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 alecs5am/ralphy --skill storyboard-generationgit clone --depth 1 https://github.com/alecs5am/ralphyWrote 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/alecs5am/ralphy/storyboard-generation)<a href="https://agentmods.dev/skills/alecs5am/ralphy/storyboard-generation"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/storyboard-generation/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/alecs5am/ralphy/storyboard-generation"><img src="https://agentmods.dev/badge/skills/alecs5am/ralphy/storyboard-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00018 | $0.00561 |
| Opus 5 | $0.00009 | $0.00280 |
| Sonnet 5 | $0.00004 | $0.00112 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
storyboard-generation 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 6d 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.
What it actually says
Storyboard & Presentation Slide Generation
When generating full storyboard slides or presentation decks (typically using imagegen_2_0), follow these rules:
Strict Containment: The prompt must explicitly instruct the model to fit all photo cards, text blocks, and UI elements entirely within the slide boundaries. Nothing should be cropped or cut off at the edges. Use phrases like: "All photo cards fully inside slide boundaries, nothing cropped." Resolution & Aspect Ratio: Use aspect_ratio: "16:9" (or the requested slide format) and resolution: "1k" or "2k" to ensure text legibility and clean, sharp layouts. 1080p is an invalid resolution for imagegen_2_0 — never use it. Layout Definition: Clearly delineate rows and columns in the prompt structure (e.g., LAYOUT: 2 rows. Row 1: two equal columns (E1 left, E2 right)...) so the model organizes the elements logically. Reference Adherence: If replicating or modifying an existing layout, explicitly instruct the model to maintain the exact typography, icon set, card style, and background color. Timeline Bars: When visualizing a continuous shot or multi-scene sequence, explicitly prompt for a gradient timeline bar at the very bottom (e.g. Timeline bar at very bottom: gradient line from left (slow) to right (fast), labeled...). Consistency: Keep the lighting, time of day, and environmental context consistent across the panels on a single slide unless explicitly contrasting states (like a Before/After). Complex Storyboards (Film/Video): When building multi-panel film storyboards, use a structured JSON prompt with strict formatting directives (e.g., dark charcoal background #1a1a1a, white 2px borders around panels, specific typography for labels). Use cyan for camera movement overlays, yellow italic for audio, green for transitions. Embed a structured data block below each panel (Shot Type, Lens, Camera Path, Audio, Transition). Camera Movement Overlays: Explicitly prompt for arrows and diagrams drawn directly on the image panels (e.g., "curved cyan arc arrow showing orbit", "bold downward arrow labeled VERTICAL PLUNGE") to simulate professional director storyboards. Empty Panels for Re-use: When you need a storyboard panel that serves only as a structural placeholder (e.g., removing a character but keeping the text/layout), prompt the model for an explicitly empty dark frame: "COMPLETELY EMPTY dark panel — solid dark charcoal background, NO photo, NO person, NO image. Just the dark background with a subtle dark grey rectangle placeholder outline."
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.
- 6d ago First seen · 21 lines · 18 tokens per session scan A 7be340559d6b
storyboard-generation is a skill published in the GitHub repository alecs5am/ralphy (133 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 561 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
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