html-effectiveness-research

html-effectiveness-research is a skill for Claude Code, Codex from Azhi-ss/html-effectiveness. It costs 94 tokens per session (1,589 once invoked), scanned A, original, MIT.

A guide for explaining how a feature works in a code repository or how an abstract technical idea works. It can structure the explanation with a summary, expandable steps, code views, questions and answers, or an interactive visual.

In plain words
What is it for?
Use it to explain repository features such as authentication or request limits, or concepts such as consistent hashing, Raft, and token buckets.
Why use it?
It helps readers understand unfamiliar systems without having to follow a large codebase or a dense explanation all at once.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/07-research
Any agent
npx skills add Azhi-ss/html-effectiveness --skill 07-research
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-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/azhi-ss/html-effectiveness/07-research.svg)](https://agentmods.dev/skills/azhi-ss/html-effectiveness/07-research)
Your own site
<a href="https://agentmods.dev/skills/azhi-ss/html-effectiveness/07-research"><img src="https://agentmods.dev/badge/skills/azhi-ss/html-effectiveness/07-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,589 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 5.1 $0.00094 $0.01589
Opus 5 $0.00047 $0.00794
Sonnet 5 $0.00019 $0.00318
Haiku 4.5 $0.00009 $0.00159

Measured 5d ago against content hash 1fa2773bffdd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

html-effectiveness-research 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 5d 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/07-research/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

07-research — 研究与学习

"An explainer with collapsible sections, tabbed code samples and a glossary in the margin reads very differently from the same words dumped linearly. The agent can build the scaffolding that makes a new topic navigable."

何时用

用户说 用哪个范式 模板
"rate limit 在这个 repo 里怎么工作" 特性解释器 自建(见下)
"auth flow 是什么样的" 特性解释器 同上
"讲讲一致性哈希 / Raft / token bucket" 概念解释器 ../../templates/concept.html
"这是什么 / 我怎么理解 X" 看深度 — markdown 一段或概念解释器

特性解释器 = 在这个 repo 里的具体实现(用户已在仓库内) 概念解释器 = 抽象概念(与具体仓库无关,要交互式可视化)


范式 7.1 · 特性解释器

空间形状:4 段

  1. TL;DR 框 — 一段话讲完核心机制 + 性能数字
  2. 请求路径编号步骤 — 1/2/3/4,每步可折叠看代码
  3. 配置 Tab 切换 — yaml / route.ts / response 三 tab 切换
  4. FAQ<details> 列表

HTML 骨架

<aside class="tldr">
  <strong>TL;DR</strong>
  <p>The whole path is ~40 lines and adds about 0.4 ms p50 to every request.</p>
</aside>

<h2>The request path, step by step</h2>
<ol class="steps">
  <li>
    <span class="num">1</span>
    <h3>Identify the caller <code>middleware/ratelimit.ts:21</code></h3>
    <p>The middleware reduces the request to a <code>bucketKey</code>...</p>
    <details><summary>show source</summary>
      <pre><code>...</code></pre>
    </details>
  </li>
  <!-- 步骤 2-4 -->
</ol>

<h2>Configuring a limit on your route</h2>
<div class="tabs" role="tablist">
  <button role="tab" data-tab="yaml" class="active">limits.yaml</button>
  <button role="tab" data-tab="route">route.ts</button>
  <button role="tab" data-tab="resp">response</button>
</div>
<div class="tab-panels">
  <pre data-panel="yaml" class="active"><code>...</code></pre>
  <pre data-panel="route" hidden><code>...</code></pre>
  <pre data-panel="resp" hidden><code>...</code></pre>
</div>

<h2>FAQ</h2>
<details>
  <summary>How do I exempt internal traffic?</summary>
  <p>Set <code>x-acme-internal: 1</code> from the caller; the middleware checks it against mTLS peer name.</p>
</details>

Read the full file on GitHub · 136 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. 5d ago First seen · 136 lines · 94 tokens per session scan A 1fa2773bffdd

Subscribe to this mod's changes

html-effectiveness-research is a skill published in the GitHub repository Azhi-ss/html-effectiveness (5 stars, last pushed 3mo ago), licensed MIT. It adds 94 tokens to every session and 1,589 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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