card-outline SKILL.md skillA

card-outline from helixnow/deep-student is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add helixnow/deep-student/card-outline@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
helixnow/deep-student
Path
docs/research/anki-ai-native/agents/skills/card-outline/SKILL.md
Versions recorded
1
Latest version
v0.1.0, committed Aug 29, 2026
Size
1,999 bytes
Repository stars
303
License
AGPL-3.0

制卡大纲方法论:从学习材料抽取最小知识单元、决策卡型、切分粒度并排优先级,产出可直接喂给 chatanki_run 的结构化大纲.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 制卡大纲方法论(card-outline)

本技能沉淀 `content-curator` 子代理的方法论,也可被主代理直接激活使用。

## 最小知识单元(Minimum Information Principle)

一个知识单元 = 一个可独立判定对错的事实。切分检验法:

1. **单问单答**:能用一个不含并列连词的问句问出来。
2. **答案封闭**:答案唯一或有限枚举,不是开放式论述。
3. **出处可溯**:能指到材料的具体章节/页码。

不满足任一条 → 继续拆分或放弃入卡。

## 卡型决策

- **Basic**:术语↔定义、因果、对比差异点。定义类默认建议正反双向(term→def、def→term 各一张)。
- **Cloze**:陈述句中有天然空位(公式变量、参数值、步骤名、专名)。每卡挖空组 ≤ 3;整句挖空 = 反模式。
- **多步流程**:N 步流程拆成 N 张「第 k 步是什么」或一组顺序 Cloze,禁止单卡背整表。
- **图形/结构**:标注 `vlm_light` / `vlm_full` 路由建议,交由 chatanki 管线处理,大纲层不做图像切分。

## 去重策略

- 先在大纲内部去重(同义改写合并),再对工作区存量(`rag_search` / `unified_search`)标注 `dup_risk`。
- 去重只标注不删除:删除决策权在父代理/用户。

## 优先级

`P0` = 材料反复强调 + 高遗忘代价(公式、参数、易混点);`P1` = 常规考点;`P2` = 背景/扩展。生成时建议按 P0→P1 顺序入卡,P2 由用户决定。

## 输出

统一使用 `content-curator.md` 中的「输出契约」表格结构:材料概览 → 知识点清单 → 建议 goal 文本 → 风险与遗留。

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add helixnow/deep-student/card-outline@sha256:6ea93299cc0c9ba1

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_cll7ctnwyzqh5y3h.svg)](https://markdownregistry.com/a/art_cll7ctnwyzqh5y3h)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 29, 2026.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-08-29 ccb5eb6 1,999 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1999 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

helixnow/deep-student · 303 stars · license AGPL-3.0 · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cll7ctnwyzqh5y3h
GET https://markdownregistry.com/api/v1/resolve?ref=helixnow/deep-student/card-outline
GET https://markdownregistry.com/api/v1/blob/6ea93299cc0c9ba14834c91f0c389bf445627b97521f198354a878bf5c595649

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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