Web Performance Lab Agent Skill

Executes multi-run Lighthouse performance measurements, compares build benchmarks, and generates offline verified lab reports.

Context cost
22.9k tokensestimated from the bundle, loaded when it triggers
Bundle
9 of 10 fileshanded out here; the rest is at its source
Licence
Apache-2.0the author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Use when repeatable Lighthouse measurements are needed for a public web page, a performance claim must be checked across multiple runs, two web builds need a protocol-compatible comparison, or verified evidence should be rendered as an offline HTML report.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

analyticsperformance

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md7.5 kB · preview
--- name: web-performance-lab ---
6# Web Performance Lab
7
8用 Skill 目录内的 scripts/webperf 执行命令。它提供合成实验室测量;desktop-observed-v1 只是本机未模拟节流的 observed run,不是 field data、CrUX 或 RUM。
9
10## 测量纪律
11
12- 正式验收使用一次 collect --runs 5 生成的一个 bundle;禁止把单次分数当成结论,也不要把 5 次测量拆成 5 个 bundle。
13- 当用户只给 URL、未指定形态时,Skill 默认选择 mobile-lab-v1;明确要求 desktop 时选择 desktop-lab-v1;只有用户明确要求本机未模拟、unthrottled 或 observed 观察时才选择 desktop-observed-v1。CLI 本身仍要求显式传入 --profile。
14- 比较前分别 inspect 两个 bundle。只比较状态为 OK 且 protocol fingerprint 完全一致的 bundle;observed 与 lab 之间不比较。
15- 把 evidence 写入仓库外或已忽略的运行目录,绝不 git add。其中可能包含原始 Lighthouse 报告。
16- 报告 median,并同时读取 MAD、IQR、范围和 warnings。Performance Score 使用 Lighthouse 每次给出的官方 score,不从指标中重算。
17
18## HTML 产出策略
19
20- 默认链路到终端/JSON 结果即结束,禁止自动生成 HTML。CLI 始终非交互,不在命令执行中询问用户。
21- 用户在初始请求中明确要求 HTML、可分享报告或离线产物时,先完成 collect + inspect(比较任务还要完成 compare),再直接生成,不需要二次确认。
22- 用户只要求测试、分析或比较时,先交付结论;链路完整后最多提示一次。OK 使用“已验证 evidence,可直接生成离线 HTML,无需重跑 Lighthouse。”;符合下一条的 PARTIAL 则明确提示“可生成 DIAGNOSTIC ONLY 离线 HTML,但不是验收报告”。只有用户同意后才生成。用户明确说只要数字、不要报告时,不生成也不提示。
23- 状态为 OK 的 bundle 可生成 verified lab evidence report。inspect 顶层为 INCONCLUSIVE、但 data.status=PARTIAL 且 data.aggregateAvailable=true 的完整可验证 bundle,只能生成醒目标记为 DIAGNOSTIC ONLY 的单站诊断报告,不能称为验收报告;其它 INCONCLUSIVE、损坏、无法校验或没有 aggregate 的 evidence 拒绝生成。
24- 单站默认一份 HTML;不含 query 参数的同一 requested URL,其多个不同 profile 可用重复 --run 合并为一份。由于 query value 在 evidence 中脱敏,含 query 的 target 不合并多个 profile。baseline/candidate 默认一份 comparison HTML。每次 Lighthouse 自带的原生 HTML 默认生成 0 份。
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md458 words
Files9
LicenceApache-2.0
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈80
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
22,795
on trigger
The instruction body and 8 supporting files, read only when the skill fires.
11.4%
of a 200k window
Ten skills this size would not fit in the window together.
050k100k150k200k context window

22.9k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

The download carries 9 of the 10 files in its source folder; the list here names 9 files, 96.5 kB on disk. Mostly text — the instructions the model reads — with 1 script in it that your client would run only if the instructions tell it to. The other one is not in the download, nor are 52 files of types a skill download does not carry — listed after these, with why.

  • SKILL.md7.5 kB
  • agents/openai.yaml0.3 kB
  • references/cli-contract.md8.5 kB
  • references/measurement-protocol.md5.3 kB
  • scripts/launcher.mjs5.0 kB
  • scripts/webperf-go/internal/report/template.html15.6 kB
  • scripts/webperf-go/internal/engine/npm/package.json0.1 kB

Not in the download

Not carried is a type a skill download does not hold. Marked read: its SKILL.md or scripts name the file, so without it the skill works only in part. Take them from its source.

  • scripts/webperfread · not carried
  • scripts/webperf-go/cmd/webperf/main.gonot carried
  • scripts/webperf-go/cmd/webperf/main_test.gonot carried
  • scripts/webperf-go/go.modnot carried
  • scripts/webperf-go/internal/app/app.gonot carried
  • scripts/webperf-go/internal/app/app_test.gonot carried
  • scripts/webperf-go/internal/app/report_platform_other_test.gonot carried
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 1 script beside the text, so the download is 9 files — not the whole of its source: 53 files are left out, and the skill reads one of them. They are listed under the files, with why. The Apache-2.0 licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Web Performance Lab · 22.9k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/web-performance-lab/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/web-performance-lab" ] && { [ ! -e .claude/skills/web-performance-lab ] || { mv .claude/skills/web-performance-lab "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/web-performance-lab" .claude/skills/ && echo "Installed .claude/skills/web-performance-lab"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add julcyan/web-performance-lab

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/web-performance-lab/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/web-performance-lab/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/web-performance-lab" ] && { [ ! -e ~/.claude/skills/web-performance-lab ] || { mv ~/.claude/skills/web-performance-lab "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/web-performance-lab" ~/.claude/skills/ && echo "Installed ~/.claude/skills/web-performance-lab" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/web-performance-lab/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. Not in this download: 53 files of its source, 1 of them read by its SKILL.md or scripts (the full list, and why). Take them from its source.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencejulcyan/web-performance-lab

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

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