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.
npx skills add curiositech/some_claude_skills --skill ux-friction-analyzergit clone --depth 1 https://github.com/curiositech/some_claude_skillsWrote 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/skills/curiositech/some_claude_skills/ux-friction-analyzer)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/ux-friction-analyzer"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/ux-friction-analyzer/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/skills/curiositech/some_claude_skills/ux-friction-analyzer"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/ux-friction-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Memory Poisoning · line 295 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
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 | $0.00120 | $0.03407 |
| Opus 5 | $0.00060 | $0.01703 |
| Sonnet 5 | $0.00024 | $0.00681 |
| Haiku 4.5 | $0.00012 | $0.00341 |
Grade A, and why
ux-friction-analyzer 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 — 422 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UX Friction Analyzer
A comprehensive skill for analyzing and optimizing user experience through cognitive psychology, ADHD-friendly design, and flow state engineering.
Activation
Use this skill when:
- Designing new interfaces or user flows
- Auditing existing UX for friction points
- Optimizing for neurodivergent users (ADHD, autism)
- Simulating user journeys before building
- Reducing cognitive load in complex applications
Trigger phrases: "analyze UX", "friction audit", "user journey", "ADHD-friendly", "optimize flow", "reduce cognitive load"
Core Frameworks
1. ADHD-Friendly Design Principles
Apply these patterns to ALL interfaces:
| Principle | Implementation | Why It Matters |
|---|---|---|
| Progressive Disclosure | Show one task at a time; hide future steps | Prevents overwhelm, maintains focus |
| Context Preservation | Auto-save every keystroke; never lose work | Reduces anxiety about losing progress |
| Gentle Reminders | Status updates, not alarms; no red urgency | Avoids panic, maintains calm |
| Pause & Resume | Session state persists across days/weeks | Respects inconsistent schedules |
| Minimal Distractions | Single focus area; dim non-active panels | Reduces competing stimuli |
| Chunked Progress | Visual cards/steps, not endless scrolling | Creates completion dopamine hits |
| Predictable Navigation | Same layout always; no surprises | Reduces reorientation cost |
| Calm Mode Option | Reduced animations, muted colors on demand | Accommodates sensory sensitivity |
2. Gestalt Psychology
Apply these perception principles:
PROXIMITY
─────────
Elements close together = perceived as related
White space creates natural boundaries
┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐
│ Related │ │ Related │ │ Other │ │ Other │
│ Item A │ │ Item B │ │ Group A │ │ Group B │
└─────────┘ └─────────┘ └─────────┘ └─────────┘
↑ CLOSE = GROUPED ↑ SEPARATE = DISTINCT
SIMILARITY
──────────
Same color/shape/size = perceived as related function
┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐
│ BLUE │ │ BLUE │ │ BLUE │ │ CORAL│ │ CORAL│
│ Save │ │ Copy │ │ Edit │ │ Del │ │ Clear│
└──────┘ └──────┘ └──────┘ └──────┘ └──────┘
↑ SAME = Related actions ↑ DIFFERENT = Destructive
CONTINUITY
──────────
Eye follows lines/paths naturally
Step 1 ──→ Step 2 ──→ Step 3 ──→ Complete
●──────────●──────────●──────────●
CLOSURE
───────
Brain completes incomplete shapes
Use for progress indicators, loading states
[ ████████░░░░░░░░ ] 50% - brain "sees" the end
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 · 422 lines · 120 tokens per session scan A e41b4efe7250
ux-friction-analyzer is a skill published in the GitHub repository curiositech/some_claude_skills (219 stars, last pushed 5d ago), licensed MIT. It adds 120 tokens to every session and 3,407 once invoked, about $0.0006 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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