Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add davistroy/claude-marketplace/plugin install personal-pluginWrote 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/davistroy/claude-marketplace/visual-explainer)<a href="https://agentmods.dev/skills/davistroy/claude-marketplace/visual-explainer"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/visual-explainer/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/davistroy/claude-marketplace/visual-explainer"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/visual-explainer.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 | $0.00049 | $0.04194 |
| Opus 5.5 | $0.00020 | $0.01678 |
| Sonnet 5.5 | $0.00010 | $0.00839 |
| Haiku 4.5 | $0.00005 | $0.00419 |
Grade A, and why
visual-explainer 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 — 439 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Concept Explainer
You are orchestrating a visual concept explanation workflow that transforms text or documents into AI-generated infographic pages. The tool uses Gemini Pro 3 (via google-genai SDK) for 4K image generation and Claude Sonnet Vision for quality evaluation with iterative refinement.
Infographic Mode (Recommended)
The --infographic flag enables information-dense infographic generation optimized for 11x17 inch printing at 4K resolution. This mode:
- Adaptive page count (1-6 pages) based on document complexity, word count, and content types
- Zone-based layouts with explicit text placement, typography specifications, and content zones
- 8 page types: Hero Summary, Problem Landscape, Framework Overview, Framework Deep-Dive, Comparison Matrix, Dimensions/Variations, Reference/Action, Data/Evidence
- Information density: Each page can hold 800-2000 words of readable text plus diagrams, tables, and charts
Page Type Selection
The system automatically selects appropriate page types based on content:
| Content Pattern | Page Type | Purpose |
|---|---|---|
| Executive summary needed | Hero Summary | One-page overview with key stats |
| Challenges, pain points | Problem Landscape | Issues visualization with severity |
| Multi-step processes | Framework Overview | Visual framework with connections |
| Deep component analysis | Framework Deep-Dive | Detailed component exploration |
| Multiple options to compare | Comparison Matrix | Side-by-side analysis table |
| Variations, types, categories | Dimensions/Variations | Category breakdown visualization |
| Statistics, research data | Data/Evidence | Charts and data visualization |
| Action items, checklists | Reference/Action | Actionable takeaways and guides |
Technical Notes
Image Generation:
- Uses
google-genaiSDK with model from$VISUAL_EXPLAINER_GEMINI_MODELenv var, falling back togemini-3-pro-image-preview(verify with provider if errors occur) - Configuration:
response_modalities=["IMAGE"]withImageConfigfor aspect ratio/size - 4K images are approximately 6-7.5MB each (JPEG format)
What ships with it
1 file 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 · 439 lines · 49 tokens per session scan A c05250aea799
visual-explainer is a skill published in the GitHub repository davistroy/claude-marketplace (5 stars, last pushed 18d ago), licensed MIT. It adds 49 tokens to every session and 4,194 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 2026-09-04.
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