完成与未完成
- 输出：今天推进了什么、还有什么没完成、明天最值得继续的 1-3 件事
Editing Rules
- 修改任何文件前先读取目标文件
- 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
- 同类操作尽量批量完成
- 避免整文件覆盖已有待办文件
Quality Checklist
-
today.md和pending.md数据一致 - 完成的任务已从 today/pending 删除，已在 completed 归档
- 任务格式统一
- 日期校验通过
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 · 112 lines · 102 tokens per session scan A 0dc825e99f19
personal-todo is a skill published in the GitHub repository hydah/thequeen (2 stars, last pushed 6mo ago), licensed MIT. It adds 102 tokens to every session and 1,083 once invoked, about $0.0004 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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