Agent skill · Audited from source

web-perf

skill · cloudflare/skillsApache-2.0 licenceAudited 28 Oct 2026 · source b5f2fbcde9d0

★ 3,198pushed today
✓SAFEGrade B · 89/100 · 28 Oct 2026 · b5f2fbc
3,198repo stars · whole cloudflare/skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit b5f2fbcde9d0 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Audit, diagnose, or optimize website loading and interaction performance, Core Web Vitals, and Lighthouse performance scores.

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Cite this page

ModelsAtlas. “web-perf (cloudflare/skills)”. Retrieved 28 Oct 2026. https://modelsatlas.com/skills/cloudflare/web-perf

Trust audit

Audit 0.4.1 · source read 28 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha b5f2fbcde9d0 · 28 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishercloudflare GitHub organizationOwner of the repository this skill is read from
  • Source foldercloudflare/skills/skills/web-perfThe exact folder we audited
  • LicenceApache-2.0As the repository states it
  • Commit pinned for this verdictb5f2fbcde9d0A new audit runs when the source changes
  • Repository statusNot archivedPushed today
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Audit, diagnose, or optimize website loading and interaction performance, Core Web Vitals, and Lighthouse performance scores.

---
name: web-perf
description: Audit, diagnose, or optimize website loading and interaction performance, Core Web Vitals, and Lighthouse performance scores.
---

# Web Performance Audit

Your knowledge of web performance metrics, thresholds, and tooling APIs may be outdated. **Prefer retrieval over pre-training** when citing specific numbers or recommendations.

## Retrieval Sources

| Source | How to retrieve | Use for |
|--------|----------------|---------|
| web.dev | `https://web.dev/articles/vitals` | Core Web Vitals thresholds, definitions |
| Chrome DevTools docs | `https://developer.chrome.com/docs/devtools/performance` | Tooling APIs, trace analysis |
| Lighthouse scoring | `https://developer.chrome.com/docs/lighthouse/performance/performance-scoring` | Score weights, metric thresholds |

## FIRST: Verify MCP Tools Available

Discover available browser and performance tools before starting. Use the capabilities available for the requested audit. If trace tools are unavailable, continue any useful source or network analysis and state which measurements could not be collected.

If the user wants Chrome DevTools MCP setup, consult its [installation guide](https://github.com/ChromeDevTools/chrome-devtools-mcp#quick-start) and use the latest package version. Only change MCP configuration when setup is within the user's authorized scope; otherwise ask first. For clients using `command` and `args`, an example server entry is:

```json
"chrome-devtools": {
  "command": "npx",
  "args": ["-y", "chrome-devtools-mcp@latest"]
}
```

## Key Guidelines

- **Be assertive**: Verify claims by checking network requests, DOM, or codebase—then state findings definitively.
- **Verify before recommending**: Confirm something is unused before suggesting removal.
- **Quantify impact**: Use estimated savings from insights. Don't prioritize changes with 0ms impact.
- **Skip non-issues**: If render-blocking resources have 0ms estimated impact, note but don't recommend action.
- **Be specific**: Say "compress hero.png (450KB) to WebP" not "optimize images".
- **Prioritize ruthlessly**: A site with 200ms LCP and 0 CLS is already excellent—say so.

## Quick Reference

| Task | Tool Call |
|------|-----------|
| Load page | `navigate_page(url: "...")` |
| Start trace | `performance_start_trace(autoStop: true, reload: true)` |
| Analyze insight | `performance_analyze_insight(insightSetId: "...", insightName: "...")` |
| List requests | `list_network_requests(resourceTypes: ["Script", "Stylesheet", ...])` |
| Request details | `get_network_request(reqid: <id>)` |
| A11y snapshot | `take_snapshot(verbose: true)` |

## Workflow

Copy this checklist to track progress:

```
Audit Progress:
- [ ] Phase 1: Performance trace (navigate + record)
- [ ] Phase 2: Core Web Vitals analysis (includes CLS culprits)
- [ ] Phase 3: Network analysis
- [ ] Phase 4: Accessibility snapshot
- [ ] Phase 5: Codebase analysis (skip if third-party site)
```

