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 ntygod/ZhiWei --skill daily-managergit clone --depth 1 https://github.com/ntygod/ZhiWeiWrote 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/ntygod/zhiwei/daily-manager)<a href="https://agentmods.dev/skills/ntygod/zhiwei/daily-manager"><img src="https://agentmods.dev/badge/skills/ntygod/zhiwei/daily-manager/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/ntygod/zhiwei/daily-manager"><img src="https://agentmods.dev/badge/skills/ntygod/zhiwei/daily-manager.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 | $0.00040 | $0.00843 |
| Opus 5 | $0.00020 | $0.00421 |
| Sonnet 5 | $0.00008 | $0.00169 |
| Haiku 4.5 | $0.00004 | $0.00084 |
Grade A, and why
daily-manager 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 10d 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
日常管理指南
按用户表达分流到不同路径，把通用计划/进度/协调收敛在这里。
适用场景
- 主动规划：当天 / 一周 / 一月做什么、按优先级排
- 调整既有：把任务挪到别的时间、改优先级、删 / 撤一项
- 进度回顾：现在做到哪、昨天/上周完成了什么
- 跨领域协作：一句指令涉及多个专业 Skill（调研→写作、读数据→画图）
- 报告生成：日报 / 周报 / 月报 / 多源信息汇总
不适用场景
- 精确时间表达式（"每天早上 8 点"）→ cron-scheduler
- 单一专业领域任务（只写文章 / 只查数据库 / 只调试 API）→ 直接加载对应 Skill，不绕本 Skill
- 闲谈式表达意图（"我打算 X"）→ memory(action="create") 记一笔，不规划
工作流（按用户表达分流）
| 用户表达 | 路径 |
|---|---|
| 主动规划（今天/本周做什么） | 拆 → 排 → 写入 |
| 调整既有（挪、改、撤） | 查 → 改 / 撤 |
| 进度回顾（做到哪、昨天做了啥） | 查 → 汇总，不写入 |
| 跨领域协作（A 然后 B） | 加载多 Skill 串行 |
| 报告生成（日 / 周 / 月报） | 查 → 汇总 → 落盘 |
各路径要点
- 拆 + 排：列任务，按紧急-重要分四档（紧急且重要 / 重要不紧急 / 紧急不重要 / 可暂缓）；列完先跟用户对一下再写入
- 查：
memory(action="search")找事实实体，memory(action="recall")取历史对话片段，组合使用更全 - 写 / 改 / 撤：
memory(action="create" / "update" / "delete")；写入要带截止日、优先级、依赖 - 跨 Skill 协调：
skill_load(names=[...])一次 ≤ 3 个，按依赖串行；前序输出作为后序输入 - 落盘：长期产物（周报、汇总文档）
file_write到工作区或用户指定路径 - 异步通知：用户已离开会话、任务跨多轮才用
notify，会话内回复直接说
协作原则（仅本 Skill 强调）
- 决策节点向用户问，不替用户拍板
- 信息缺失时主动追问，不假设
- 跨 Skill 协调失败（依赖 Skill 不可用 / 中途出错）→ 降级为手动步骤指导
详细参考
- 5 种路径的真实场景示例与分流判据：
{skill_dir}/references/coordination-patterns.md
What ships with it
1 file 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.
- 10d ago First seen · 70 lines · 40 tokens per session scan A 82990ced5e13
daily-manager is a skill published in the GitHub repository ntygod/ZhiWei (138 stars, last pushed 29d ago), licensed MIT. It adds 40 tokens to every session and 843 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.
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