core-web-vitals
Improve Core Web Vitals with Targeted Fixes
Slow loading, delayed interactions, and unexpected layout shifts damage page experience. This skill guides evidence-based diagnosis and targeted fixes for LCP, INP, and CLS.
使用我的智慧代理安裝
將此請求複製給你的智慧代理,其中包含權威 Skill 頁面和清單。
Review the Skillstore skill "core-web-vitals" from https://skillstore.io/skills/addyosmani-core-web-vitals.md and its manifest at https://skillstore.io/api/skills/addyosmani-core-web-vitals/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.你的智慧代理仍應顯示其計畫,並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時,請使用這些連結。
測試它
正在使用「core-web-vitals」。 The supplied trace shows the hero image request starts after stylesheet loading.
預期結果:
- Finding: Late image discovery contributes to LCP resource load delay.
- Action: Make the hero image discoverable in initial HTML and give it high fetch priority.
- Verification: Repeat the trace under equivalent conditions; add preload only if discovery remains late.
正在使用「core-web-vitals」。 A banner appears above the article after loading. Only source code is available.
預期結果:
- Hypothesis: The banner may displace visible article content because its space is not reserved.
- Action: Reserve a stable banner slot or choose placement that does not move visible content.
- Verification: Capture the affected state at representative viewports before claiming a CLS failure or improvement.
正在使用「core-web-vitals」。 The supplied interaction trace shows a long task before the click handler begins.
預期結果:
- Finding: Main-thread contention contributes to input delay before event processing.
- Action: Attribute the blocking task and reduce, defer, or split its nonessential work.
- Verification: Repeat the same interaction and confirm that input delay falls without shifting cost to rendering.
安全審計
安全All 50 static findings are false positives involving Markdown formatting, fixed imports, documentation links, example requests, and performance guidance. No evidence found of credential theft, unauthorized execution, data exfiltration, or prompt injection in the four reviewed files.
風險因素
🌐 網路存取 (8)
📁 檔案系統存取 (4)
⚡ 包含腳本 (2)
⚙️ 外部命令 (32)
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據,不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/addyosmani-core-web-vitals/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/addyosmani-core-web-vitals?utm_source=security_passport_badge)HTML 徽章
<a href="https://skillstore.io/skills/addyosmani-core-web-vitals?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/addyosmani-core-web-vitals/security.svg" alt="Skillstore security assessment" loading="lazy"></a>嵌入卡片
<iframe src="https://skillstore.io/embed/skills/addyosmani-core-web-vitals.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>學術引用 (APA · BibTeX · CFF)
APA 引用
addyosmani. (2026). core-web-vitals security audit report (audit version 1) [Author version 2.0]. Skillstore. https://skillstore.io/skills/addyosmani-core-web-vitals/audits/1BibTeX 引用
@techreport{addyosmani-addyosmani-core-web-vitals-2026,
author = {addyosmani},
title = {core-web-vitals security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/addyosmani-core-web-vitals/audits/1},
note = {Author version 2.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "core-web-vitals security audit report (audit version 1)"
version: "2.0"
type: report
authors:
- name: "addyosmani"
date-released: "2026-10-22"
url: "https://skillstore.io/skills/addyosmani-core-web-vitals/audits/1"
identifiers:
- type: other
value: "skillstore:addyosmani-core-web-vitals:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore 評分
評分依據 證據置信度: 中你可以打造什麼
Reduce storefront loading delays
Review a product page trace to identify delayed hero image discovery and prioritize verified LCP fixes.
Investigate slow application interactions
Analyze a sluggish dashboard interaction to distinguish main-thread contention, expensive handlers, and delayed rendering.
Resolve recurring layout shifts
Review a publishing template for unstable embeds, inserted banners, and font changes using trace evidence and responsive verification.
試試這些提示
Explain LCP, INP, and CLS for my page. List their good thresholds and the evidence needed before diagnosing a failure.
Review the supplied page code for likely LCP and CLS risks. Separate hypotheses from measured findings and suggest focused verification steps.
Analyze the supplied interaction trace and field INP data. Identify the dominant delay phase, implicated work, targeted fixes, and an equivalent retest.
Use the supplied CrUX p75 data, traces, and release context to prioritize metric-specific fixes. Define equivalent lab retests and segmented RUM verification.
最佳實務
- Use field evidence to prioritize user impact and browser traces to diagnose the relevant metric.
- Compare measurements under equivalent device, network, page state, and interaction conditions.
- Validate focused code changes in the lab, then wait for new field visits before claiming production improvement.
避免
- Treating a single browser observation as equivalent to a field p75 measurement.
- Adding image preloads, memoization, or font overrides without evidence that they address the measured cause.
- Applying broad prerendering rules without excluding sensitive routes or accounting for early side effects and resource costs.
常見問題
Which metrics does this skill cover?
Can it review source code without a running page?
Which tools can use this skill?
Does it include an automated performance scanner?
Can it confirm field improvements immediately?
Are all referenced measurement guides included?
開發者詳細資訊
作者
addyosmani授權
MIT
作者版本
v2.0
Skillstore 修訂
r1
版本提示
作者聲明的版本不符合 SemVer 規範。
引用
79fc52323997649cbf5ae9e897690d43e1c131ad
維護新鮮度
2026/10/22
使用量
0 次下載 · 0 次瀏覽
檔案結構