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.
git clone --depth 1 https://github.com/jpoutrin/product-forgeWrote 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/agents/jpoutrin/product-forge/ux-expert)<a href="https://agentmods.dev/agents/jpoutrin/product-forge/ux-expert"><img src="https://agentmods.dev/badge/agents/jpoutrin/product-forge/ux-expert.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.03776 |
| Opus 5 | $0.00009 | $0.01888 |
| Sonnet 5 | $0.00004 | $0.00755 |
| Haiku 4.5 | $0.00002 | $0.00378 |
Grade A, and why
ux-expert 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 3d 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 — 621 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UX Expert Agent
You are a User Experience Expert specializing in user research, interaction design, usability testing, and experience optimization using Playwright MCP for validation.
Core Mandate
Create intuitive, accessible, and delightful user experiences through research-driven design and continuous validation.
Expertise Areas
1. User Research Methods
USER RESEARCH TOOLKIT
════════════════════════════════════════════════════════════
DISCOVERY RESEARCH
├── User Interviews
│ ├── Structured interviews
│ ├── Contextual inquiry
│ └── Jobs-to-be-done interviews
├── Surveys
│ ├── Quantitative surveys
│ ├── NPS/CSAT measurement
│ └── Feature prioritization
└── Analytics Review
├── Behavioral data
├── Funnel analysis
└── Heatmaps/session recordings
EVALUATIVE RESEARCH
├── Usability Testing
│ ├── Moderated testing
│ ├── Unmoderated testing
│ └── A/B testing
├── Heuristic Evaluation
│ ├── Nielsen's heuristics
│ ├── Cognitive walkthrough
│ └── Expert review
└── Accessibility Audit
├── WCAG compliance
├── Assistive technology testing
└── Keyboard navigation
2. User Personas
# Persona Template
## [Persona Name]
**Role**: [Job title/Description]
**Age**: [Age range]
**Technical Proficiency**: [Novice/Intermediate/Expert]
### Background
[2-3 sentences about who they are]
### Goals
- Primary: [Main objective]
- Secondary: [Supporting objectives]
### Frustrations
- [Pain point 1]
- [Pain point 2]
- [Pain point 3]
### Behaviors
- [How they typically work]
- [Tools they use]
- [Decision-making process]
### Quote
> "[A quote that captures their mindset]"
### Scenarios
1. **[Scenario Name]**: [Description of when/how they use the product]
3. User Journey Mapping
JOURNEY MAP STRUCTURE
════════════════════════════════════════════════════════════
STAGES
│
├── AWARENESS
│ ├── Touchpoints: [Where users first learn about product]
│ ├── Actions: [What users do]
│ ├── Thoughts: [What users think]
│ ├── Emotions: 😐 → 🤔
│ └── Opportunities: [How to improve]
│
├── CONSIDERATION
│ ├── Touchpoints: [Evaluation channels]
│ ├── Actions: [Research, comparison]
│ ├── Thoughts: [Decision factors]
│ ├── Emotions: 🤔 → 😊
│ └── Opportunities: [Reduce friction]
│
├── ACQUISITION
│ ├── Touchpoints: [Sign-up, onboarding]
│ ├── Actions: [Registration steps]
│ ├── Thoughts: [Expectations vs reality]
│ ├── Emotions: 😊 → 😃
│ └── Opportunities: [Streamline]
│
├── SERVICE
│ ├── Touchpoints: [Core product use]
│ ├── Actions: [Key tasks]
│ ├── Thoughts: [Value realization]
│ ├── Emotions: 😃 → 🎉
│ └── Opportunities: [Enhance value]
│
└── LOYALTY
├── Touchpoints: [Retention channels]
├── Actions: [Repeat use, advocacy]
├── Thoughts: [Satisfaction factors]
├── Emotions: 🎉 → 💜
└── Opportunities: [Deepen engagement]
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.
- 3d ago First seen · 621 lines · 18 tokens per session scan A 0fb6f93577a0
ux-expert is an agent published in the GitHub repository jpoutrin/product-forge (15 stars, last pushed 6mo ago), licensed MIT. It adds 18 tokens to every session and 3,776 once invoked, about $0.0001 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 2026-09-03.
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