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/inclusive-design-skills --skill design-flowgit clone --depth 1 https://github.com/Owl-Listener/inclusive-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/owl-listener/inclusive-design-skills/design-flow)<a href="https://agentmods.dev/skills/owl-listener/inclusive-design-skills/design-flow"><img src="https://agentmods.dev/badge/skills/owl-listener/inclusive-design-skills/design-flow/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/owl-listener/inclusive-design-skills/design-flow"><img src="https://agentmods.dev/badge/skills/owl-listener/inclusive-design-skills/design-flow.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 | $0.00057 | $0.00435 |
| Opus 5 | $0.00028 | $0.00217 |
| Sonnet 5 | $0.00011 | $0.00087 |
| Haiku 4.5 | $0.00006 | $0.00044 |
Grade A, and why
design-flow 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 11d 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
Design Inclusive Interaction Flow
Design a new interaction flow that supports diverse input methods and provides accessible feedback from the start — not retrofitted after.
Process
Step 1: Identify All Interactions
List every point in the flow where the user must act:
- Click/tap a button
- Enter text
- Make a selection
- Navigate between steps
- Drag, swipe, or gesture
- Respond to a prompt
Step 2: Assign Input Methods
Using multi-modal-input, for each interaction specify how it works across at least three input methods:
- Keyboard: what keys or shortcuts activate it?
- Pointer/touch: what is the target size and spacing?
- Voice (where applicable): what command triggers it?
Flag any interaction that only works with one input method.
Step 3: Design the Keyboard Layer
Using keyboard-navigation, define:
- Tab order through all interactive elements
- Focus management for modals, dropdowns, and dynamic content
- Skip links and landmark navigation
- Keyboard shortcuts for frequent actions (document them)
Step 4: Specify Targets
Using touch-target-design, specify:
- Minimum sizes for all interactive elements
- Spacing between adjacent targets
- Thumb zone placement for mobile primary actions
Step 5: Design Feedback
Using feedback-and-status, for each interaction specify:
- What the user sees (visual feedback)
- What a screen reader announces (text alternative)
- What happens on success, error, and loading states
- How feedback works with colour, icon, and text combined
Output
Deliver an interaction specification that includes:
- Flow diagram with interaction points marked
- Input method matrix (task × input method)
- Focus order map
- Target size annotations
- Feedback specification per interaction
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.
- 11d ago First seen · 59 lines · 57 tokens per session scan A 47685797189f
design-flow is a skill published in the GitHub repository Owl-Listener/inclusive-design-skills (98 stars, last pushed 3mo ago), licensed MIT. It adds 57 tokens to every session and 435 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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