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 2ykwang/agent-skills --skill html-visualgit clone --depth 1 https://github.com/2ykwang/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/2ykwang/agent-skills/html-visual)<a href="https://agentmods.dev/skills/2ykwang/agent-skills/html-visual"><img src="https://agentmods.dev/badge/skills/2ykwang/agent-skills/html-visual/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/2ykwang/agent-skills/html-visual"><img src="https://agentmods.dev/badge/skills/2ykwang/agent-skills/html-visual.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00111 | $0.01356 |
| Opus 5.5 | $0.00044 | $0.00542 |
| Sonnet 5.5 | $0.00022 | $0.00271 |
| Haiku 4.5 | $0.00011 | $0.00136 |
Grade A, and why
html-visual 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HTML Visualization
Input
$ARGUMENTS
Instructions
Visualize the user's request as an interactive single HTML file.
First, read references/common-rules.md to review common rules.
Type Determination
Determine the type from the first word of $ARGUMENTS.
| Argument | Type | Filename Pattern |
|---|---|---|
mockup |
UI mockup (high-fidelity) | mockup-{name}.html |
wireframe |
Wireframe (low-fidelity, hand-drawn style) | wireframe-{name}.html |
erd |
ERD | erd-{name}.html |
flow |
Flowchart / Sequence diagram | flow-{name}.html |
chart |
Data chart | chart-{name}.html |
slides |
Presentation | slides-{name}.html |
arch |
Architecture diagram | arch-{name}.html |
dashboard |
Composite dashboard | dashboard-{name}.html |
timeline |
Timeline / Gantt chart | timeline-{name}.html |
mindmap |
Mindmap | mindmap-{name}.html |
kanban |
Kanban board | kanban-{name}.html |
table |
Interactive data table | table-{name}.html |
No match: Infer the type from the request content. If unable to infer, ask the user.
When inferred, use visual-{name}.html as the filename.
{name} rule: Extract the core noun from the request and convert to kebab-case. e.g., "user login form" → login-form, "payment flow" → payment-flow.
Input Handling
- File path provided: Read and analyze the file, then visualize.
e.g.,
/html-visual erd schema.prisma→ Analyze the Prisma schema to auto-generate ERD - Existing HTML modification: Read and modify the existing file. Do not recreate from scratch.
- Natural language only: Infer the type, then generate.
Context Gathering
- Description is sufficient: Generate immediately (e.g., "simple login form mockup")
- Project code reference needed: Read code/schema/API first (e.g., "our project's ERD", "current payment flow")
- Criterion: If the request contains project context references like "our", "current", "project's", read the code first.
What ships with it
4 files 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 · 140 lines · 111 tokens per session scan A 69e6e85c1f4d
html-visual is a skill published in the GitHub repository 2ykwang/agent-skills (19 stars, last pushed 2mo ago), licensed MIT. It adds 111 tokens to every session and 1,356 once invoked, about $0.0004 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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