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 generategit 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/generate)<a href="https://agentmods.dev/skills/owl-listener/inclusive-design-skills/generate"><img src="https://agentmods.dev/badge/skills/owl-listener/inclusive-design-skills/generate/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/generate"><img src="https://agentmods.dev/badge/skills/owl-listener/inclusive-design-skills/generate.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 | $0.00059 | $0.00462 |
| Opus 5 | $0.00030 | $0.00231 |
| Sonnet 5 | $0.00012 | $0.00092 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
generate 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
Generate Inclusive Persona Set
Create a complete persona set that represents the full range of human diversity — including disability, situational impairment, age, language, and technical confidence.
Process
Step 1: Understand the Product Context
Before creating personas, establish:
- What does the product do?
- Who uses it today?
- What environments is it used in?
- What are the core tasks?
Step 2: Map the Ability Spectrum
Using ability-spectrum-mapping, identify which ability dimensions are most relevant to this product's core tasks (vision, hearing, motor, cognitive, speech).
Step 3: Map Situational Impairments
Using situational-impairment-mapping, identify the common situational impairments for this product's typical use contexts.
Step 4: Create the Persona Set
Using disability-inclusive-personas, create 4–6 personas that together cover:
- At least one permanent disability
- At least one temporary impairment
- At least two situational impairment contexts
- Range of age, language, and technical confidence
- Range of assistive technology use
Each persona includes: bio, goals, frustrations, context of use, devices and assistive technology, and a realistic scenario.
Step 5: Write AT Scenarios
Using assistive-technology-scenarios, write a detailed usage scenario for each persona that uses assistive technology, showing step-by-step interaction with the product.
Output
Deliver a persona set document containing:
- Overview — summary of the set's diversity coverage
- Individual personas — full profile for each
- AT scenarios — detailed usage scenarios for relevant personas
- Coverage matrix — table showing which ability dimensions, impairment types, and contexts are represented
- Gaps — any known gaps in the set with recommendations
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 · 56 lines · 59 tokens per session scan A 1c9295e346e5
generate is a skill published in the GitHub repository Owl-Listener/inclusive-design-skills (98 stars, last pushed 3mo ago), licensed MIT. It adds 59 tokens to every session and 462 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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