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.
npx skills add TimboGP/timbogp-marketplace --skill ux-metricsgit clone --depth 1 https://github.com/TimboGP/timbogp-marketplaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/timbogp/timbogp-marketplace/ux-metrics)<a href="https://agentmods.dev/skills/timbogp/timbogp-marketplace/ux-metrics"><img src="https://agentmods.dev/badge/skills/timbogp/timbogp-marketplace/ux-metrics/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/timbogp/timbogp-marketplace/ux-metrics"><img src="https://agentmods.dev/badge/skills/timbogp/timbogp-marketplace/ux-metrics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00101 | $0.01671 |
| Opus 5 | $0.00051 | $0.00835 |
| Sonnet 5 | $0.00020 | $0.00334 |
| Haiku 4.5 | $0.00010 | $0.00167 |
Grade A, and why
ux-metrics 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 12d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UX metrics
The quantitative measurement layer for UX. Use it to choose meaningful metrics, instrument them, and read the results honestly — covering performance, automated quality scores, analytics events, and self-reported usability.
When to use
Trigger when the user wants to "measure UX", set up or "track LCP/INP/CLS", instrument "Core Web Vitals", interpret a "Lighthouse score", "design analytics events", compute a "SUS score", define "usability metrics", or asks "how do I quantify UX". Detect the project's stack first via ../ux-foundations/references/stack-detection.md and adapt to any analytics or perf library already present.
1. Core Web Vitals
Google's user-centric performance signals. Thresholds (the "good" boundary is the one to design for; "poor" begins past the second number):
| Metric | What it measures | Good | Needs improvement | Poor |
|---|---|---|---|---|
| LCP Largest Contentful Paint | Loading — when the largest content element renders | ≤ 2.5s | 2.5s–4.0s | > 4.0s |
| INP Interaction to Next Paint | Responsiveness — worst-case input latency across the visit | ≤ 200ms | 200ms–500ms | > 500ms |
| CLS Cumulative Layout Shift | Visual stability — unexpected layout movement (unitless) | ≤ 0.1 | 0.1–0.25 | > 0.25 |
INP replaced FID as a Core Web Vital in March 2024 — use INP.
Instrument with the bundled scripts/web-vitals-snippet.js (a copy-paste template using the web-vitals v4 library). It reports each metric to console and an endpoint.
Field vs lab data — distinguish the two and report both when you can:
- Field (RUM) — real users, real devices and networks. The source of truth for CWV (e.g. CrUX, your own
web-vitalsbeacons). Aggregate at the 75th percentile across page loads, per metric. - Lab — synthetic, controlled run (Lighthouse, WebPageTest). Reproducible and good for debugging regressions, but a single device/network — not the user-experienced number. Note: lab cannot measure INP (no real interactions); it reports TBT as a proxy.
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.
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.
- 12d ago First seen · 81 lines · 101 tokens per session scan A 995bd23eda20
ux-metrics is a skill published in the GitHub repository TimboGP/timbogp-marketplace (3 stars, last pushed 2mo ago), licensed MIT. It adds 101 tokens to every session and 1,671 once invoked, about $0.0005 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 2026-08-31.
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unity-ui-patterns
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