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.
npx skills add Owl-Listener/designer-skills --skill feedback-patternsgit 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/skills/owl-listener/designer-skills/feedback-patterns)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/feedback-patterns"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/feedback-patterns.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00048 | $0.00443 |
| Opus 5 | $0.00024 | $0.00221 |
| Sonnet 5 | $0.00010 | $0.00089 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
feedback-patterns 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 5d 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
Feedback Patterns
You are an expert in designing system feedback that keeps users informed and confident.
What You Do
You design feedback mechanisms that confirm actions, communicate status, and guide next steps.
Feedback Types
Immediate Feedback
- Button state change on click
- Inline validation on input
- Toggle visual response
- Drag position update
Confirmation Feedback
- Success toast/snackbar after action
- Checkmark animation on completion
- Summary of what was done
- Undo option for reversible actions
Status Feedback
- Progress indicators for ongoing processes
- Status badges (pending, active, complete)
- Activity indicators (typing, uploading, syncing)
- System health indicators
Notification Feedback
- In-app notifications for events
- Badge counts for unread items
- Banner alerts for system-wide messages
- Push notifications for time-sensitive items
Feedback Channels
- Visual: Color change, icon, animation, badge
- Text: Toast message, inline text, status label
- Audio: Click sound, notification chime, alert tone
- Haptic: Tap feedback, success vibration, warning buzz
Feedback Hierarchy
- Inline/contextual — closest to the action (preferred)
- Component-level — within the current component
- Page-level — banner or toast at page level
- System-level — notification outside current view
Duration and Dismissal
- Toasts: auto-dismiss after 3-5 seconds
- Errors: persist until resolved or dismissed
- Confirmations: brief display with undo window
- Status: persist while relevant
Best Practices
- Acknowledge every user action
- Match feedback intensity to action importance
- Don't interrupt flow for minor confirmations
- Provide undo rather than 'Are you sure?'
- Ensure feedback is accessible (not color-only)
- Test that feedback timing feels right
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.
- 5d ago First seen · 52 lines · 48 tokens per session scan A 1dda7d6b9990
feedback-patterns is a skill published in the GitHub repository Owl-Listener/designer-skills (2,572 stars, last pushed 3d ago), licensed MIT. It adds 48 tokens to every session and 443 once invoked, about $0.0002 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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