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Agent skill

Fetch Reading

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

URL에서 reading 콘텐츠를 수집하여 마크다운 파일로 저장합니다. An agent skill from team-attention/stanford-cs146s-kr.

No licenceAuto-check passedDocuments & Office

Install Fetch Reading

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

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

GitHub CLI
$ gh skill install team-attention/stanford-cs146s-kr fetch-reading --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/fetch-reading .claude/skills/fetch-reading && 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
fetch-reading
GitHub stars
294
Token cost
~5.6k tokens
SKILL.md length
992 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
None found

At a glance

URL에서 reading 콘텐츠를 수집하여 마크다운 파일로 저장합니다. An agent skill from team-attention/stanford-cs146s-kr.

  • Works in 5 steps: URL/파일 분석 → 콘텐츠 수집 (유형별) → 마크다운 파일 생성 → …
  • Tasks that involve PDF
  • SKILL.md covers 사용법, 동작 흐름, 예시 and 참고 파일, plus 1 more section
  • Calls yt-dlp; reaches promptingguide.ai and youtube.com

What it does

Fetch Reading is an agent skill from team-attention/stanford-cs146s-kr. URL에서 reading 콘텐츠를 수집하여 마크다운 파일로 저장합니다. YouTube, PDF, 웹 문서 지원. (GitHub/Notion 현재 보류) 사용: /fetch-reading <url 단일 URL 수집 /fetch-reading week <N Week N 전체 reading 수집 + 번역

Its SKILL.md is about 5.6k 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 Documents & Office, covering PDF. It works with YouTube, Notion and GitHub. The repository describes itself as: Stanford CS146S: The Modern Software Developer - Korean Edition.

When your agent uses it

  • Tasks that involve PDF

Example prompts

  • “/fetch-reading”

Workflow steps

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

  1. URL/파일 분석
  2. 콘텐츠 수집 (유형별)
  3. 마크다운 파일 생성
  4. 파일 저장
  5. INDEX.md 업데이트

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:

    • yt-dlp

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • promptingguide.ai
    • youtube.com
    • stytch.com
    • github.com
    • notion.so
    • some-url.com

    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

Fetch Reading loads about 5.6k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 992 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~5.6k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 992 words (~5,622 tokens).

“URL에서 reading 콘텐츠를 수집하여 마크다운 파일로 저장합니다.”

— opening of SKILL.md by team-attention
name
fetch-reading
arguments
- name: url description: 수집할 URL 또는 로컬 PDF 파일 경로 (단일 모드) required: false - name: week description: | Week 번호. 두 가지 사용법: 1. 배치 모드: /fetch-reading week 2 (Week…

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/fetch-reading of team-attention/stanford-cs146s-kr.

Open the folder on GitHubat commit a13c516

Compare with similar skills

Fetch Reading 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.

Fetch Reading compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fetch Reading this skillteam-attention/stanford-cs146s-kr294—~5.6kAutomated safety check: PassNone
PullmdAeternaLabsHQ/pullmd486—~2.6kAutomated safety check: PassAGPL-3.0
Researchiusztinpaul/ai-research-os-workshop179—~17kAutomated safety check: PassMIT
Media Ingestinbrainfun/inbrain1421 repos~935Automated safety check: PassCustom licence
MarkitdownImCa0/just-laws78114 repos~3.2kAutomated safety check: NotesMIT
Markitdownjimmc414/Kosmos5942 repos~1.7kAutomated safety check: PassNone

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Works with

Categories

Questions about Fetch Reading

What does Fetch Reading do?

URL에서 reading 콘텐츠를 수집하여 마크다운 파일로 저장합니다. An agent skill from team-attention/stanford-cs146s-kr. Fetch Reading is an agent skill from team-attention/stanford-cs146s-kr. URL에서 reading 콘텐츠를 수집하여 마크다운 파일로 저장합니다.

When should I use Fetch Reading?

Fetch Reading fits situations like: tasks that involve PDF.

How do I install Fetch Reading in Claude Code?

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

How do I install Fetch Reading in Codex?

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

Can I use Fetch Reading 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 fetch-reading -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fetch-reading, .gemini/skills/fetch-reading, .github/skills/fetch-reading and .opencode/skills/fetch-reading in your project.

What does Fetch Reading need to run?

Going by SKILL.md and its folder, Fetch Reading needs the command-line tools its instructions call (yt-dlp).

Does Fetch Reading access the network?

SKILL.md names 6 domains. In commands or code: promptingguide.ai, youtube.com, stytch.com, github.com, notion.so and some-url.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Fetch Reading 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 Fetch Reading use?

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

How many tokens does Fetch Reading use?

About 5.6k tokens (SKILL.md is roughly 22k 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 Fetch Reading?

Skills that share tags, products or a category with Fetch Reading: Pullmd (AeternaLabsHQ/pullmd, 486 stars), Research (iusztinpaul/ai-research-os-workshop, 179 stars), Media Ingest (inbrainfun/inbrain, 142 stars) and Markitdown (ImCa0/just-laws, 781 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fetch Reading?

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.