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 skills add bestdeejay-design/agent-skills --skill presentation-makergit clone --depth 1 https://github.com/bestdeejay-design/agent-skillsWrote 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/bestdeejay-design/agent-skills/presentation-maker)<a href="https://agentmods.dev/skills/bestdeejay-design/agent-skills/presentation-maker"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-skills/presentation-maker/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/bestdeejay-design/agent-skills/presentation-maker"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-skills/presentation-maker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00059 | $0.05597 |
| Opus 5.5 | $0.00024 | $0.02239 |
| Sonnet 5.5 | $0.00012 | $0.01119 |
| Haiku 4.5 | $0.00006 | $0.00560 |
Grade A, and why
presentation-maker scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
# or prebuilt binary: curl -L https://github.com/markusz/intern/releases/latest/download/intern-$(uname -m|sed s/x86_64/x86_64-apple-darwin/|sed s/arm64/aarch64-apple-darwin/).tar.gz | tar xz How it starts
The opening of the file, as written. The whole thing — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.
presentation-maker
Build a complete, on-brand presentation from a single topic or outline file. The skill is a pipeline of small, single-purpose scripts — one command per stage — so each step is inspectable, debuggable, and composable.
Russian triggers:
сделай презентацию,презентация,слайды,pptx,сделай доклад,собери слайды,структура слайдов,аутлайн презентации,16:9 слайды,презентация в powerpoint.
Pipeline
topic / outline.md
│ strategy.py (pick narrative arc + mood + density + layouts)
▼
deck.md ──(deck_md.py)──▶ deck.json
│
├──(build_html.py)──▶ slides.html
│ внутри build_html.py уже вызываются (не отдельные ручные шаги):
│ • content_profile.py [Слой 1: роль/вес/геометрия каждого слайда]
│ • creative_brief.py [Слой 2: ритм + сигнатурный приём деки, seed = title+topic+audience]
│ • composer.py (выбор параметров ограничен profile+brief, не голый хэш)
│ • fit_solver.py [Слой 3: геометрия в реальном CSS деки, retry до 3 попыток]
│ побочные файлы рядом с slides.html: .profile.json, .brief.json, .fit_report.json
│
├──(verify_slides.py slides.html --spec deck.json)──▶ PASS/FAIL [геометрия, MANDATORY]
│
├──(vision_qa.py shoot slides.html)──▶ скриншоты + рубрика
│ АГЕНТ смотрит на каждый скриншот (инструментом чтения изображений,
│ не текстом!) и оценивает по 7-пунктовой рубрике, затем:
│ (vision_qa.py record slides.html --slide N --verdict PASS|FAIL ...) ×N
│ (vision_qa.py finalize slides.html)──▶ PASS/FAIL [Слой 4, MANDATORY]
│ без реального просмотра слайд считается непроверенным = FAIL,
│ автоматического "PASS по умолчанию" нет
│
├──(build_pptx.py deck.json deck.pptx)──▶ qa_pptx.py ──▶ PASS/FAIL [геометрия PPTX]
├──(build_pdf.py)──▶ deck.pdf (из slides.html, Playwright)
├──(deck_audit.py)──▶ quality report (JSON)
└──(qa_bento.py *.bento.html)──▶ PASS/FAIL [structural validation]
What ships with it
60 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.
- evals/evals.json 731 B
- examples/cases/lovii-pitch/case.json 581 B
- examples/cases/lovii-pitch/deck.json 7.8 KB
- examples/cases/lovii-pitch/slides.html 46 KB
- examples/demo_deck.json 7.9 KB
- examples/demo/demo_deck.json 7.9 KB
- readme.ru.md 4.5 KB
- references/audit.md 7.3 KB
- references/bento.md 20 KB
- references/design-system.md 7.2 KB
- references/pdf.md 2.5 KB
- references/product-designer.md 11 KB
- references/references.md 489 B
- references/strategy.md 7.7 KB
- scripts/build_bento.py 62 KB runs code
- scripts/build_html.py 41 KB runs code
- scripts/build_pdf.py 5.9 KB runs code
- scripts/build_pptx.py 46 KB runs code
- scripts/cases.py 2.7 KB runs code
- scripts/composer.py 12 KB runs code
- scripts/content_profile.py 4.6 KB runs code
- scripts/creative_brief.py 7.4 KB runs code
- scripts/deck_audit.py 17 KB runs code
- scripts/deck_md.py 23 KB runs code
- scripts/fit_solver.py 7.5 KB runs code
- scripts/patterns.py 3.4 KB runs code
- scripts/polish.py 4.0 KB runs code
- scripts/qa_bento.py 35 KB runs code
- scripts/qa_intern.py 5.8 KB runs code
- scripts/qa_pptx.py 8.6 KB runs code
- scripts/strategy.py 9.8 KB runs code
- scripts/verify_slides.py 5.4 KB runs code
- scripts/vision_qa.py 9.0 KB runs code
- skill.json 2.1 KB
- templates/base.html 55 KB
- templates/icons/arrow-right.svg 128 B
- templates/icons/award.svg 211 B
- templates/icons/bot.svg 212 B
- templates/icons/briefcase.svg 233 B
- templates/icons/building.svg 171 B
- templates/icons/chart.svg 197 B
- templates/icons/family.svg 240 B
- templates/icons/graduation.svg 163 B
- templates/icons/presentation.svg 256 B
- templates/icons/users.svg 240 B
- templates/icons/zap.svg 188 B
- templates/pattern-css/before-after.css 285 B
- templates/pattern-css/big-type.css 390 B
- templates/pattern-css/card-dashboard.css 552 B
- templates/pattern-css/cyclic-process.css 702 B
- templates/pattern-css/data-story.css 611 B
- templates/pattern-css/editorial-asym.css 787 B
- templates/pattern-css/hero-left.css 697 B
- templates/pattern-css/quote-hero.css 533 B
- templates/pattern-css/recap-grid.css 461 B
- templates/pattern-css/soft-shapes.css 1.0 KB
- templates/pattern-css/sparkline-metric.css 534 B
- templates/pattern-css/split-diagonal.css 547 B
- templates/pattern-css/split-frame.css 841 B
- templates/pattern-css/swiss-grid.css 1.0 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.
- 1mo ago Changed · +5 lines fb5353d7fc79
- 1mo ago Changed · +1 lines a00574300e44
- 1mo ago First seen · 418 lines · 59 tokens per session scan A 3314d62ed94e
presentation-maker is a skill published in the GitHub repository bestdeejay-design/agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 5,597 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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