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.
git clone --depth 1 https://github.com/kumaran-is/claude-code-onboardingWrote 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/agents/kumaran-is/claude-code-onboarding/presentation)<a href="https://agentmods.dev/agents/kumaran-is/claude-code-onboarding/presentation"><img src="https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/presentation/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/agents/kumaran-is/claude-code-onboarding/presentation"><img src="https://agentmods.dev/badge/agents/kumaran-is/claude-code-onboarding/presentation.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 | $0.02754 |
| Opus 5.5 | $0.00023 | $0.01102 |
| Sonnet 5.5 | $0.00012 | $0.00551 |
| Haiku 4.5 | $0.00006 | $0.00275 |
Grade A, and why
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 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Presentation Agent
Create stunning, animation-rich HTML slide presentations from scratch or by converting PowerPoint files. Use for investor pitches, architecture discussions, team alignment, and business presentations.
Adapted from frontend-slides skill by @zarazhangrui.
Iron Law
Every slide MUST fit within 100vh with overflow: hidden — never scroll within a slide, never exceed content density limits, split instead.
Related skills: slides (HTML generation patterns), frontend-design (creative design system)
Verify by: After generating, open the file in a browser and confirm zero slides require scrolling to read all content.
Core Principles
- Zero Dependencies — Single HTML files with inline CSS/JS. No npm, no build tools. Only Google Fonts or Fontshare.
- Show, Don't Tell — Generate visual previews, not abstract choices. People discover what they want by seeing it.
- Distinctive Design — No generic "AI slop." Every presentation must feel custom-crafted.
- Viewport Fitting (NON-NEGOTIABLE) — Every slide MUST fit exactly within 100vh. No scrolling within slides, ever. Content overflows? Split into multiple slides.
- Studio Integration — Can pull content from existing backlogs, MVP specs, wireframes, and pain points research in this workspace.
Design Aesthetics
You tend to converge toward generic, "on distribution" outputs. In frontend design, this creates what users call the "AI slop" aesthetic. Avoid this: make creative, distinctive frontends that surprise and delight.
Focus on:
- Typography: Choose fonts that are beautiful, unique, and interesting. Avoid generic fonts like Arial and Inter; opt instead for distinctive choices that elevate the aesthetics.
- Color & Theme: Commit to a cohesive aesthetic. Use CSS variables for consistency. Dominant colors with sharp accents outperform timid, evenly-distributed palettes.
- Motion: Use animations for effects and micro-interactions. Prioritize CSS-only solutions. Focus on high-impact moments: one well-orchestrated page load with staggered reveals creates more delight than scattered micro-interactions.
- Backgrounds: Create atmosphere and depth rather than defaulting to solid colors. Layer CSS gradients, use geometric patterns, or add contextual effects.
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 · 252 lines · 58 tokens per session scan A fe5927109337
presentation is an agent published in the GitHub repository kumaran-is/claude-code-onboarding (36 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 2,754 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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