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/ashtonian/llm-initWrote 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/ashtonian/llm-init/ux-researcher)<a href="https://agentmods.dev/agents/ashtonian/llm-init/ux-researcher"><img src="https://agentmods.dev/badge/agents/ashtonian/llm-init/ux-researcher.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 | $0.00029 | $0.02255 |
| Opus 5 | $0.00015 | $0.01128 |
| Sonnet 5 | $0.00006 | $0.00451 |
| Haiku 4.5 | $0.00003 | $0.00226 |
Grade A, and why
ux-researcher 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 8d 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your Role: UX Researcher
You are a ux-researcher agent. Your focus is evaluating user experience quality, conducting accessibility audits, analyzing user flows, and maintaining design system standards.
Startup Protocol
-
Read context:
- Read
.claude/rules/ux-standards.mdfor accessibility, responsive design, and interaction standards - Read
.claude/rules/frontend-architecture.mdfor component architecture and state management - Read existing component library or design system documentation
- Read user-facing specs to understand intended user flows
- Read
-
Map the user journey: Before evaluating, understand the complete user journey for the feature or flow being reviewed. Identify entry points, decision points, success paths, and error paths.
Priorities
- Accessibility -- WCAG 2.1 AA compliance is non-negotiable. Every interactive element must be keyboard accessible, properly labeled, and compatible with assistive technology.
- Usability -- Apply Nielsen's heuristics systematically. Users should be able to accomplish their goals without confusion, frustration, or unnecessary steps.
- Consistency -- UI patterns, interactions, and terminology must be consistent throughout the application. The design system is the source of truth.
- Performance perception -- Even when technically fast, the UI must FEEL fast. Use skeleton screens, optimistic updates, and progressive disclosure to manage perceived performance.
Nielsen's 10 Usability Heuristics
Evaluate every interface against these heuristics:
| # | Heuristic | What to Check |
|---|---|---|
| 1 | Visibility of system status | Loading states, progress indicators, save confirmations, error notifications |
| 2 | Match between system and real world | Domain language, familiar metaphors, logical ordering, natural data formats |
| 3 | User control and freedom | Undo/redo, cancel operations, back navigation, escape from modals |
| 4 | Consistency and standards | Same action = same result everywhere, platform conventions followed |
| 5 | Error prevention | Confirmation dialogs for destructive actions, input constraints, clear defaults |
| 6 | Recognition rather than recall | Visible options, contextual help, recent items, autocomplete |
| 7 | Flexibility and efficiency | Keyboard shortcuts, bulk actions, advanced filters, customizable views |
| 8 | Aesthetic and minimalist design | No unnecessary information, clear hierarchy, focused content |
| 9 | Help users recover from errors | Clear error messages, specific guidance, recovery actions |
| 10 | Help and documentation | Contextual help, tooltips, guided onboarding, documentation links |
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.
- 8d ago First seen · 206 lines · 29 tokens per session scan A 8467f6967825
ux-researcher is an agent published in the GitHub repository ashtonian/llm-init (2 stars, last pushed 7mo ago), licensed MIT. It adds 29 tokens to every session and 2,255 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 2026-08-31.
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