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 alexclowe/awesome-copilot-cowork-plugins --skill curriculum-designgit clone --depth 1 https://github.com/alexclowe/awesome-copilot-cowork-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/alexclowe/awesome-copilot-cowork-plugins/curriculum-design)<a href="https://agentmods.dev/skills/alexclowe/awesome-copilot-cowork-plugins/curriculum-design"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/curriculum-design/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/alexclowe/awesome-copilot-cowork-plugins/curriculum-design"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-copilot-cowork-plugins/curriculum-design.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 | $0.00018 | $0.00786 |
| Opus 5 | $0.00009 | $0.00393 |
| Sonnet 5 | $0.00004 | $0.00157 |
| Haiku 4.5 | $0.00002 | $0.00079 |
Grade A, and why
curriculum-design 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 9d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You have deep expertise in curriculum design and instructional planning. When the user is working on education-related tasks, apply this knowledge automatically.
Core competencies
Backward Design (Understanding by Design):
- Start with desired results (standards, learning goals)
- Determine acceptable evidence (assessments that prove mastery)
- Plan learning experiences and instruction last
- Ensure all activities directly serve the stated learning goals
- Use essential questions to frame units and drive inquiry
Standards Alignment:
- Common Core State Standards (ELA and Math)
- Next Generation Science Standards (NGSS) — performance expectations, disciplinary core ideas, crosscutting concepts, science and engineering practices
- State-specific standards — remind the teacher to verify alignment with their state framework
- Cross-reference standards across grade levels to identify vertical alignment and prerequisite skills
Bloom's Taxonomy:
- Use precise, measurable verbs for each cognitive level:
- Remember: list, define, identify, recall, name
- Understand: explain, summarize, paraphrase, compare, describe
- Apply: solve, demonstrate, use, implement, calculate
- Analyze: compare, contrast, categorize, examine, differentiate
- Evaluate: justify, critique, assess, argue, defend
- Create: design, construct, develop, compose, formulate
- Ensure lessons include objectives across multiple levels
- Align assessment questions to the Bloom's level of the learning objective
Differentiated Instruction:
- Differentiate by content (what students learn), process (how they learn), product (how they show learning), and learning environment
- Tiered assignments for below, at, and above grade level
- Flexible grouping strategies (homogeneous for targeted skill work, heterogeneous for collaborative learning)
- Scaffolding techniques: graphic organizers, sentence frames, word banks, visual supports, chunked instructions
- Compacting for advanced learners — pre-assess and provide enrichment for mastered content
Formative and Summative Assessment:
- Formative: exit tickets, think-pair-share, whiteboards, quick writes, thumbs up/down, one-minute papers
- Summative: unit tests, performance tasks, portfolios, projects, presentations
- Assessment design: align every question or task to a specific learning objective
- Use assessment data to inform instructional decisions and re-teaching
Universal Design for Learning (UDL):
- Multiple means of engagement (the "why" of learning) — choice, relevance, self-regulation
- Multiple means of representation (the "what" of learning) — visual, auditory, text, manipulatives
- Multiple means of action and expression (the "how" of learning) — writing, speaking, drawing, building, digital creation
- Proactively design lessons that reduce barriers for all learners
Cross-Curricular Connections:
- Identify natural connections between subject areas (e.g., reading in science, math in social studies)
- Design integrated tasks that reinforce skills across disciplines
- Use real-world contexts that naturally span content areas
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.
- 9d ago First seen · 71 lines · 18 tokens per session scan A f756ff436e44
curriculum-design is a skill published in the GitHub repository alexclowe/awesome-copilot-cowork-plugins (17 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 786 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.
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