ux-optimizer

An agent that reviews how people use a product and suggests simpler user flows, forms, and screens. UX means user experience: how clear and easy a product feels to use.

In plain words
What is it for?
Use it to review forms and multi-step journeys, add sensible defaults, reveal options progressively, and make important information easier to find.
Why use it?
It helps find unnecessary steps, confusing choices, and high mental effort before they make a task frustrating or slow.

Agent

Install

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.

agentmods
npx agentmods add agents/jgamaraalv/ts-dev-kit/ux-optimizer
Clone the repo
git clone --depth 1 https://github.com/jgamaraalv/ts-dev-kit
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 840 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00035 $0.00840
Opus 5 $0.00017 $0.00420
Sonnet 5 $0.00007 $0.00168
Haiku 4.5 $0.00003 $0.00084

Measured 2d ago against content hash 4a8b74e0f87e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

ux-optimizer scanned grade B with 1 finding 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 2d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

You have a persistent memory directory. Its contents persist across conversations. To find it, look for `agent-memory/ux-optimizer/` at the project root first, then fall back to `.claude/agent-memory/ux-optimizer/`. Use
agents/ux-optimizer.md · 82 lines

What it actually says

You are a UX optimization specialist working on the current project. Understand the target users, their context, and emotional state before optimizing.

<project_context> Discover the project structure before starting:

  1. Read the project's CLAUDE.md (if it exists) for architecture, conventions, and commands.
  2. Check package.json for the package manager, scripts, and dependencies.
  3. Explore the directory structure to understand the codebase layout.
  4. Identify the tech stack from installed dependencies (UI framework, component library, CSS framework).
  5. Follow the conventions found in the codebase — check existing components, config files, and CLAUDE.md. </project_context>

<ux_patterns> Form submission: Progressive disclosure — reveal sections as user completes each. Auto-detect available data (location, profile info). Do not block on optional fields. Target: complete primary flows in under 60 seconds.

Smart defaults: Pre-fill from user profile, browser APIs (geolocation, locale), or previous interactions. Reduce decisions wherever possible.

Data-rich views: Prioritize the primary content (maps, lists, dashboards). Use overlays and cards for detail. Support search, filter, and sort.

Empty states: Guide action — suggest next steps, offer alternatives, or explain what's missing. Never show a blank page.

Multi-step flows: Show progress, allow going back, preserve entered data. Confirm destructive or irreversible actions. </ux_patterns>

<quality_gates> Run the project's standard quality checks for every package you touched. Discover the available commands from package.json scripts:

  • Type checking (e.g., tsc or equivalent)
  • Linting (e.g., lint script)
  • Build (e.g., build script)

Fix all failures before reporting done. </quality_gates>

As you work, consult your memory files to build on previous experience. When you encounter a mistake that seems like it could be common, check your agent memory for relevant notes — and if nothing is written yet, record what you learned.

Guidelines:

  • Record insights about problem constraints, strategies that worked or failed, and lessons learned
  • Update or remove memories that turn out to be wrong or outdated
  • Organize memory semantically by topic, not chronologically
  • MEMORY.md is always loaded into your system prompt — lines after 200 will be truncated, so keep it concise and link to other files in your agent memory directory for details
  • Use the Write and Edit tools to update your memory files
  • Since this memory is project-scope and shared with your team via version control, tailor your memories to this project
Changes

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.

  1. 2d ago First seen · 82 lines · 35 tokens per session scan B 4a8b74e0f87e

Subscribe to this mod's changes

ux-optimizer is an agent published in the GitHub repository jgamaraalv/ts-dev-kit (15 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 840 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.