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 agentmods add skills/reggiechan74/cc-plugins/universal-design-for-learningnpx skills add reggiechan74/cc-plugins --skill universal-design-for-learninggit clone --depth 1 https://github.com/reggiechan74/cc-pluginsWrote 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/reggiechan74/cc-plugins/universal-design-for-learning)<a href="https://agentmods.dev/skills/reggiechan74/cc-plugins/universal-design-for-learning"><img src="https://agentmods.dev/badge/skills/reggiechan74/cc-plugins/universal-design-for-learning.svg" alt="Measured on agentmods" 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 | $0.00091 | $0.03887 |
| Opus 5 | $0.00046 | $0.01944 |
| Sonnet 5 | $0.00018 | $0.00777 |
| Haiku 4.5 | $0.00009 | $0.00389 |
Grade A, and why
universal-design-for-learning 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.
How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Universal Design for Learning (UDL) for Workshop Design
Overview
Universal Design for Learning (UDL) is a framework for designing learning experiences that are accessible and effective for ALL learners from the start, rather than retrofitting accommodations after the fact. Rooted in neuroscience research, UDL recognizes that learners vary systematically in how they perceive information, what motivates them to engage, and how they best express their understanding.
In workshop contexts, designing for the "average" learner is a myth that loses people at both ends of the spectrum. Participants who process quickly get bored; those who need more time fall behind. Participants who thrive in discussion disengage during solo reading; those who think best in writing shut down during rapid-fire group brainstorming. The insight of UDL is that designing for the margins improves the experience for everyone. Captioned videos help not only deaf participants but also non-native speakers and anyone in a noisy room. Structured handouts help not only participants with processing differences but also everyone trying to follow along in a dense afternoon session.
For 1-2 day intensive workshops, UDL is especially critical: there is no time for participants to "catch up later." If someone is excluded by a design choice on Day 1 morning, they may never recover. Proactive inclusive design is not optional generosity; it is a prerequisite for effective instruction.
The Three UDL Principles
Principle 1: Multiple Means of Representation (The "What" of Learning)
Learners differ in how they perceive and comprehend information. Presenting content in only one format guarantees that some participants will struggle unnecessarily.
| Instead of Only... | Also Include... | Why |
|---|---|---|
| Verbal lecture | Visual diagram or slide with key points | Auditory processing varies; visual anchors help retention for most learners |
| Text-heavy slides | Annotated diagrams, infographics, or concept maps | Dense text overwhelms working memory; visuals show relationships between ideas |
| Live demo only | Step-by-step written guide or screenshot walkthrough | Demos move at instructor pace; written guides allow self-paced review |
| Single example from one domain | Multiple examples across 2-3 different contexts | One example may not connect to all participants' backgrounds; variety builds transfer |
| English-only jargon and acronyms | Plain-language definitions and a glossary handout | Technical vocabulary is a barrier for non-native speakers and newcomers to the field |
| Audio-only instructions | Written instructions displayed on screen simultaneously | Reduces cognitive load from trying to remember spoken multi-step directions |
What ships with it
3 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.
- 5d ago First seen · 205 lines · 91 tokens per session scan A aabebcda71df
universal-design-for-learning is a skill published in the GitHub repository reggiechan74/cc-plugins (6 stars, last pushed 3mo ago), licensed MIT. It adds 91 tokens to every session and 3,887 once invoked, about $0.0005 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 2026-08-31.
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