webperf-resources

A set of browser scripts for measuring network conditions and assessing how web resources behave on different connections. It can examine connection type, bandwidth, response time, downlink speed, and the browser's data-saving preference.

In plain words
What is it for?
Use it in Chrome DevTools to assess network quality, investigate slow loading, and guide adaptive-loading work alongside related performance checks.
Why use it?
It helps identify which loading improvements may matter on slow or limited connections, such as compressing images or delaying nonessential resources.

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/nucliweb/webperf-snippets/webperf-resources
Any agent
npx skills add nucliweb/webperf-snippets --skill webperf-resources
Clone the repo
git clone --depth 1 https://github.com/nucliweb/webperf-snippets

Made for: Claude Code, Codex.

Per session 172 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,988 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 $0.00172 $0.01988
Opus 5 $0.00086 $0.00994
Sonnet 5 $0.00034 $0.00398
Haiku 4.5 $0.00017 $0.00199

Measured 2d ago against content hash 88baa0db169e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

webperf-resources 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/Network-Bandwidth-Connection-Quality.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/webperf-resources/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

WebPerf: Resources & Network

JavaScript snippets for measuring web performance in Chrome DevTools. Execute with mcp__chrome-devtools__evaluate_script, capture output with mcp__chrome-devtools__get_console_message.

Scripts

  • scripts/Network-Bandwidth-Connection-Quality.js — Network Bandwidth & Connection Quality

Common Workflows

Network Quality Assessment

When the user asks about network performance, connection quality, or adaptive loading:

  1. Network-Bandwidth-Connection-Quality.js - Analyze network bandwidth, effective connection type, RTT, downlink, save-data mode

Adaptive Loading Strategy

When implementing adaptive loading or the user asks "how to optimize for slow connections":

  1. Network-Bandwidth-Connection-Quality.js - Detect connection quality
  2. Cross-reference with webperf-loading skill:
    • TTFB.js (measure server response on slow connections)
    • Find-render-blocking-resources.js (identify heavy resources to defer)
    • Resource-Hints-Validation.js (optimize preconnect for slow networks)
  3. Cross-reference with webperf-media skill:
    • Image-Element-Audit.js (implement responsive images based on connection)
    • Video-Element-Audit.js (adjust video quality based on connection)

Save-Data Mode Detection

When the user asks about save-data or data-saving features:

  1. Network-Bandwidth-Connection-Quality.js - Check if save-data is enabled
  2. If save-data is enabled, recommend:
    • Reducing image quality
    • Disabling autoplay videos
    • Deferring non-critical resources
    • Using low-res thumbnails

Mobile/Slow Connection Optimization

When the user asks "optimize for mobile" or "slow connection users":

  1. Network-Bandwidth-Connection-Quality.js - Assess connection type
  2. Cross-reference with webperf-loading skill:
    • TTFB.js (critical for slow connections)
    • Find-render-blocking-resources.js (minimize blocking on slow networks)
    • Critical-CSS-Detection.js (inline critical CSS to reduce RTT)
    • Prefetch-Resource-Validation.js (avoid excessive prefetch on slow connections)

Read the full file on GitHub · 199 lines

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 · 199 lines · 172 tokens per session scan A 88baa0db169e

Subscribe to this mod's changes

webperf-resources is a skill published in the GitHub repository nucliweb/webperf-snippets (1,445 stars, last pushed 1mo ago), licensed MIT. It adds 172 tokens to every session and 1,988 once invoked, about $0.0009 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

module_bottleneck

Find slowest PyTorch modules in recent steps.

DeepLink-org/probing · 15 tokens

geo-technical

Technical SEO audit with GEO-specific checks — crawlability, indexability, security, performance, SSR, and AI crawler access.

zubair-trabzada/geo-seo-claude · 28 tokens

evalscope

LLM evaluation & inference performance testing via the evalscope CLI. Translates natural language requests into evalscope commands for: (1) Model accuracy evaluation — runs 160+ benchmarks against local checkpoints or API endpoints (OpenAI-compatible, Anthropic, LiteLLM); (2) Performance stress testing — TTFT, TPOT…

modelscope/evalscope · 197 tokens

hotpath_init

Configure hotpath profiling in a Rust project. Adds the hotpath dependency with feature-gated setup, instruments main with hotpath::main, functions with measure/measureall, and wraps channels, mutexes, rwlocks, streams, futures, reqwest clients, axum routers and byte-level I/O with hotpath macros. Use when the user…

pawurb/hotpath-rs · 88 tokens

opentelemetry-net-instrumentation

Provides guidance for implementing OpenTelemetry instrumentation in .NET codebases, covering tracing (Activities/Spans), metrics, logs, naming conventions, error handling, performance, SDK setup, resources, context propagation, and API design best practices.

Aaronontheweb/dotnet-skills · 56 tokens

hardwood-review

Review a Hardwood PR, local branch, or staged diff against the project's CLAUDE.md conventions and recurring failure modes. Use whenever the user asks to "review", "look over", "check", "audit", or "assess" a PR number, a branch, or pending changes in the hardwood-hq/hardwood repo. Also use when the user pastes a PR…

hardwood-hq/hardwood · 102 tokens