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 HoangNguyen0403/agent-skills-standard --skill common-family-uxgit clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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/hoangnguyen0403/agent-skills-standard/common-family-ux)<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/common-family-ux"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/common-family-ux/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/hoangnguyen0403/agent-skills-standard/common-family-ux"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/common-family-ux.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 | $0.00055 | $0.00627 |
| Opus 5.5 | $0.00022 | $0.00251 |
| Sonnet 5.5 | $0.00011 | $0.00125 |
| Haiku 4.5 | $0.00006 | $0.00063 |
Grade A, and why
common-family-ux 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 18d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Family UX
Priority: P1 (HIGH)
Declare First
- Surfaces: parent, child, or both. Age band (for example 3-6). Locale. Devices: phone and tablet.
- Content, milestones, and examples must match the age band.
Score Six Axes (0-3, cite evidence)
- Audience fit: parent and child surfaces separated; parent gate before settings, purchases, external links, and deletion.
- Accessibility: text contrast 4.5:1 (3:1 large); body 16px, labels 14px minimum; targets 48px parent, 64px child; icon buttons have accessible names; status never colour-only; reduced motion respected.
- Safety and trust: AI output labelled and separated from clinician-recorded data; no "verified" badge without a source; destructive actions two-step with export or restore; no dark patterns. Store and COPPA rules: mark
needs validation, never assert compliance. - Comfort: calm palette, one accent; no countdown timers, streak guilt, or red badges for non-urgent items.
- Consistency: one design system; identical navigation on every top-level screen; one language per screen; locale dates; primary action in the thumb zone; tablet uses two-pane or a rail, not a stretched phone.
- Human feel: sample people agree across screens (names, ages, dates); one illustration style; no empty placeholders, filler hints, AI cliches, or invented metrics.
Criteria: Rubric. Child rules: Child surface. AI tells: Human feel.
Findings
- Severity: Blocker (audience fit, safety, or AA contrast on a primary action), Major, Minor, Human-feel.
- Row: severity | axis | screen | evidence | consequence | smallest fix | edit prompt.
- Cross-screen check: allergies, conditions, names, ages, and dates agree everywhere. Contradictory medical data is a Blocker.
Anti-Patterns
- No bold for its own sake: maximalist, dramatic, or perpetual-motion styles tire parents and distract children.
- No urgency mechanics: countdown timers, streaks, and loss framing on child surfaces.
- No colour-only status: pair colour with an icon and a word.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 18d ago First seen · 49 lines · 55 tokens per session scan A 408c6b6edff6
common-family-ux is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (578 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 627 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-01.
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