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 Jellypod-Inc/school-skills --skill lecture-to-study-guidegit clone --depth 1 https://github.com/Jellypod-Inc/school-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/jellypod-inc/school-skills/lecture-to-study-guide)<a href="https://agentmods.dev/skills/jellypod-inc/school-skills/lecture-to-study-guide"><img src="https://agentmods.dev/badge/skills/jellypod-inc/school-skills/lecture-to-study-guide/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/jellypod-inc/school-skills/lecture-to-study-guide"><img src="https://agentmods.dev/badge/skills/jellypod-inc/school-skills/lecture-to-study-guide.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 | $0.00263 | $0.03182 |
| Opus 5 | $0.00131 | $0.01591 |
| Sonnet 5 | $0.00053 | $0.00636 |
| Haiku 4.5 | $0.00026 | $0.00318 |
Grade A, and why
lecture-to-study-guide 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
lecture-to-study-guide
Produce a pedagogically structured study guide from lecture material — not a summary, a study-optimized document.
When to use this skill
Trigger on any phrase pairing lecture material + a study/review/exam goal. Concrete cues:
Student voice (lead — higher frequency):
- "turn my notes into a study guide"
- "summarize this lecture for the test"
- "make a study guide from these slides"
- "I have a transcript from class, help me review"
- "convert this PDF of my [subject] lecture into a study guide"
- "here's a YouTube lecture transcript, extract the key points"
- "make me practice questions from this chapter"
- "I need a cheat sheet for tomorrow's exam from these notes"
- "help me review — I'll paste my lecture notes"
Teacher voice:
- "make a study guide for my students from this lecture"
- "build a review handout from my slide deck"
- "give my class a review sheet from these notes"
Inputs
Required:
- Source material — pasted text, PDF, or transcript. May be messy.
Optional (infer if absent — see table below):
- Subject + level — for calibration (6-8 / 9-12 / college / graduate).
- Source type — pasted prose notes / slide deck / transcript / multi-lecture / mixed.
- Exam format — MCQ / essay / problem-set — biases question mix.
- Target length — default: proportional to input.
Inferring level and source-type from phrasing (before asking)
Attempt inference first. Ask ONLY if both level AND source-type are unclear.
| Cue in user's phrasing | Likely level |
|---|---|
| "my 7th grader," "middle school," emoji, simple vocab | 6-8 |
| "AP ___," "honors," "SAT prep," "high school" | 9-12 |
| "my professor," "syllabus," "midterm," "lecture hall," "TA," intro-course names ("intro micro," "bio 101") | college (default) |
| "my PI," "qualifying exam," "seminar," "dissertation," advanced domain vocabulary | graduate |
| No markers, just raw notes | infer from vocabulary density; default college |
| Cue in user's phrasing | Likely source-type |
|---|---|
| "my notes," "typed up," "outline" | pasted prose notes |
| ".pdf," "slides," "deck," "slideshow," "lecture slides" | slide-deck PDF |
| "transcript," "YouTube," "recording," "VTT," "SRT," "captions," "Otter," "Zoom transcript" | transcript |
| Multiple files listed, "weeks 1-3," "chapters 4-6," "my last three lectures" | multi-lecture series |
| Both a slide deck AND a transcript mentioned | mixed slide + transcript |
What ships with it
6 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.
- 11d ago First seen · 211 lines · 0 tokens per session scan A 9314b01f3578
lecture-to-study-guide is a skill published in the GitHub repository Jellypod-Inc/school-skills (6 stars, last pushed 4mo ago), licensed MIT. It adds 263 tokens to every session and 3,182 once invoked, about $0.0013 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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