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 luna-jmy/thinkdokit-skills --skill spaced-repetitiongit clone --depth 1 https://github.com/luna-jmy/thinkdokit-skillsWrote 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/luna-jmy/thinkdokit-skills/spaced-repetition)<a href="https://agentmods.dev/skills/luna-jmy/thinkdokit-skills/spaced-repetition"><img src="https://agentmods.dev/badge/skills/luna-jmy/thinkdokit-skills/spaced-repetition/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/luna-jmy/thinkdokit-skills/spaced-repetition"><img src="https://agentmods.dev/badge/skills/luna-jmy/thinkdokit-skills/spaced-repetition.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 | $0.00034 | $0.01123 |
| Opus 5 | $0.00017 | $0.00562 |
| Sonnet 5 | $0.00007 | $0.00225 |
| Haiku 4.5 | $0.00003 | $0.00112 |
Grade A, and why
create_obsidian_flashcards 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 12d 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
核心目标
帮助将用户的笔记、知识点转化为符合 Obsidian Spaced Repetition 插件语法的闪卡(Flashcards),以便在 Obsidian 中进行间隔重复复习。
闪卡基础语法规则
在制作闪卡时,必须遵循以下语法规则:
1. 牌组标签 (Deck Tags)
每一条闪卡必须位于一个带有特定标签的笔记中,这样插件才能识别并将其归入对应的牌组:
- 默认主牌组:
#flashcards - 子牌组:
#flashcards/子牌组名称(例如:#flashcards/计算机网络)
2. 问答卡片 (Q&A Cards)
问答卡分为单行和多行,并且都支持正向(只问一次)和双向(正反面交换问两次)。
单行卡片 (Single-line)
- 单向 (正向): 使用
::分隔问题和答案。- 格式:
问题;;答案 - 示例:
Obsidian 是一款什么软件?;;一款本地知识管理和笔记软件。
- 格式:
- 双向 (正反向): 使用
;;;分隔。卡片会生成两张,一张问问题,一张问答案。- 格式:
问题;;;答案 - 示例:
苹果的英文单词是?;;;Apple
- 格式:
多行卡片 (Multi-line)
适用于问题或答案包含多行文本(如列表、代码块、长段落等)的情况。
- 单向 (正向): 使用
?在单独的一行作为分隔符。注意:分隔符必须单独占一行!- 格式:
这里是多行的问题 可以是代码块或列表 ? 这里是多行的答案
- 格式:
- 双向 (正反向): 使用
??在单独的一行作为分隔符。注意:分隔符必须单独占一行!- 格式:
概念的名称 ?? 概念的详细多行解释
- 格式:
3. 填空卡片 (Cloze Cards)
适用于在一段完整文本中“挖空”关键信息的场景。
- 语法:
花括号: {{被挖空的内容}}
自定义:{{[123::]answer[::hint]}}
- 注意事项: 填空卡片所在的笔记同样需要包含
#flashcards标签。 - 示例:
Obsidian Spaced Repetition 插件默认使用 {{?}} 或者 {{;;}} 来制作多行或单行的闪卡。使用自定义格式制作{{1::Anki::软件名称}}同款{{1::填空::类型}}。
扩展支持
- 富文本: 闪卡内容完全继承 Obsidian 的 Markdown 支持,这意味着你可以使用图片、音频、视频、LaTeX 公式语法(
$$math$$)、代码高亮和脚注。 - 上下文标题: 卡片会自动根据其所在的标题层级生成上下文(如
笔记标题 > 一级标题 > 二级标题),这对于理解卡片的背景很有帮助。
工作流执行步骤
- 分析内容: 阅读用户提供的文本素材或知识点。
- 选择题型: 根据知识的特性选择合适的卡片类型:
- 如果是简短、对应关系明确的知识,使用单行卡片。
- 如果是外语单词或可逆背诵的概念,使用双向卡片。
- 如果是复杂的步骤、代码或解释,使用多行卡片。
- 如果是需要记忆句子中的特定关键词或上下文,使用填空卡片。
- 输出闪卡: 生成对应格式的 Markdown 文本,并确保顶部或合适位置包含
#flashcards或用户指定的牌组标签。- 如果是知识用
#knowledge/{领域}牌组 - 如果是书籍,用
#book/{领域}/{类型}牌组,如#book/AIGC/定义 - 其他用
#flashcards/{领域}牌组
- 如果是知识用
- 审核优化: 确保问题精炼、答案准确无歧义且尽量与原文一致。避免一张卡片包含过多信息(拆分为多张小卡片效果更好)。
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.
- 12d ago First seen · 72 lines · 34 tokens per session scan A 753c1fb92fd4
create_obsidian_flashcards is a skill published in the GitHub repository luna-jmy/thinkdokit-skills (5 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 1,123 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 2026-08-31.
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