### Phase 1: Performance Trace

1. Navigate to the target URL:
   ```
   navigate_page(url: "<target-url>")
   ```

2. Start a performance trace with reload to capture cold-load metrics:
   ```
   performance_start_trace(autoStop: true, reload: true)
   ```

3. Wait for trace completion, then retrieve results.

**Troubleshooting:**
- If trace returns empty or fails, verify the page loaded correctly with `navigate_page` first
- If insight names don't match, inspect the trace response to list available insights

### Phase 2: Core Web Vitals Analysis

Use `performance_analyze_insight` to extract key metrics.

**Note:** Insight names may vary across Chrome DevTools versions. If an insight name doesn't work, check the `insightSetId` from the trace response to discover available insights.

Common insight names:

| Metric | Insight Name | What to Look For |
|--------|--------------|------------------|
| LCP | `LCPBreakdown` | Time to largest contentful paint; breakdown of TTFB, resource load, render delay |
| CLS | `CLSCulprits` | Elements causing layout shifts (images without dimensions, injected content, font swaps) |
| Render Blocking | `RenderBlocking` | CSS/JS blocking first paint |
| Document Latency | `DocumentLatency` | Server response time issues |
| Network Dependencies | `NetworkRequestsDepGraph` | Request chains delaying critical resources |

Example:
```
performance_analyze_insight(insightSetId: "<id-from-trace>", insightName: "LCPBreakdown")
```

**Key thresholds (good/needs-improvement/poor):**
- TTFB: < 800ms / < 1.8s / > 1.8s
- FCP: < 1.8s / < 3s / > 3s
- LCP: < 2.5s / < 4s / > 4s
- INP: < 200ms / < 500ms / > 500ms
- TBT: < 200ms / < 600ms / > 600ms
- CLS: < 0.1 / < 0.25 / > 0.25
- Speed Index: < 3.4s / < 5.8s / > 5.8s

### Phase 3: Network Analysis

List all network requests to identify optimization opportunities:
```
list_network_requests(resourceTypes: ["Script", "Stylesheet", "Document", "Font", "Image"])
```

**Look for:**

1. **Render-blocking resources**: JS/CSS in `<head>` without `async`/`defer`/`media` attributes
2. **Network chains**: Resources discovered late because they depend on other resources loading first (e.g., CSS imports, JS-loaded fonts)
3. **Missing preloads**: Critical resources (fonts, hero images, key scripts) not preloaded
4. **Caching issues**: Missing or weak `Cache-Control`, `ETag`, or `Last-Modified` headers
5. **Large payloads**: Uncompressed or oversized JS/CSS bundles
6. **Unused preconnects**: If flagged, verify by checking if ANY requests went to that origin. If zero requests, it's definitively unused—recommend removal. If requests exist but loaded late, the preconnect may still be valuable.

For detailed request info:
```
get_network_request(reqid: <id>)
```

### Phase 4: Accessibility Snapshot

Take an accessibility tree snapshot:
```
take_snapshot(verbose: true)
```

**Flag high-level gaps:**
- Missing or duplicate ARIA IDs
- Elements with poor contrast ratios (check against WCAG AA: 4.5:1 for normal text, 3:1 for large text)
- Focus

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit b5f2fbc

Download folder ↗
git clone https://github.com/cloudflare/skills
git -C skills checkout b5f2fbcde9d0

The author documents no install command, so this uses the repository directly. Our verdict covers commit b5f2fbcde9d0 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source b5f2fbcde9d0

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/cloudflare/web-perf/badge.svg)](https://modelsatlas.com/skills/cloudflare/web-perf/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

Add this badge to your README

[![ModelsAtlas: SAFE B](https://modelsatlas.com/skills/cloudflare/web-perf/badge.svg)](https://modelsatlas.com/skills/cloudflare/web-perf/)

Questions about web-perf

What does the web-perf skill do?
Skills for teaching agents how to build on Cloudflare.
Is web-perf safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can web-perf access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (b5f2fbcde9d0), read on 2026-10-28. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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