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 agentmods add skills/abilityai/cornelius/create-explanatory-imagenpx skills add Abilityai/cornelius --skill create-explanatory-imagegit clone --depth 1 https://github.com/Abilityai/corneliusWrote 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/abilityai/cornelius/create-explanatory-image)<a href="https://agentmods.dev/skills/abilityai/cornelius/create-explanatory-image"><img src="https://agentmods.dev/badge/skills/abilityai/cornelius/create-explanatory-image.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.02692 |
| Opus 5 | $0.00026 | $0.01346 |
| Sonnet 5 | $0.00010 | $0.00538 |
| Haiku 4.5 | $0.00005 | $0.00269 |
Grade A, and why
create-explanatory-image 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 4d 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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Explanatory Image
Purpose
Generate explanatory diagrams and infographics that clearly communicate a concept, iterating autonomously until the images are logically correct, text is accurate, and the visual explanation lands.
State Dependencies
| Source | Location | Read | Write | Description |
|---|---|---|---|---|
| Best practices | .claude/skills/nano-banana-image-generator/best_practices.md |
yes | Prompt engineering constraints and style guide | |
| Generate script | .claude/skills/nano-banana-image-generator/scripts/generate_image.py |
yes | Image generation API | |
| Output folder | User-specified or auto-created | yes | Final and intermediate images |
Prerequisites
GOOGLE_API_KEYorGEMINI_API_KEYset in.env- Nano Banana image generator scripts available at
.claude/skills/nano-banana-image-generator/scripts/
Inputs
- Concept description: What the diagram should explain (from user message or arguments)
- Output folder (optional): Where to save images. Default: auto-created folder named after the concept in current directory
- Style (optional):
dark(black bg, brand style) orwarm(charcoal bg, illustrated). Default:warm - Aspect ratio (optional):
16:9,1:1,9:16. Default:16:9 - Variant count (optional): How many initial variants. Default: 3
Process
Step 1: Read Current State
-
Read
.claude/skills/nano-banana-image-generator/best_practices.md- Note complexity limits: 10 boxes max, 10 text labels max, 3 hierarchy levels max
- Note known model limitations (misspellings on 4+ syllable words, font inconsistency)
-
Confirm output folder:
- If user specified a folder, use it
- Otherwise, create:
[concept_slug]_diagrams/in current directory mkdir -p [folder]
Step 2: Decompose the Concept
Analyze the user's concept description and break it down:
- Core message: What single insight should the viewer walk away with?
- Visual elements: List all shapes, icons, nodes, connections needed
- Text labels: List every text string that will appear in the image
- Layout type: Identify the best diagram type:
- Framework (central concept + surrounding elements)
- Before/after comparison
- Flow/process (horizontal or vertical)
- Circular loop/cycle
- Visual metaphor
- Timeline/evolution
- Cross-section/exploded view
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.
- 4d ago First seen · 278 lines · 51 tokens per session scan A 4f2cba7b7c0c
create-explanatory-image is a skill published in the GitHub repository Abilityai/cornelius (105 stars, last pushed 11d ago), licensed MIT. It adds 51 tokens to every session and 2,692 once invoked, about $0.0003 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 2026-08-30.
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