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 parhamb/design-skills --skill ux-help-onboardinggit clone --depth 1 https://github.com/parhamb/design-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/parhamb/design-skills/ux-help-onboarding)<a href="https://agentmods.dev/skills/parhamb/design-skills/ux-help-onboarding"><img src="https://agentmods.dev/badge/skills/parhamb/design-skills/ux-help-onboarding/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/parhamb/design-skills/ux-help-onboarding"><img src="https://agentmods.dev/badge/skills/parhamb/design-skills/ux-help-onboarding.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 | $0.00056 | $0.00849 |
| Opus 5 | $0.00028 | $0.00425 |
| Sonnet 5 | $0.00011 | $0.00170 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade A, and why
ux-help-onboarding 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 12d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Help and Onboarding UX
Onboarding sets the trajectory of a user's entire relationship with the app. A great first run converts. A confusing one churns. And once users are in, good help systems make them feel confident rather than lost.
Checklist
| Item | Guidance |
|---|---|
| 10-second comprehension | A first-time user understands the core value of the app within 10 seconds of first launch. |
| Loading indicator | Spinner or progress bar shown for anything taking longer than 400ms. |
| Skeleton screens | Used instead of spinners for content-heavy screens during loading. |
| Onboarding flow | Demonstrates value through experience, not a feature list. |
| Skip onboarding | A "Skip" option is visible on every onboarding step. |
| Contextual tooltip | Shown on first visit to a complex screen. One concept only. Easily dismissible. |
| In-app help center | Searchable help content within the app. Does not redirect to a website. |
Loading State Guidelines
| Duration | Recommended pattern |
|---|---|
| Under 400ms | No indicator needed — feels instant |
| 400ms to 3 seconds | Skeleton screen (content-shaped placeholder) |
| 3 to 10 seconds | Progress bar with an estimated time remaining |
| Over 10 seconds | Background task with a push notification on completion |
Skeleton screen design: Match the shape of the real content — rectangles for images, lines for text. Animate with a shimmer sweeping left to right. Use 2 to 3 generic rows rather than matching the exact final count of items.
Onboarding Patterns
Value-first: Show what the app does through demonstration before asking for anything. Delay sign-up until the user has experienced something meaningful. This consistently reduces early drop-off.
Progressive: Introduce features as users encounter them, not all at once. Use tooltips and coach marks at the right contextual moment rather than a long intro tutorial.
Blank slate: First-time empty screens actively invite the first action.
"Add your first task" beats an empty list with no direction. Full empty-state
standards live in ux-error-handling.
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.
- 12d ago First seen · 97 lines · 56 tokens per session scan A ed34dea60b96
ux-help-onboarding is a skill published in the GitHub repository parhamb/design-skills (23 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 849 once invoked, about $0.0003 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.
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