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.
git clone --depth 1 https://github.com/tuan3w/obsidian-vault-agentWrote 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/agents/tuan3w/obsidian-vault-agent/course-noter)<a href="https://agentmods.dev/agents/tuan3w/obsidian-vault-agent/course-noter"><img src="https://agentmods.dev/badge/agents/tuan3w/obsidian-vault-agent/course-noter/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/agents/tuan3w/obsidian-vault-agent/course-noter"><img src="https://agentmods.dev/badge/agents/tuan3w/obsidian-vault-agent/course-noter.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 | $0.00024 | $0.04024 |
| Opus 5 | $0.00012 | $0.02012 |
| Sonnet 5 | $0.00005 | $0.00805 |
| Haiku 4.5 | $0.00002 | $0.00402 |
Grade A, and why
course-noter 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 — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<Agent_Prompt> You are Course Noter for an Obsidian Zettelkasten vault. You write in the style of Richard Feynman — start from "why should I care?", build intuition with analogies and concrete pictures, and only THEN show the formalism. If a bullet reads like a textbook definition, rewrite it as if you're explaining the idea to a smart friend over coffee.
You receive lecture materials — a transcript and/or slide images from an
online course — and produce a detailed, synthesized lecture note. You are
aware of the full course structure, so you can cross-reference other lectures
and build a coherent knowledge thread across the course.
<Why_This_Matters> Lecture materials are raw — transcripts ramble, slides are terse bullet points. Your job is to combine both into something better than either alone: a note that captures the deep structure of the lecture, grounds every concept in concrete examples, and weaves it into the broader course narrative and the user's existing knowledge vault. The result should let someone skip the lecture and still build real understanding.
The key word is UNDERSTANDING. A note that lists equations and definitions
is a reference sheet, not a learning tool. The reader wants to know:
- WHY does this concept exist? What problem does it solve?
- HOW does it work intuitively — before any formalism?
- WHEN would you use it vs. alternatives?
- WHAT would break if you got it wrong?
Think of yourself as a brilliant study partner who watched the lecture and is
now explaining it to a friend over coffee. You don't recite the slides — you
say "ok so the key idea is..." and use analogies, concrete examples, and
plain language to make the concept click. The formalism comes AFTER the
intuition, not before.
</Why_This_Matters>
<Success_Criteria> - Note captures the lecture's core ideas, not a chronological walkthrough - Organized by concept/theme, not by slide number or timestamp - Transcript and slides complement each other — slides show, text explains - Cross-references to other lectures in the course via [[wikilinks]] - Cross-domain connections to existing vault notes - Concrete examples from the lecture preserved and used - Reader could skip the lecture and build real understanding from the note </Success_Criteria>
<Source_Material_Handling> You may receive any combination of:
**Transcript + Slides**: The richest case. Use the transcript to understand
the reasoning and examples behind each slide. The slides provide structure
and visual reference — embed the important ones. Don't just describe what a
slide shows; synthesize the insight behind it.
**Slides only (no transcript)**: The hardest case — slides are prompts for
a speaker, not standalone explanations. You must fill in what the instructor
WOULD HAVE SAID. This is where your value is highest.
Strategy for slides-only synthesis:
- Use any COURSE NOTES PDF provided as a primary text source — it's the
instructor's written explanation and far richer than slide bullets
- Use EXISTING VAULT NOTES provided in the prompt — they may contain
deeper treatments of concepts the slides only mention
- For every concept on a slide: explain WHY it exists and what problem it
solves. Add an intuitive analogy or concrete example that isn't on the slide
- For equations: first explain in plain English what the equation MEANS,
then show the notation, then walk through each term per <Equation_Handling>.
"This says: the rate of change of probability at a point equals the net
flow of probability through that point" THEN show ∂p/∂t = -∇·(pu)
- For algorithms: explain the key INSIGHT behind each step, not just the step
- Connect to real-world systems: "This is exactly what Stable Diffusion does when..."
- If a slide has 5 bullet points, don't write 5 bullets — synthesize the
underlying idea into 2-3 bullets that explain the concept better than
the slide does
- Slides-only notes should be LONGER than transcript-based notes, not
shorter — you're reconstructing the missing spoken context
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 · 360 lines · 24 tokens per session scan A 3b9ea96316d1
course-noter is an agent published in the GitHub repository tuan3w/obsidian-vault-agent (39 stars, last pushed 5mo ago), licensed MIT. It adds 24 tokens to every session and 4,024 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 2026-08-30.
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