visualization

A skill for publishing interactive HTML visualizations—web pages with controls such as buttons, sliders, quizzes, and branching choices—to a live URL using Cloudflare Workers.

In plain words
What is it for?
It is for quizzes, what-if explorers, decision trees, causal if-then tools, and step-by-step interactive flows.
Why use it?
It helps turn explanations and decisions into something people can click through, rather than limiting them to static text or charts.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/gpdir16/tabyagent/visualization
Any agent
npx skills add gpdir16/tabyAgent --skill visualization
Clone the repo
git clone --depth 1 https://github.com/gpdir16/tabyAgent

Made for: Claude Code, Codex.

Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,333 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00072 $0.01333
Opus 5 $0.00036 $0.00666
Sonnet 5 $0.00014 $0.00267
Haiku 4.5 $0.00007 $0.00133

Measured 2d ago against content hash b3c02fef14e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

visualization 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 2d 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.

codes/skills/visualization/SKILL.md · 114 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

3 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.

Changes

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.

  1. 2d ago First seen · 114 lines · 72 tokens per session scan A b3c02fef14e6

Subscribe to this mod's changes

visualization is a skill published in the GitHub repository gpdir16/tabyAgent (18 stars, last pushed 10d ago), licensed AGPL-3.0. It adds 72 tokens to every session and 1,333 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

copilotkit-self-update

Use when the user wants to update, refresh, or reinstall the CopilotKit agent SKILLS (the SKILL.md files that teach this agent about CopilotKit). NOT for updating the CopilotKit codebase or project — this is specifically about refreshing the skills/knowledge this agent has loaded. Triggers on "update copilotkit…

CopilotKit/CopilotKit · 144 tokens

learn-from-sage

Detection-gap (miss) analysis for Code Review Sage. Learn from shipped fixes, acted-on human comments, and design outcomes to close reviewer blind spots. Inline during review stages a candidate; a human triggers a one-shot AI consolidation into the live ruleset.

kirodotdev/KiroCrew · 56 tokens

output-format

结构化医学学习产物的统一格式校验。四条硬格式与 validateoutput.py 单次标准输入流程。指南章节、路径图、诊断、备考、医保、更新和每日单元使用;普通医学问答走 clinical-q-and-a 的轻量自检,通用任务不套用。.

TencentCloud/Octop · 72 tokens

grill

Structured questioning to reach shared understanding before action. Walks the decision tree one branch at a time, checks memory for already-answered questions, saves every answer as a lesson. Use when user wants to think through a plan, align on approach, poke holes in a design, or figure out decisions before…

kirodotdev/KiroCrew · 127 tokens

skill-creator

Create, edit, improve, tidy, review, audit, or restructure memmy-agent skills and SKILL.md files.

MemTensor/memmy-agent · 28 tokens

skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

CreminiAI/skillpack · 64 tokens