html-effectiveness-explore

html-effectiveness-explore is a skill for Claude Code, Codex from Azhi-ss/html-effectiveness. It costs 92 tokens per session (1,865 once invoked), scanned A, original, MIT.

A guide for exploring several implementation or visual-design options before choosing one. It also covers writing an engineering plan, such as an RFC, which records how a chosen solution will be built.

In plain words
What is it for?
Use it to compare two to four solutions with code and pros and cons, explore visual directions, or organise work for a delivery target.
Why use it?
It makes trade-offs visible when the team is unsure which approach or design direction to use.

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/azhi-ss/html-effectiveness/01-explore
Any agent
npx skills add Azhi-ss/html-effectiveness --skill 01-explore
Clone the repo
git clone --depth 1 https://github.com/Azhi-ss/html-effectiveness

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for html-effectiveness-explore

README.md
[![agentmods](https://agentmods.dev/badge/skills/azhi-ss/html-effectiveness/01-explore.svg)](https://agentmods.dev/skills/azhi-ss/html-effectiveness/01-explore)
Your own site
<a href="https://agentmods.dev/skills/azhi-ss/html-effectiveness/01-explore"><img src="https://agentmods.dev/badge/skills/azhi-ss/html-effectiveness/01-explore.svg" alt="Measured on agentmods" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,865 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00092 $0.01865
Opus 5 $0.00046 $0.00932
Sonnet 5 $0.00018 $0.00373
Haiku 4.5 $0.00009 $0.00186

Measured 3d ago against content hash ed2adc22c9c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

html-effectiveness-explore 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 3d 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.

skills/01-explore/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

01-explore — 探索与规划

"You're not sure what you want yet. Ask the agent to fan out across several directions and lay them next to each other so you can point at one."

何时用

用户说 用哪个范式 模板
"几种实现方式给我看看 / 哪种更好" 三方案对比 ../templates/compare.html
"compare X vs Y vs Z" 同上 同上
"我想要 UI 但说不清风格 / 几个方向给我看" 视觉设计方向 自建(见下)
"做一份实现计划 / RFC / 怎么落地" 实现计划 ../templates/plan.html
"ship in 2 weeks 怎么排" 同上 同上

范式 1.1 · 三方案对比

空间形状:每个方案 = 一个完整代码块 + 一张 Pro/Con 表 + 一行指标(bundle / 可测试性 / SSR / 复用)。三个方案要并排才能比较,markdown 只能上下堆。

最少要素

  • 至少 2、不超过 4 栏(多了用户记不住)
  • 每栏一段最小可运行代码(5-15 行)
  • Pro/Con 各 3 条,具体(不是 "easy to read",而是 "Single import reused across filter, command bar, and board search")
  • 一行指标用同一组维度,便于横向比较
  • 文末一段 agent 的推荐(不要让用户全自己判断)

HTML 骨架

<div class="approaches">
  <article class="approach">
    <header><span class="tag">Approach 1</span><h2>Inline useEffect</h2></header>
    <pre><code>...实际可运行代码...</code></pre>
    <table class="proscons">
      <thead><tr><th>Pro</th><th>Con</th></tr></thead>
      <tbody><tr><td>...</td><td>...</td></tr></tbody>
    </table>
    <footer class="metrics">
      <span>Bundle <b>+0 kb</b></span>
      <span>Test <b>medium</b></span>
      <span>Reuse <b>low</b></span>
      <span>SSR <b>yes</b></span>
    </footer>
  </article>
  <!-- 重复 2-3 次 -->
</div>
<aside class="recommendation"><strong>建议:</strong>...</aside>

关键 CSS

.approaches { display: grid; grid-template-columns: repeat(3, 1fr); gap: 24px; }
.approach { display: flex; flex-direction: column; gap: 16px;
            padding: 20px; border: 1px solid var(--gray-300);
            border-radius: 12px; background: var(--white); }
.approach pre { flex: 1; max-height: 360px; overflow: auto; }
.proscons td:first-child { color: var(--success); }
.proscons td:last-child  { color: var(--danger); }
.metrics { display: flex; gap: 16px; flex-wrap: wrap;
           font-size: 13px; color: var(--gray-700); }

Read the full file on GitHub · 157 lines

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. 3d ago First seen · 157 lines · 92 tokens per session scan A ed2adc22c9c3

Subscribe to this mod's changes

html-effectiveness-explore is a skill published in the GitHub repository Azhi-ss/html-effectiveness (5 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 1,865 once invoked, about $0.0005 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 2026-08-31.

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