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 malue-ai/dazee-small --skill zettelkastengit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/zettelkasten)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/zettelkasten"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/zettelkasten/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/malue-ai/dazee-small/zettelkasten"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/zettelkasten.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 | $0.00025 | $0.00783 |
| Opus 5 | $0.00013 | $0.00392 |
| Sonnet 5 | $0.00005 | $0.00157 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
zettelkasten 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 9d 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
卡片笔记法（Zettelkasten）
用卢曼卡片笔记法管理知识：原子化笔记、双向链接、渐进式涌现洞察。
使用场景
- 用户说「帮我做读书笔记」「用卡片笔记法整理这个概念」
- 用户说「这个概念和之前那个有什么关联」
- 用户说「看看我的笔记之间有什么联系」
- 用户在学习新知识时想建立系统化的知识网络
执行方式
卡片结构
每张卡片存储为 Markdown 文件，放在 ~/Documents/xiaodazi/zettelkasten/ 目录：
---
id: "202602261430"
title: "间隔重复的遗忘曲线"
tags: [学习方法, 记忆]
links: ["202602251000", "202602201530"]
created: "2026-02-26T14:30:00"
---
间隔重复基于艾宾浩斯遗忘曲线：新学的知识在 24 小时内遗忘 70%，
但每次复习都会延长记忆保持时间。
最佳复习间隔：1天 → 3天 → 7天 → 14天 → 30天
与 [[202602251000]] 主动回忆 结合效果最好。
参见 [[202602201530]] Anki 间隔算法。
核心操作
创建卡片：
用户：帮我记一个笔记——间隔重复利用遗忘曲线原理，通过在最佳时间点复习来巩固记忆
→ 生成唯一 ID（时间戳格式）
→ 提取关键概念作为标签
→ 搜索已有卡片，建议可能的关联
→ 创建 Markdown 文件
→ 回复：卡片已创建 ✅「间隔重复的遗忘曲线」
可能相关：「主动回忆」「Anki 间隔算法」，要链接吗？
发现关联：
用户：看看我关于学习方法的笔记有什么联系
→ 检索标签为「学习方法」的所有卡片
→ 分析内容相关性
→ 生成知识图谱概览：
主动回忆 ←→ 间隔重复
↓ ↓
费曼技巧 ←→ 遗忘曲线
搜索与浏览：
# 全文搜索
grep -rl "间隔重复" ~/Documents/xiaodazi/zettelkasten/
# 按标签
grep -l "tags:.*学习方法" ~/Documents/xiaodazi/zettelkasten/*.md
卡片原则
- 原子性：每张卡片只包含一个概念
- 用自己的话写：不要直接复制粘贴
- 建立链接：每张新卡片至少链接一张已有卡片
- 持续增长：不追求完美，先写再完善
输出规范
- 创建时自动建议关联卡片
- 每张卡片简短（100-300 字）
- 链接使用
[[ID]]格式 - 定期生成知识图谱概览，帮助用户发现意外关联
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.
- 9d ago First seen · 94 lines · 25 tokens per session scan A 7691d7a24cdb
zettelkasten is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 783 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 2026-09-03.
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