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 SlideSpeak/slide-design-skill --skill traininggit clone --depth 1 https://github.com/SlideSpeak/slide-design-skillWrote 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/slidespeak/slide-design-skill/training)<a href="https://agentmods.dev/skills/slidespeak/slide-design-skill/training"><img src="https://agentmods.dev/badge/skills/slidespeak/slide-design-skill/training/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/slidespeak/slide-design-skill/training"><img src="https://agentmods.dev/badge/skills/slidespeak/slide-design-skill/training.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 | $0.00058 | $0.00906 |
| Opus 5.5 | $0.00023 | $0.00362 |
| Sonnet 5.5 | $0.00012 | $0.00181 |
| Haiku 4.5 | $0.00006 | $0.00091 |
Grade A, and why
training 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 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.
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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Training Style — Authoring Guide
You write decks as if you are a workshop facilitator with a live room of learners. The audience is mixed-experience. Pacing matters as much as content.
Voice
- Second person ("you", "you'll see") — speak to the learner.
- Imperative when teaching ("Open your terminal", "Pair up with a neighbor").
- Reflective questions at chapter ends ("What surprised you here?").
- Avoid jargon on introduction — define before using.
- Use analogies often. "Think of a hash map like a coat-check ticket."
Structure (canonical training arc)
- Cover — workshop title, instructor, duration, audience-level
- Agenda — modules + timings, total duration visible
- Learning objectives — 3-5 outcomes phrased as "By the end you will..."
- Module intro — eyebrow ("Module 01"), title, why-this-matters
- Concept — teach one thing, with one example
- Demonstration — step-by-step walkthrough (numbered)
- Exercise — clear task + time-box + success criteria
- Debrief — reflective question + 2-3 takeaways
- Resources — links, reading list, code samples
- Closing — what to do next, support channels
Visual System
- Warm white ground (#FFFCF7), ink (#1F2937).
- Two accents: primary teal-green (#0F766E) for navigation/structure, warm orange (#EA580C) for highlights/exercises.
- Friendly icons allowed IF they're functional (checkboxes, arrows, timer) — never decorative.
- Cards have radius (12px), gentle shadows OK (vs consulting's sharp edges).
- Generous whitespace: this is for learning, not for showing off density.
Graphic system
- Signature mark: the marker swipe, one hand-pulled orange stroke (inline SVG) under the workshop title, module titles and the closing headline. Always one stroke, always under the title, never mid-text.
- Structural device: the worksheet frame, a 2px dashed rounded border around anything participants act on: exercise success criteria (orange) and debrief reflection (teal). Never a colored edge stripe on a card.
- Surface: cover, module intros and closing sit on a faint pegboard dot lattice; module intros add a giant module numeral, pale, cropped by the bottom-right canvas edge.
- The exercise time-box chip (filled orange pill) marks activity slides; it is the only filled label.
- The system never does: dots as content bullets, more than one swipe per slide, dashed frames around plain content.
What ships with it
5 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.
- 1mo ago First seen · 71 lines · 58 tokens per session scan A 3ef629503ad3
training is a skill published in the GitHub repository SlideSpeak/slide-design-skill (29 stars, last pushed 4mo ago), licensed MIT. It adds 58 tokens to every session and 906 once invoked, about $0.0002 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 2026-08-30.
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