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 seb1n/awesome-ai-agent-skills --skill presentation-creationgit clone --depth 1 https://github.com/seb1n/awesome-ai-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/seb1n/awesome-ai-agent-skills/presentation-creation)<a href="https://agentmods.dev/skills/seb1n/awesome-ai-agent-skills/presentation-creation"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/presentation-creation/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/seb1n/awesome-ai-agent-skills/presentation-creation"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/presentation-creation.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00049 | $0.02717 |
| Opus 5.5 | $0.00020 | $0.01087 |
| Sonnet 5.5 | $0.00010 | $0.00543 |
| Haiku 4.5 | $0.00005 | $0.00272 |
Grade C, and why
presentation-creation scanned grade C 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- Speaker notes: We built Nimbus for engineering managers, not CFOs. You get full control over what gets optimized and what stays untouched. Every action is reversible with a single click. --> Copies of this mod
1 near-identical copy found in the catalogue:
- presentation-creation — 97% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Presentation Creation
This skill enables an AI agent to transform raw content — outlines, documents, meeting notes, or data — into professional presentation slide decks. The agent applies slide design principles such as one idea per slide, visual hierarchy, and minimal text to produce decks that are clear, engaging, and presentation-ready. It supports multiple output formats including Marp Markdown, reveal.js HTML, Google Slides, and PPTX.
Workflow
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Gather content and define the audience. Collect the source material — an outline, a technical document, meeting notes, or a set of talking points. Identify the target audience (executives, engineers, customers, investors) and the presentation goal (inform, persuade, train, pitch). The audience determines vocabulary depth, level of detail, and visual style. An investor pitch uses bold claims and metrics; a technical deep-dive uses architecture diagrams and code snippets.
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Structure the narrative arc. Organize the content into a logical story: opening hook, problem statement, solution or key message, supporting evidence, and closing call to action. Map this arc onto a slide-by-slide outline. A typical 15-minute presentation uses 10-15 slides. Each slide should convey a single idea — if a slide needs two headings, it should be two slides. Add transition beats between sections to maintain narrative flow.
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Write slide content with minimal text. For each slide, write a concise headline (under 8 words) that states the takeaway, not the topic. Use "Revenue grew 40% YoY" instead of "Revenue Overview." Keep body text to 3-5 bullet points or a single short paragraph. Where possible, replace text with visuals — a chart, diagram, screenshot, or image that communicates the point faster. Write speaker notes for each slide with the full talking points the presenter should deliver verbally.
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Suggest visual elements and layout. For each slide, recommend the appropriate visual treatment: bar chart for comparisons, line chart for trends, flow diagram for processes, screenshot for product demos, icon grid for feature lists, or a full-bleed image for emotional impact. Specify layout as title-only, title-and-body, two-column, image-left, or full-image. Suggest a consistent color palette and font pairing (e.g., Inter for headings, Source Sans for body).
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 First seen · 238 lines · 49 tokens per session scan C 60d1062b16d9
presentation-creation is a skill published in the GitHub repository seb1n/awesome-ai-agent-skills (231 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 2,717 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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