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.
npx agentmods add skills/crystal0224/slide-maker/new-presentationnpx skills add crystal0224/slide-maker --skill new-presentationgit clone --depth 1 https://github.com/crystal0224/slide-makerWrote 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/crystal0224/slide-maker/new-presentation)<a href="https://agentmods.dev/skills/crystal0224/slide-maker/new-presentation"><img src="https://agentmods.dev/badge/skills/crystal0224/slide-maker/new-presentation.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00027 | $0.05847 |
| Opus 5 | $0.00014 | $0.02923 |
| Sonnet 5 | $0.00005 | $0.01169 |
| Haiku 4.5 | $0.00003 | $0.00585 |
Grade A, and why
new-presentation 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 5d 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 — 613 lines — stays where its author put it; the contents beside it link to each section on GitHub.
New Presentation
대화형으로 HTML 프레젠테이션을 생성하는 스킬
Base Directory: 이 스킬의 모든 references 경로는 ~/.claude/skills/new-presentation/ 기준입니다.
STOP PROTOCOL
이 스킬은 반드시 Step-by-Step으로 실행합니다.
각 Step 끝에 --- STOP --- 표시가 있으면:
- 해당 Step의 결과를 사용자에게 보여줍니다
- 다음 Step으로 절대 넘어가지 않습니다
- 사용자가 응답하면 다음 Step을 실행합니다
이 규칙을 위반하면 안 됩니다. 사용자 확인 없이 다음 단계로 넘어가면 되돌릴 수 없는 파일 생성이 발생합니다.
진행 순서 안내
스킬이 시작되면 사용자에게 아래 로드맵을 가장 먼저 보여줍니다. (어떤 도구도 사용하지 않습니다)
프레젠테이션을 만들어볼까요? 아래 순서로 진행됩니다:
Step 0 기본 정보 ── 주제 / 시간 / 청중 / 발표자 / 자료(선택)
│
Step 1 구조 설계 ── 슬라이드 목차 확인/수정
│
Step 2 생성 & 빌드 ── 파일 생성 → 빌드 → 서버 시작
│
Step 3 수정 안내 ── ✏️ 브라우저 에디터 · Claude 요청 · 직접 편집
각 단계마다 확인을 거치며, 원하면 건너뛸 수 있습니다.
AskUserQuestion:
- header: "시작"
- question: "프레젠테이션 만들기를 시작할까요?"
- multiSelect: false
- options:
- label: "시작! (Recommended)" description: "Step 0부터 차근차근 진행합니다"
- label: "자료 있음" description: "기존 PPT/PDF/노트/아웃라인이 있어요 → Step 0에서 자료 경로를 함께 수집합니다"
- label: "빠른 생성" description: "주제만 입력하면 바로 생성합니다 (기본 구조 자동 적용)"
"자료 있음" 선택 시: Step 0에서 기본 정보 + 자료 파일 경로를 함께 수집합니다. "빠른 생성" 선택 시: Step 0에서 주제/시간/청중만 수집 → Step 2로 직행합니다 (AI 자동 구조).
--- STOP ---
Step 0: Project Setup (프로젝트 기본 정보 수집)
(어떤 도구도 사용하지 않습니다 - AskUserQuestion만 사용)
하나의 AskUserQuestion 호출로 다음 4개 질문을 동시에 수집합니다:
질문 1: 프레젠테이션 주제
- header: "주제"
- question: "프레젠테이션의 주제는 무엇인가요? (자유롭게 입력해주세요)"
- multiSelect: false
- options:
- label: "AI/테크" description: "AI, 데이터, 기술 관련 주제"
- label: "비즈니스" description: "경영, 마케팅, 전략 관련 주제"
- label: "교육/학술" description: "강의, 연구, 학습 관련 주제"
- label: "기타" description: "직접 입력"
사용자가 어떤 옵션을 선택하든 "Other" 입력으로 구체적 주제를 작성할 수 있습니다.
질문 2: 발표 시간
- header: "발표시간"
- question: "발표 시간은 얼마나 되나요?"
- multiSelect: false
- options:
- label: "5분" description: "라이트닝 토크 (5-7장)"
- label: "10분" description: "짧은 발표 (8-12장)"
- label: "20분" description: "일반 발표 (15-18장)"
- label: "30분+" description: "긴 발표 (20-28장)"
질문 3: 대상 청중
- header: "청중"
- question: "주요 청중은 누구인가요?"
- multiSelect: false
- options:
- label: "임원/경영진" description: "전략적 관점, 비즈니스 임팩트 중심"
- label: "실무자/팀원" description: "구체적 방법론, 실행 가능한 내용"
- label: "학생/취준생" description: "기초 개념, 커리어 가이드"
- label: "일반 대중" description: "쉬운 설명, 흥미 유발"
What ships with it
23 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.
- references/design-guide.md 4.8 KB
- references/slide-patterns/checklist.html 2.8 KB
- references/slide-patterns/closing.html 367 B
- references/slide-patterns/comparison.html 2.2 KB
- references/slide-patterns/content-cards.html 1.6 KB
- references/slide-patterns/data-bars.html 3.2 KB
- references/slide-patterns/intro.html 1.2 KB
- references/slide-patterns/process-flow.html 3.4 KB
- references/slide-patterns/quote.html 885 B
- references/slide-patterns/section.html 442 B
- references/slide-patterns/title.html 542 B
- references/template/_template/footer.html 124 KB
- references/template/_template/header.html 13 KB
- references/template/package.json 648 B
- references/template/scripts/build.js 3.3 KB runs code
- references/template/scripts/extract-script.js 7.0 KB runs code
- references/template/scripts/pdf.js 3.3 KB runs code
- references/template/scripts/server.js 4.3 KB runs code
- references/themes/business.json 1.1 KB
- references/themes/education.json 1.1 KB
- references/themes/minimal.json 964 B
- references/themes/tech.json 1.1 KB
- references/themes/warm.json 1.1 KB
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.
- 5d ago First seen · 613 lines · 27 tokens per session scan A bfaaa2d4b83c
new-presentation is a skill published in the GitHub repository crystal0224/slide-maker (5 stars, last pushed 6mo ago), licensed MIT. It adds 27 tokens to every session and 5,847 once invoked, about $0.0001 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 2026-08-31.
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