webperf-snippets
Standardizing performance measurement prevents inconsistent debugging and ensures reliable telemetry.
Tested JavaScript snippets that measure and debug web performance. Your AI agent runs them for you, or you run them yourself in DevTools: the same code every time.
- Run tested JavaScript snippets to measure specific web performance metrics
- Debug website speed issues using standardized performance measurement code
- Execute consistent code snippets in DevTools to audit page loading
Standardizing performance measurement prevents inconsistent debugging and ensures reliable telemetry. It enables teams to automate the detection of latency regressions and quantify the impact of code changes on user experience.
Frontend engineers and performance consultants performing repeatable web vitals auditing and debugging.
https://github.com/nucliweb/webperf-snippets
By nucliweb
How to Get It
claude plugins install nucliweb/webperf-snippets
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me run tested JavaScript snippets to measure specific web performance metrics
Trust Signals Auto-scanned
Community Pulse Emerging
Discussed on Hacker News
- Web Performance Snippets — Hacker News · 3 pts
- Web Performance Snippets — Hacker News · 2 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,456 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 1,456 GitHub stars; contributors unknown; last commit 0d ago; license MIT.