Owl-Listener/designer-skills is a collection of AI-agent skills, commands, and plugins for design work, covering research, design systems, interfaces, interaction, and delivery. Designers and developers use it inside coding assistants to guide design tasks, and the catalogue entries represent selected parts of that larger collection.
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/Owl-Listener/designer-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/commands/owl-listener/designer-skills/platform-audit)<a href="https://agentmods.dev/commands/owl-listener/designer-skills/platform-audit"><img src="https://agentmods.dev/badge/commands/owl-listener/designer-skills/platform-audit/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/owl-listener/designer-skills/platform-audit"><img src="https://agentmods.dev/badge/commands/owl-listener/designer-skills/platform-audit.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 | $0.00022 | $0.00265 |
| Opus 5 | $0.00011 | $0.00133 |
| Sonnet 5 | $0.00004 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
platform-audit 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 6d 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.
What it actually says
/platform-audit
Audit a design for platform convention compliance across iOS and Android.
Steps
- Platform patterns — Identify which elements follow or depart from native conventions using
platform-conventionsskill. - Navigation — Review back navigation, tab structure, and gesture zones for each platform using
platform-conventionsskill. - Controls — Check that components match platform-native equivalents (toggles, pickers, dialogs) using
platform-conventionsskill. - Typography — Verify system font usage and dynamic type scale compliance for each platform using
platform-conventionsskill. - Responsive — Confirm layout adapts across screen sizes and orientations using
responsive-designskill. - Report — Document findings as platform-mandated patterns, intentional departures, and unintended conflicts.
Output
Platform audit report with compliance findings per platform, categorised by severity: convention violations, gesture conflicts, and recommended changes.
Consider following up with /design-screen to redesign non-compliant screens.
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.
- 6d ago First seen · 17 lines · 22 tokens per session scan A af88c12d5433
platform-audit is a command published in the GitHub repository Owl-Listener/designer-skills (2,593 stars, last pushed 4d ago), licensed MIT. It adds 22 tokens to every session and 265 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 2026-09-03.
Other commands, from other repositories
port_to_platform
Take an existing design or implementation to another platform (iOS ↔ Android ↔ macOS ↔ web) — porting the intent and IA, not the components.
build_mobile_app_ui
Design & build iOS or Android app screens end-to-end on the correct platform baseline, with generated tokens, real component code and an audit gate.
hatch3r-design-system-create
Create a project design system from brand assets or an elicitation dialog — DTCG 2025.10 token emission, 3-tier taxonomy (primitive → semantic → component), OKLCH ramps, dual output design.md + design-tokens.json, gated on WCAG 2.2 AA contrast, 100% theme parity, and 0 dangling aliases.
mobile-specialist
Use when a design will be used on phones. Touch targets too small, controls outside thumb reach, bottom navigation, gestures, safe areas and notches, or behaviour with no connection.
redesign
Improve an existing UI (bolder, quieter, cleaner, higher-converting) using SaglitzDesign craft standards, with measured before→after.
critique_screenshot
Grounded, reproducible visual critique of an attached UI screenshot against the fixed 0–40 rubric — cites specific elements, no padding.