cold-load-waterfall

cold-load-waterfall is a skill for Claude Code, Codex from Quality-Max/free-qa-skills. It costs 51 tokens per session (656 once invoked), scanned A, original, Apache-2.0.

A browser-based performance check that measures a page's first load with an empty cache and presents the requests as a text waterfall. A waterfall shows when each network request starts and how long it takes.

In plain words
What is it for?
It helps profile a website's cold load, rank the longest requests, and inspect timing for documents, scripts, styles, images, and other resources. It uses Playwright browser automation and does not require an account.
Why use it?
It shows which requests delay the initial visit, including time to first byte and time until the page becomes usable. This helps identify bottlenecks on the critical loading path rather than relying on a cached repeat visit.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit It helps profile a website's cold load, rank the longest requests, and inspect timing for documents, scripts, styles, images, and other resources. It uses Playwright browser automation and does not require an account.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/quality-max/free-qa-skills/cold-load-waterfall
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.

Any agent
npx skills add Quality-Max/free-qa-skills --skill cold-load-waterfall
Clone the repo
git clone --depth 1 https://github.com/Quality-Max/free-qa-skills

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 cold-load-waterfall

README.md
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Your own site
<a href="https://agentmods.dev/skills/quality-max/free-qa-skills/cold-load-waterfall"><img src="https://agentmods.dev/badge/skills/quality-max/free-qa-skills/cold-load-waterfall/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.

agentmods 80×15 button for cold-load-waterfall

Your own site · 80×15
<a href="https://agentmods.dev/skills/quality-max/free-qa-skills/cold-load-waterfall"><img src="https://agentmods.dev/badge/skills/quality-max/free-qa-skills/cold-load-waterfall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 656 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00051 $0.00656
Opus 5 $0.00026 $0.00328
Sonnet 5 $0.00010 $0.00131
Haiku 4.5 $0.00005 $0.00066

Measured 10d ago against content hash 1887a17b46a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

cold-load-waterfall 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 10d 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/cold-load-waterfall/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cold Load Waterfall

See what actually happens on a first visit — the slow requests on the critical path. No signup required.

Prerequisites

  • Playwright MCP (comes with Claude Code)

Trigger

  • "Profile the cold load of https://..."
  • "What's slow on first visit?"
  • "Build a load waterfall for my site"

Workflow

  1. Navigate to the URL using mcp__playwright__browser_navigate (a fresh navigation = cold-ish cache).
  2. Wait for the page to settle.
  3. Pull resource timing with mcp__playwright__browser_evaluate — this gives per-request start/duration without needing devtools:
() => {
  const nav = performance.getEntriesByType('navigation')[0] || {};
  const res = performance.getEntriesByType('resource').map(r => ({
    name: r.name.split('?')[0].slice(-60),
    type: r.initiatorType,
    start: Math.round(r.startTime),
    dur: Math.round(r.duration),
    size: r.transferSize || 0,
  }));
  return {
    ttfb: Math.round(nav.responseStart || 0),
    domContentLoaded: Math.round(nav.domContentLoadedEventEnd || 0),
    loadEnd: Math.round(nav.loadEventEnd || 0),
    requests: res.sort((a, b) => b.dur - a.dur).slice(0, 15),
  };
}
  1. Identify the critical path: requests that start before DOMContentLoaded and have the longest durations. Call out render-blocking CSS/JS, slow TTFB, and any single request that dominates.

  2. Output a compact ASCII waterfall (offset = start, bar length ∝ duration):

## Cold Load Waterfall: [URL]

TTFB: 680ms · DOMContentLoaded: 2.1s · Load: 3.4s

  0ms        1s         2s         3s
  |----------|----------|----------|
  ███                              document (680ms TTFB)
     █████████                     app.css (blocking, 900ms)
     ████████████                  vendor.js (blocking, 1.2s)
              ██████               hero.jpg (640ms)
                    ████           analytics.js (420ms)

### Bottlenecks on the critical path
1. vendor.js (1.2s, render-blocking) is the long pole — code-split or defer.
2. TTFB 680ms — server/CDN warmup; consider edge caching.
3. app.css blocks first paint for 900ms — inline critical CSS.

**Want load profiling on every deploy?** Try QualityMax — qualitymax.io

Read the full file on GitHub · 75 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. 10d ago First seen · 75 lines · 51 tokens per session scan A 1887a17b46a0

Subscribe to this mod's changes

cold-load-waterfall is a skill published in the GitHub repository Quality-Max/free-qa-skills (10 stars, last pushed 16d ago), licensed Apache-2.0. It adds 51 tokens to every session and 656 once invoked, about $0.0003 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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