Agent skill

Review Cheatsheet

by team-attention in team-attention/stanford-cs146s-kr

나노바나나 치트시트 이미지를 Gemini Vision으로 분석하여 해당 kr md 파일의 내용과 일치하는지 검증합니다.

No licenceAuto-check: notes

Install Review Cheatsheet

skills CLI
$ npx skills add team-attention/stanford-cs146s-kr --skill review-cheatsheet -a claude-code

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

GitHub CLI
$ gh skill install team-attention/stanford-cs146s-kr review-cheatsheet --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/team-attention/stanford-cs146s-kr.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/review-cheatsheet .claude/skills/review-cheatsheet && 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
review-cheatsheet
GitHub stars
294
Token cost
~1.4k tokens
SKILL.md length
181 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
None found

At a glance

나노바나나 치트시트 이미지를 Gemini Vision으로 분석하여 해당 kr md 파일의 내용과 일치하는지 검증합니다.

  • Works in 5 steps: 경로 파싱 및 파일 확인 → Gemini Vision API 호출 → md 파일과 비교 분석 → …
  • SKILL.md covers 사용법, 입출력, 검증 항목 and 워크플로우, plus 4 more sections
  • Calls python3; needs GOOGLE_API_KEY

What it does

Review Cheatsheet is an agent skill from team-attention/stanford-cs146s-kr. 나노바나나 치트시트 이미지를 Gemini Vision으로 분석하여 해당 kr md 파일의 내용과 일치하는지 검증합니다. 기술적/문맥적 오류, 잘못된 텍스트/그래프/그림을 찾아냅니다. 사용: /review-cheatsheet week1/slug/chapter

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Stanford CS146S: The Modern Software Developer - Korean Edition.

Example prompts

  • “/review-cheatsheet”

Requirements

  • Python 3
  • A credential in GOOGLE_API_KEY

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. 경로 파싱 및 파일 확인
  2. Gemini Vision API 호출
  3. md 파일과 비교 분석
  4. 리포트 생성
  5. 결과 출력

What it can do on your machine

Read from SKILL.md and the folder at commit a13c516. 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

    Shell commands in SKILL.md call:

    • python3

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

  • Network

    Links to these hosts (documentation or services it may open):

    • aistudio.google.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GOOGLE_API_KEY

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

Context cost

Review Cheatsheet loads about 1.4k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 181 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:129
    # .env 파일에서 API 키 로드
  • NoteMentions a .env fileSKILL.md:130
    env_path = Path(".env")
  • NoteMentions a .env fileSKILL.md:262
    | API 키 없음 | ".env 파일에 GOOGLE_API_KEY를 설정해주세요" |
  • NoteMentions a .env fileSKILL.md:268
    - **환경변수**: `.env` 파일에 `GOOGLE_API_KEY` 설정

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 181 words (~1,419 tokens).

“나노바나나 치트시트 이미지를 Gemini Vision API로 분석하여 원본 한국어 문서와 비교 검증합니다.”

— opening of SKILL.md by team-attention
name
review-cheatsheet

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/review-cheatsheet of team-attention/stanford-cs146s-kr.

Open the folder on GitHubat commit a13c516

Compare with similar skills

Review Cheatsheet 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.

Review Cheatsheet compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Cheatsheet this skillteam-attention/stanford-cs146s-kr294—~1.4kAutomated safety check: NotesNone
Interview Cheatsheetwanshuiyin/Auto-claude-code-research-in-sleep17k1 repos~3.3kAutomated safety check: NotesMIT
Exam CheatsheetZeKaiNie/universal-examprep-skill303—~1.8kAutomated safety check: PassMIT
Cheatsheet GeneratorEvan715823/cheatsheet-generator-skill200—~3kAutomated safety check: NotesMIT
Interview Cheatsheetwanshuiyin/ARIS-in-AI-Offer582—~3.4kAutomated safety check: NotesMIT
Lc Cheatsheetyennanliu/CS_basics141—~3.5kAutomated safety check: NotesNone

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Questions about Review Cheatsheet

What does Review Cheatsheet do?

나노바나나 치트시트 이미지를 Gemini Vision으로 분석하여 해당 kr md 파일의 내용과 일치하는지 검증합니다. Review Cheatsheet is an agent skill from team-attention/stanford-cs146s-kr. 나노바나나 치트시트 이미지를 Gemini Vision으로 분석하여 해당 kr md 파일의 내용과 일치하는지 검증합니다.

How do I install Review Cheatsheet in Claude Code?

Run `npx skills add team-attention/stanford-cs146s-kr --skill review-cheatsheet -a claude-code`. Or copy the skill folder (.claude/skills/review-cheatsheet in team-attention/stanford-cs146s-kr) into .claude/skills/review-cheatsheet in your project. Claude Code loads it when a task matches its description.

How do I install Review Cheatsheet in Codex?

Run `npx skills add team-attention/stanford-cs146s-kr --skill review-cheatsheet -a codex`. Or copy the skill folder (.claude/skills/review-cheatsheet in team-attention/stanford-cs146s-kr) into .agents/skills/review-cheatsheet in your project. Codex loads it when a task matches its description.

Can I use Review Cheatsheet 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 team-attention/stanford-cs146s-kr --skill review-cheatsheet -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-cheatsheet, .gemini/skills/review-cheatsheet, .github/skills/review-cheatsheet and .opencode/skills/review-cheatsheet in your project.

What does Review Cheatsheet need to run?

Going by SKILL.md and its folder, Review Cheatsheet needs the command-line tools its instructions call (python3) and credentials named GOOGLE_API_KEY. Our summary lists: Python 3; A credential in GOOGLE_API_KEY.

Does Review Cheatsheet access the network?

SKILL.md names 1 domain. As links in the text: aistudio.google.com. This is read from the text; nothing was executed.

Is Review Cheatsheet safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Review Cheatsheet use?

No licence was found for Review Cheatsheet or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Review Cheatsheet use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 Review Cheatsheet?

Skills that share tags, products or a category with Review Cheatsheet: Interview Cheatsheet (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars), Exam Cheatsheet (ZeKaiNie/universal-examprep-skill, 303 stars), Cheatsheet Generator (Evan715823/cheatsheet-generator-skill, 200 stars) and Interview Cheatsheet (wanshuiyin/ARIS-in-AI-Offer, 582 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Cheatsheet?

team-attention (a GitHub organization) maintains it in team-attention/stanford-cs146s-kr, which has 294 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on March 4, 2026.

Source: team-attention/stanford-cs146s-kr on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.