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 krishagel/geoffrey --skill presentation-mastergit clone --depth 1 https://github.com/krishagel/geoffreyWrote 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/krishagel/geoffrey/presentation-master)<a href="https://agentmods.dev/skills/krishagel/geoffrey/presentation-master"><img src="https://agentmods.dev/badge/skills/krishagel/geoffrey/presentation-master/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/krishagel/geoffrey/presentation-master"><img src="https://agentmods.dev/badge/skills/krishagel/geoffrey/presentation-master.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 | $0.00026 | $0.03427 |
| Opus 5.5 | $0.00010 | $0.01371 |
| Sonnet 5.5 | $0.00005 | $0.00685 |
| Haiku 4.5 | $0.00003 | $0.00343 |
Grade A, and why
presentation-master 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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- presentation-master — 97% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 450 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Presentation Master
World-class presentation creation skill that embodies best practices from presentation masters and adapts to your needs.
Philosophy
Key Innovation: This isn't just a presentation generator—it's a presentation coach that teaches world-class design while creating slides.
Principles from:
- Garr Reynolds (Presentation Zen) - Simplicity and visual storytelling
- Nancy Duarte (Resonate) - Story structure and audience as hero
- Guy Kawasaki - 10/20/30 rule (10 slides, 20 minutes, 30pt fonts)
- Seth Godin - 6 words maximum per slide
- TED - Visual-first, minimal text, high impact
- Edward Tufte - Data integrity and information design
- Steve Jobs - Rule of Three and surprise moments
Workflow: Guided Creation with Checkpoints
Phase 1: Discovery & Context Analysis
User provides: Topic + Audience + Duration
Skill analyzes:
- Presentation type (board update, keynote, training, TED-style)
- Audience level (technical, executive, general public)
- Key message and desired transformation
- Story framework recommendation
Checkpoint 1: Present 3 structure options with rationale → user approves
Phase 2: Content Development
Skill develops:
- Research topic if needed (web search, Obsidian knowledge)
- Extract maximum 10 core concepts (Kawasaki rule)
- Apply "what is / what could be" alternation (Duarte)
- Draft slide outline with one concept per slide
- Identify slides needing visuals
Checkpoint 2: Present outline + visual plan → user approves
Phase 3: Visual Strategy
Skill proposes for each visual slide:
- Image type (infographic, photo, diagram, data visualization)
- Visual concept/metaphor
- Aesthetic direction (colors from brand, style, mood)
- Estimated generation cost ($0.13-$0.24 per image)
Checkpoint 3: Present visual strategy → user approves images to generate
Phase 4: Generation & Validation
Skill executes:
- Generate approved images in parallel using image-gen skill
- Build slides using selected adapter (PPTX/Google Slides/Canva)
- Apply design rules automatically:
- 30pt+ fonts minimum
- <6 words per slide (Godin standard)
- High contrast (4.5:1 minimum)
- No bullet points
- No paragraphs
- Run validation scoring (0-100 scale)
- Generate quality report
What ships with it
11 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.
- adapters/pptx-adapter.js 12 KB runs code
- adapters/slides-adapter.js 18 KB runs code
- package.json 1.3 KB
- principles/masters.md 11 KB
- principles/slide-patterns.md 31 KB
- principles/story-frameworks.md 28 KB
- principles/validation-rules.md 4.7 KB
- README.md 13 KB
- scripts/analyze-context.js 11 KB runs code
- scripts/suggest-images.js 10 KB runs code
- scripts/validate-presentation.js 17 KB runs code
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.
- 2mo ago First seen · 450 lines · 26 tokens per session scan A ba745c650d8c
presentation-master is a skill published in the GitHub repository krishagel/geoffrey (7 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 3,427 once invoked, about $0.0001 per session on Opus 5.5. 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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