Borrowing it
Nothing to install: this file belongs to greatSumini/cc-system. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/greatSumini/cc-system/main/.claude/skills/youtube-collector/SKILL.mdgit clone --depth 1 https://github.com/greatSumini/cc-systemWrote 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.
[](https://agentmods.dev/skills/greatsumini/cc-system/youtube-collector)<a href="https://agentmods.dev/skills/greatsumini/cc-system/youtube-collector"><img src="https://agentmods.dev/badge/skills/greatsumini/cc-system/youtube-collector/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.
<a href="https://agentmods.dev/skills/greatsumini/cc-system/youtube-collector"><img src="https://agentmods.dev/badge/skills/greatsumini/cc-system/youtube-collector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00093 | $0.01277 |
| Opus 5 | $0.00046 | $0.00639 |
| Sonnet 5 | $0.00019 | $0.00255 |
| Haiku 4.5 | $0.00009 | $0.00128 |
Grade A, and why
youtube-collector 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 12d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Collector
등록된 유튜브 채널의 새 컨텐츠를 수집하고 자막 기반 요약을 생성.
사전 요구사항
필수 패키지:
pip install google-api-python-client youtube-transcript-api pyyaml
API 키 설정: 보안을 위해 API 키는 사용자 홈 디렉토리에 저장됨.
# API 키 설정 (대화형)
python3 scripts/setup_api_key.py
# 또는 직접 지정
python3 scripts/setup_api_key.py --api-key YOUR_API_KEY
# 현재 설정 확인
python3 scripts/setup_api_key.py --show
설정 파일 경로:
- macOS/Linux:
~/.config/youtube-collector/config.yaml - Windows:
%APPDATA%\youtube-collector\config.yaml
워크플로우
1. 채널 등록
채널 URL 또는 핸들로 등록:
# 핸들로 등록
python3 scripts/register_channel.py --channel-handle @channelname --output-dir .reference/
# URL로 등록
python3 scripts/register_channel.py --channel-url "https://youtube.com/@channelname" --output-dir .reference/
결과: .reference/channels.yaml에 채널 정보가 추가됨.
2. 컨텐츠 수집
스크립트가 영상 목록 조회 + 자막 수집 + YAML 파일 저장을 자동으로 처리:
# 특정 채널 수집
python3 scripts/collect_videos.py --channel-handle @channelname --output-dir .reference/ --max-results 10
# 등록된 모든 채널 수집
python3 scripts/collect_videos.py --all --output-dir .reference/
결과: .reference/contents/{channel_handle}/{video_id}.yaml 파일들이 생성됨.
3. 요약 생성
수집 결과 JSON에서 새로 추가된 영상 확인 후, 각 영상의 YAML 파일에 summary 필드 추가:
summary:
source: "transcript" # 또는 "description" (자막 없을 때)
content: |
## 서론
- 문제 제기 또는 주제 소개
- 영상의 목적/배경
## 본론
- 핵심 내용 상세 설명
- 해결책, 방법론, 예시 등
- 주요 포인트별 정리
## 결론
- 핵심 요약
- 시사점 또는 다음 단계
요약 생성 기준:
transcript.available: true→ 자막 기반 요약,summary.source: "transcript"transcript.available: false→ 설명 기반 요약,summary.source: "description"
4. 데이터 조회
수집된 컨텐츠 확인:
.reference/contents/폴더 구조 확인- 특정 채널/영상의 YAML 파일 읽어서 정보 제공
스크립트 옵션
register_channel.py
| 옵션 | 설명 |
|---|---|
--channel-handle |
채널 핸들 (@username) |
--channel-url |
채널 URL |
--channel-id |
채널 ID (UC...) |
--output-dir |
저장 디렉토리 (기본: .reference) |
collect_videos.py
What ships with it
7 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.
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.
- 12d ago First seen · 159 lines · 93 tokens per session scan A 3e8d653787e1
youtube-collector is a skill published in the GitHub repository greatSumini/cc-system (437 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 1,277 once invoked, about $0.0005 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.
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