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 owainlewis/agent-skills --skill explain-visuallygit clone --depth 1 https://github.com/owainlewis/agent-skillsWrote 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/owainlewis/agent-skills/explain-visually)<a href="https://agentmods.dev/skills/owainlewis/agent-skills/explain-visually"><img src="https://agentmods.dev/badge/skills/owainlewis/agent-skills/explain-visually/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/owainlewis/agent-skills/explain-visually"><img src="https://agentmods.dev/badge/skills/owainlewis/agent-skills/explain-visually.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 | $0.00060 | $0.00596 |
| Opus 5.5 | $0.00024 | $0.00238 |
| Sonnet 5.5 | $0.00012 | $0.00119 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
explain-visually 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explain visually
Build an HTML page that explains a concept with text, examples, and diagrams.
Understand the source
- Read the relevant source material.
- Identify the audience, main point, components, sequence, decisions, tradeoffs, and useful next action.
- Separate verified facts from assumptions. Do not invent missing behaviour.
- Choose the relationships that are easier to explain with a visual.
Shape the explanation
Lead with the answer. Use a small number of sections. Each section should explain one part.
Use concrete titles. Define jargon before using it. Prefer real names, paths, commands, interfaces, states, and observed behaviour to generic labels.
Include a before-and-after, sequence, comparison, hierarchy, or state change only when the source supports it. End with what the reader should do next. Do not repeat the summary.
Build the artifact
- Create one self-contained HTML file unless the user requests another structure.
- Use semantic HTML, inline CSS, and inline SVG. Avoid runtime dependencies unless the project already provides them or the user asks for them.
- Choose colours, fonts, and layout that fit the subject. Do not reuse the same palette, font pairing, dashboard, or slide template by default.
- Use responsive type and spacing. Let mobile sections grow naturally instead of preserving a desktop aspect ratio.
- Use SVG for flows, relationships, states, and architecture. Use HTML and CSS for comparisons, timelines, cards, and annotated examples.
- Keep labels short and place the explanation beside the visual.
- For three or more components, build the diagram in stages. Redraw the previous state and add one component at a time.
- Add interaction only when it teaches something, such as changing an input, revealing a state, or comparing two cases.
- Make controls keyboard accessible and give meaningful graphics a text equivalent.
Do not add charts, gradients, icons, or motion unless they help explain the source material.
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 · 55 lines · 60 tokens per session scan A 877cc5eeebd9
explain-visually is a skill published in the GitHub repository owainlewis/agent-skills (44 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 596 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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