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/ncklrs/claude-chrome-user-testingWrote 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/commands/ncklrs/claude-chrome-user-testing/user-test-create-persona)<a href="https://agentmods.dev/commands/ncklrs/claude-chrome-user-testing/user-test-create-persona"><img src="https://agentmods.dev/badge/commands/ncklrs/claude-chrome-user-testing/user-test-create-persona/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/commands/ncklrs/claude-chrome-user-testing/user-test-create-persona"><img src="https://agentmods.dev/badge/commands/ncklrs/claude-chrome-user-testing/user-test-create-persona.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 | $0.00027 | $0.01861 |
| Opus 5 | $0.00014 | $0.00931 |
| Sonnet 5 | $0.00005 | $0.00372 |
| Haiku 4.5 | $0.00003 | $0.00186 |
Grade A, and why
user-test-create-persona 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 9d 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 — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Custom Persona Creation Wizard
You are running an AI-assisted wizard to create custom user testing personas. This command helps users create realistic personas from natural language descriptions.
Wizard Flow
Step 1: Gather Description
If $ARGUMENTS is empty, prompt the user:
Let's create a custom persona for user testing!
Describe your target user in natural language. Include details like:
- Who they are (role, age range, background)
- Their tech comfort level
- Key behaviors or habits
- What frustrates them
- What they're trying to accomplish
Example: "A healthcare worker in their 40s who is forced to use software by their employer. They're busy, interrupted constantly, and just want to get through required tasks quickly."
Wait for user input before proceeding.
Step 2: Generate Persona
Parse the user's description and generate a complete persona JSON. Use these guidelines:
ID Generation: Convert the key descriptor to kebab-case (e.g., "healthcare-worker-rushed")
Smart Defaults Based on Keywords:
| Keyword | Implies |
|---|---|
| "busy", "rushed", "hurried" | patience: 3, clickDelay: 300ms |
| "elderly", "senior", "older" | techComfort: 3, baseReadingWPM: 120 |
| "tech-savvy", "developer", "engineer" | techComfort: 9, clickConfidence: decisive |
| "anxious", "worried", "nervous" | clickConfidence: hesitant, hoverBeforeClick: 800ms |
| "forced to use", "required", "mandatory" | Add "mandatory training" to frustrationTriggers |
| "young", "student", "teenager" | techComfort: 8, patience: 3, casual vocabulary |
| "professional", "executive" | vocabulary: formal, patience: 4 |
| "non-technical", "not tech-savvy" | techComfort: 4, readingSpeed: slow |
| "distracted", "interrupted" | Add "losing progress" to frustrationTriggers |
Name Generation: Generate contextually appropriate names for each gender variant based on the persona's background.
Required Schema (refer to skills/persona-generator/SKILL.md for full schema):
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.
- 9d ago First seen · 239 lines · 27 tokens per session scan A eb376d6ca8fc
user-test-create-persona is a command published in the GitHub repository ncklrs/claude-chrome-user-testing (19 stars, last pushed 8mo ago), licensed MIT. It adds 27 tokens to every session and 1,861 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 2026-08-30.
Other commands, from other repositories
anti-slop-designer
Use when a UI looks machine-made rather than decided. Violet gradients, glassmorphism everywhere, identical cards in a grid, untouched shadcn or Material defaults, emoji bullets, or copy stuffed with seamless and unlock.
design-grill
Use when a design keeps getting reinvented every session. Interviews you until you share one understanding, then writes the vocabulary and the binding decisions into the repo so they survive the next context window.
svg-create
Author or clean up an SVG asset — icon, illustration, mascot pose, logo mark — so it scales from viewBox, recolors from tokens, animates without a rewrite, is optimized, and has an accessible name.
agentation-fix
Session-2 fix loop for Agentation — read structured annotations from the dev overlay and apply targeted UI fixes.
ui-audit
Comprehensive UI audit for accessibility, consistency, and usability.
design-critic
Use when you want an honest read on a design instead of encouragement. What is wrong, ranked by severity, with the reason attached. Works on a screenshot, a mockup, or a described screen.