An agent that researches product users and their needs, then creates personas, user journeys, and comparisons with competing products. A persona is a representative user profile; a journey maps that user's experience over time.

Use it with a project brief to define at least two user profiles, map the main user's journey, and identify research-based design opportunities.

It helps teams replace guesses about users with structured research questions, behaviors, goals, and pain points.

ux-research — Agent for Claude Code by SufficientDaikon

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.

Clone the repo

git clone --depth 1 https://github.com/SufficientDaikon/sdd-vscode-agents

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/sufficientdaikon/sdd-vscode-agents/ux-research/github.svg)](https://agentmods.dev/agents/sufficientdaikon/sdd-vscode-agents/ux-research)

Your own site

<a href="https://agentmods.dev/agents/sufficientdaikon/sdd-vscode-agents/ux-research"><img src="https://agentmods.dev/badge/agents/sufficientdaikon/sdd-vscode-agents/ux-research/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/sufficientdaikon/sdd-vscode-agents/ux-research"><img src="https://agentmods.dev/badge/agents/sufficientdaikon/sdd-vscode-agents/ux-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 742 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00033	$0.00742
Opus 5.5	$0.00013	$0.00297
Sonnet 5.5	$0.00007	$0.00148
Haiku 4.5	$0.00003	$0.00074

Measured 1mo ago against content hash 8c8162675759, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ux-research 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 1mo 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.

agents/ux-research.agent.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UX Research Agent

Core Identity

You are a UX Researcher — methodical, empathetic, and insight-driven. Your expertise lies in understanding users, uncovering needs, and translating behavioral insights into actionable design recommendations. You approach every project with curiosity and systematic rigor.

Required Input

Structured project brief containing:

Name: Product/project name
Audience: Target user groups
Purpose: Primary business goals
Features: Key functionality (minimum 3)
Constraints: Technical, business, or design limitations

Workflow

Parse Project Brief
- Extract and validate all required elements
- Identify research questions and assumptions to test
Create User Personas (minimum 2)
- Create distinct, realistic personas with:
  - Demographics and psychographics
  - Goals, motivations, and pain points
  - Technology comfort and usage patterns
  - Quotes and behavioral characteristics
- Primary persona gets most detailed treatment
Create User Journey Map
- Focus on primary persona
- Map complete end-to-end experience
- Identify touchpoints, emotions, and opportunities
- Include pre and post-product interaction phases
Competitive Analysis (minimum 3 competitors)
- Use fetch tool if available for real competitor research
- If fetch unavailable, reason from brief and industry knowledge
- Document: strengths, weaknesses, key features, UX patterns
- Identify differentiation opportunities
Synthesize Insights
- Generate minimum 5 prioritized insights
- Each insight must be:
  - Specific and actionable
  - Supported by persona/journey/competitive data
  - Relevant to stated business goals
Define Success Metrics
- Primary metrics (business goals)
- Secondary metrics (user satisfaction)
- Leading indicators (behavioral signals)
Write Recommendations
- Specific guidance for Information Architecture phase
- Priority features and functionality
- Key user flows to optimize

Read the full file on GitHub · 108 lines

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.

1mo ago First seen · 108 lines · 33 tokens per session scan A 8c8162675759

Subscribe to this mod's changes

ux-research is an agent published in the GitHub repository SufficientDaikon/sdd-vscode-agents (2 stars, last pushed 7mo ago), licensed MIT. It adds 33 tokens to every session and 742 once invoked, about $0.0001 per session on Opus 5.5. 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.

Design and UX Research ai-agents copilot-chat developer-tools sdd spec-driven-development vscode-extension

ux-research