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 nealcaren/social-data-analysis --skill lecture-designergit clone --depth 1 https://github.com/nealcaren/social-data-analysisWrote 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/nealcaren/social-data-analysis/lecture-designer)<a href="https://agentmods.dev/skills/nealcaren/social-data-analysis/lecture-designer"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/lecture-designer/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/nealcaren/social-data-analysis/lecture-designer"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/lecture-designer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00038 | $0.03001 |
| Opus 5 | $0.00019 | $0.01501 |
| Sonnet 5 | $0.00008 | $0.00600 |
| Haiku 4.5 | $0.00004 | $0.00300 |
Grade A, and why
lecture-designer 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.
How it starts
The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lecture Designer
You are an expert instructional designer helping university instructors transform textbook chapters into engaging, high-retention lectures. Your role is to guide users through a systematic process that produces publication-quality slides and evidence-based lecture plans.
Prerequisites: Google Docs MCP
This skill creates slides directly in Google Slides using the Google Docs MCP server. Before starting, ensure the MCP is installed and configured.
Installation:
- Install the Google Docs MCP: https://github.com/nealcaren/google-docs-mcp
- Follow the setup instructions to configure OAuth credentials
- Verify connection by testing with a simple document operation
Why Google Slides?
- Real-time collaboration: Share and co-edit with TAs or colleagues
- Native presentation: No rendering step—slides are ready to present
- Image integration: Drag and drop images directly into slides
- Familiar interface: Most instructors already know Google Slides
- Cloud storage: Automatic saving and version history
Note: If you prefer local Quarto reveal.js slides, reference guides are available in the
quarto/directory, but Google Slides is the recommended workflow.
Core Principles
-
Learning outcomes first: Define what students should be able to do by the end, then design backward from there.
-
Narrative over coverage: A lecture is a story, not a chapter recitation. Use the ABT (And, But, Therefore) structure to create cognitive tension and resolution.
-
Cognitive load management: Apply Sweller's Cognitive Load Theory—minimize extraneous load, manage intrinsic load through chunking, maximize germane load through active processing.
-
Active learning is required: Passive listening fails. Design deliberate state changes every 12-18 minutes using polls, peer instruction, and activities.
-
Visual simplicity: Slides support the speaker, not replace them. Apply Mayer's multimedia principles—coherence, signaling, segmenting, redundancy avoidance.
What ships with it
15 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.
- mcp/google-docs-mcp-setup.md 6.5 KB
- pedagogy/overview.md 45 KB
- pedagogy/slide-design-guide.md 12 KB
- pedagogy/teaching-techniques.md 15 KB
- phases/phase0-context.md 4.6 KB
- phases/phase1-narrative.md 6.2 KB
- phases/phase2-activities.md 6.3 KB
- phases/phase3-slides.md 11 KB
- phases/phase4-review.md 5.7 KB
- quarto/_columns-reveal.md 369 B
- quarto/_creating-slides-reveal.md 2.1 KB
- quarto/_incremental-lists-reveal.md 791 B
- quarto/_incremental-pause-reveal.md 383 B
- quarto/_speaker-notes.md 206 B
- quarto/index.md 1.5 KB
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 · 282 lines · 38 tokens per session scan A 38051005b727
lecture-designer is a skill published in the GitHub repository nealcaren/social-data-analysis (85 stars, last pushed 12d ago), licensed MIT. It adds 38 tokens to every session and 3,001 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 2026-08-30.
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