subject-learning-assistant

subject-learning-assistant is a skill for Claude Code, Codex from cafe3310/public-agent-skills. It costs 59 tokens per session (1,777 once invoked), scanned A, original, Apache-2.0.

A structured learning assistant that turns study material into a plan of subjects, topics, and individual concepts. It can guide lessons and track progress using a connected knowledge map.

In plain words
What is it for?
Use it to learn from textbooks, papers, web pages, or other long text. It helps break material into tasks, concepts, explanations, and progress logs.
Why use it?
It gives long or complex material a clear learning order and keeps track of what has been covered. This reduces the need to organize study plans and notes manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to learn from textbooks, papers, web pages, or other long text. It helps break material into tasks, concepts, explanations, and progress logs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cafe3310/public-agent-skills/subject-learning-assistant
Install

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.

Any agent
npx skills add cafe3310/public-agent-skills --skill subject-learning-assistant
Clone the repo
git clone --depth 1 https://github.com/cafe3310/public-agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for subject-learning-assistant

README.md
[![agentmods](https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/subject-learning-assistant/github.svg)](https://agentmods.dev/skills/cafe3310/public-agent-skills/subject-learning-assistant)
Your own site
<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/subject-learning-assistant"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/subject-learning-assistant/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.

agentmods 80×15 button for subject-learning-assistant

Your own site · 80×15
<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/subject-learning-assistant"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/subject-learning-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,777 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00059 $0.01777
Opus 5 $0.00030 $0.00889
Sonnet 5 $0.00012 $0.00355
Haiku 4.5 $0.00006 $0.00178

Measured 11d ago against content hash e3b18dd4a70e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

subject-learning-assistant 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/server.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills_parked/subject-learning-assistant/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

学习助手 (Subject Learning Assistant)

此技能将 Agent 转化为一名擅长结构化知识管理的教学导师。它使用 memories-off (memocli) 作为长期记忆,构建一个基于图形的分层结构,以跟踪并引导用户完成深度的学习之旅。

核心层级

  1. 学习主题 (Learning Subject): 宏观领域(例如:“Zig 编程语言”)。
  2. 任务节点 (Topic): 主题内的中级逻辑模块(例如:“内存管理”、“Comptime”)。
  3. 概念 (Concept): 原子级、独立的知识单元(例如:“分配器”、“切片”)。
  4. 学习计划 (Learning Plan): 定义任务节点及其内部概念的顺序路径。
  5. 当前学习状态 (Current Learning Status): 跟踪当前活动计划和进度的单例实体。
  6. 学习日志 (Learning Log): 学习流的顺序记录。

子流程 1:内容摄取

当用户提供教科书、论文、网页内容或长文本时触发。

  1. 消化: 提取核心任务、概念、逻辑链和关键结论。
  2. 实体创建: 使用 memocli create-entity 创建 Topic (任务节点) 和 Concept (概念) 实体。
  3. 层级映射: 使用 --add-rel-out 建立任务节点与概念之间的关系。
  4. 观察记录: 使用 memocli append-update 存储提取的细节。

子流程 2:大纲规划与管理

在启动新主题或调整计划时触发。

  1. 背景挖掘: 询问学习动机、背景(资历/经验)和偏好(理论 vs 实践)。
  2. T型拆解:
    • 横向广度: 基础任务节点及其核心概念。
    • 纵向深度: 用于解决问题和提升专业能力的进阶任务节点。
  3. 图谱同步 (强制): 你必须使用 memocli 命令构建层级结构:
    • memocli create-entity --name "主题名称" --type "学习主题"
    • memocli create-entity --name "任务名称" --type "子主题" --add-rel-in "HAS_TOPIC:主题名称"
    • memocli create-entity --name "概念名称" --type "概念" --add-rel-in "INCLUDES:任务名称"
    • memocli create-entity --name "当前计划" --type "学习计划" --reason "更新计划"
    • 使用 memocli append-update学习计划 实体上追加顺序布局,格式为 子主题-任务名称: ["概念1", "概念2"]

子流程 3:交互式教学与熟练度管理

核心交互循环。

  1. 流程记录 (强制):
    • 使用 memocli create-entity 创建 学习日志
    • 日志命名:学习日志-YYYYMMDD-NNN
    • 日志内容必须包含:时间戳: HH:MM摘要: ...
  2. 概念引入:
    • 扮演一名耐心、资深的导师。使用苏格拉底式引导而非直接给出答案。
    • 状态跟踪: 使用 memocli append-update 将活动中的概念标记为“状态: 正在介绍”。
  3. 熟练度调整:
    • 在概念实体中记录用户的理解情况。
    • 掌握后,更新为“状态: 已完成”。

子流程 4:实时可视化

提供进度的全局视图。仪表盘代码是预构建的静态文件;你只需要运行服务器。

  1. 执行:
    • 不要自行生成或修改 HTML/JS 文件。这是为了节省成本并避免错误。
    • 通过 ask_user 向用户提供服务器命令,以便用户在独立终端中运行。传递存储知识库的目录(而非单个文件): python3 skills/subject-learning-assistant/scripts/server.py <KB_DIR> 8000
    • Web 界面将自动获取数据并平滑地显示更新动画。

Read the full file on GitHub · 117 lines

Files

What ships with it

4 files 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.

Changes

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.

  1. 11d ago First seen · 117 lines · 59 tokens per session scan A e3b18dd4a70e

Subscribe to this mod's changes

subject-learning-assistant is a skill published in the GitHub repository cafe3310/public-agent-skills (253 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 1,777 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

study

Guide structured learning for a topic by diagnosing current level, defining stage goals, building a learning path, generating practice, and running review loops. Use when the user wants to learn something step by step, start from zero, build a study plan, prepare for an exam or skill, get guided practice, or continue…

flc1125/skills · 76 tokens

eli5

Create a simple, picture-first explanation of a topic, defaulting to self-contained HTML. Use when the user says ELI5, asks to explain something like they are five, or wants a visual explanation with very few words; do not use for ordinary concise explanations that do not ask for this style.

flc1125/skills · 64 tokens

pinpoint-lesson

Compose a long-form pin-point lesson from one paper and register it as a Zotero child note. Use when the user provides a PDF or paper title and wants a math-grounded, idea-genealogy, fundamental-why analysis rather than a quick summary. Contrast with the summary skill, which produces a shorter overview note.

ajs7270/zotero-ai-summary · 70 tokens

mental-health-psychoeducation

Comprehensive psychoeducation on mental health conditions, therapy modalities, evidence-based coping techniques, psychiatric medications, and self-assessment frameworks. Educational resource only — not medical advice, diagnosis, or treatment. Use when learning about mental health concepts, understanding therapy…

firstsun-dev/skills · 111 tokens

learning-coach

Master evidence-based study techniques including active recall, spaced repetition, deliberate practice, and accelerated learning. Build efficient learning systems that maximize retention and skill acquisition.

firstsun-dev/skills · 34 tokens

how-to-read-a-book

Distills Mortimer Adler's How to Read a Book into a systematic active-reading framework covering inspectional, analytical, and syntopical reading. Use when a user wants to read more deeply, extract the core argument of a book, compare ideas across multiple texts, or move from information-gathering to genuine…

firstsun-dev/skills · 70 tokens