Agent skill

Wiki Review

by IssacW228 in IssacW228/student-llm-wiki

Feynman-technique review mode for studying. An agent skill from IssacW228/student-llm-wiki.

MITAuto-check passedKnowledge Management

Install Wiki Review

skills CLI
$ npx skills add IssacW228/student-llm-wiki --skill wiki-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install IssacW228/student-llm-wiki wiki-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/IssacW228/student-llm-wiki.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/wiki-review .claude/skills/wiki-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
wiki-review
GitHub stars
177
Token cost
~259 tokens
SKILL.md length
67 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Feynman-technique review mode for studying. An agent skill from IssacW228/student-llm-wiki.

  • Works in 6 steps: 读 wiki/hot.md 和 wiki/index.md 定位目标概念 → 找 confidence:low/medium 的概念(优先复习薄弱的) → 费曼提问: 像一个完全不懂的人一样提问,要求用户用最简单的语言解释 → …
  • Test my understanding
  • SKILL.md covers 步骤 Steps, 费曼提问示例 Feynman Question Examples and 中英双语 Bilingual
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Wiki Review is an agent skill from IssacW228/student-llm-wiki. Feynman-technique review mode for studying. This skill should be used when the user says "review", "复习", "quiz me", "test my understanding", or names a course/concept they want to study. Quizzes the user, adjusts confidence based on answers, and generates practice questions for weak concepts.

Its SKILL.md is about 260 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management, covering Quizzes and assessments and LLM wikis. The repository describes itself as: 📚 Student LLM Wiki — AI-compiled knowledge base for university students. Drop course slides, get a persistent interlinked wiki. Feynman review, exam prep, confidence decay… The licence is MIT.

When your agent uses it

  • Test my understanding
  • Names a course/concept they want to study

Example prompts

  • “review”
  • “quiz me”
  • “test my understanding”
  • “/wiki-review”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. 读 wiki/hot.md 和 wiki/index.md 定位目标概念
  2. 找 confidence:low/medium 的概念(优先复习薄弱的)
  3. 费曼提问: 像一个完全不懂的人一样提问,要求用户用最简单的语言解释
  4. 评估回答
  5. 更新页面: 调整概念页的 confidence 和 last_reviewed 字段
  6. 生成练习题: 为仍然是 low 的概念,调用 exam-prep 逻辑生成题目到 wiki/exam-prep/{course}.md

What it can do on your machine

Read from SKILL.md and the folder at commit 3e2abe0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wiki Review loads about 259 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 67 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~259

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from IssacW228/student-llm-wiki at commit 3e2abe0, republished under its MIT licence (© IssacW228). 67 words, ~259 tokens.

Download SKILL.mdSave it as .claude/skills/wiki-review/SKILL.md (or your agent's skills folder).
name
wiki-review
description
Feynman-technique review mode for studying. This skill should be used when the user says "review", "复习", "quiz me", "test my understanding", or names a course/concept they want to study. Quizzes the user, adjusts confidence based on answers, and generates practice questions for weak concepts.

Wiki Review — 费曼复习

用费曼技巧测试理解。 Test understanding using the Feynman technique.

步骤 Steps

  1. 读 wiki/hot.md 和 wiki/index.md 定位目标概念
  2. 找 confidence:low/medium 的概念(优先复习薄弱的)
  3. 费曼提问: 像一个完全不懂的人一样提问,要求用户用最简单的语言解释
    • 不要问"是什么",要问"为什么"和"如果...会怎样"
    • 追问到用户答不上来为止,找出理解的边界
  4. 评估回答:
    • 答得好且完整 → confidence 升级,更新 last_reviewed
    • 答得有漏洞 → 指出漏洞,解释正确理解,confidence 保持或降级
  5. 更新页面: 调整概念页的 confidence 和 last_reviewed 字段
  6. 生成练习题: 为仍然是 low 的概念,调用 exam-prep 逻辑生成题目到 wiki/exam-prep/{course}.md

费曼提问示例 Feynman Question Examples

  • ❌ "什么是注意力机制?"(测记忆)
  • ✅ "如果去掉 softmax 的缩放因子 √d_k 会发生什么?为什么?"(测理解)
  • ✅ "用一个生活中的类比解释 Q、K、V 三个矩阵的作用"(测内化)

中英双语 Bilingual

提问和反馈都用中英双语,让用户用任一语言回答都可以。

© IssacW228, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/wiki-review of IssacW228/student-llm-wiki.

Open the folder on GitHubat commit 3e2abe0

Compare with similar skills

Wiki Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wiki Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wiki Review this skillIssacW228/student-llm-wiki177—~259Automated safety check: PassMIT
Project Mastery Coachtudoumashu/ai-memory-skillpack456—~1.8kAutomated safety check: PassMIT
Nlm Skilliusztinpaul/ai-research-os-workshop1791 repos~6.9kAutomated safety check: PassMIT
NotebookLM CLI Guidejacob-bd/notebooklm-cli256—~3.4kAutomated safety check: WarnMIT
Research With Sourcesinkeep/open-knowledge4.5k—~5.6kAutomated safety check: PassGPL-3.0
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0

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More from IssacW228/student-llm-wiki

  • Wiki Core

    IssacW228/student-llm-wiki

    Core operating rules for the student knowledge wiki. An agent skill from IssacW228/student-llm-wiki.

    177 GitHub stars~708 tokensUpdated 3 mo ago
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  • Wiki Ingest

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  • Exam Prep

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  • Wiki Diagram

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  • Wiki Lint

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    Health-check the wiki and apply confidence decay. An agent skill from IssacW228/student-llm-wiki.

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Questions about Wiki Review

What does Wiki Review do?

Feynman-technique review mode for studying. An agent skill from IssacW228/student-llm-wiki. Wiki Review is an agent skill from IssacW228/student-llm-wiki. Feynman-technique review mode for studying.

When should I use Wiki Review?

Wiki Review fits situations like: test my understanding; names a course/concept they want to study.

How do I install Wiki Review in Claude Code?

Run `npx skills add IssacW228/student-llm-wiki --skill wiki-review -a claude-code`. Or copy the skill folder (skills/wiki-review in IssacW228/student-llm-wiki) into .claude/skills/wiki-review in your project. Claude Code loads it when a task matches its description.

How do I install Wiki Review in Codex?

Run `npx skills add IssacW228/student-llm-wiki --skill wiki-review -a codex`. Or copy the skill folder (skills/wiki-review in IssacW228/student-llm-wiki) into .agents/skills/wiki-review in your project. Codex loads it when a task matches its description.

Can I use Wiki Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add IssacW228/student-llm-wiki --skill wiki-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wiki-review, .gemini/skills/wiki-review, .github/skills/wiki-review and .opencode/skills/wiki-review in your project.

What does Wiki Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Wiki Review is instructions for the agent only.

Does Wiki Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Wiki Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Wiki Review use?

Wiki Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wiki Review use?

About 259 tokens (SKILL.md is roughly 1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wiki Review?

Skills that share tags, products or a category with Wiki Review: Project Mastery Coach (tudoumashu/ai-memory-skillpack, 456 stars), Nlm Skill (iusztinpaul/ai-research-os-workshop, 179 stars), NotebookLM CLI Guide (jacob-bd/notebooklm-cli, 256 stars) and Research With Sources (inkeep/open-knowledge, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wiki Review?

IssacW228 (a GitHub user) maintains it in IssacW228/student-llm-wiki, which has 177 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on June 16, 2026.

Source: IssacW228/student-llm-wiki on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.