lecture-noter

lecture-noter is an agent for Claude Code from tuan3w/obsidian-vault-agent. It costs 19 tokens per session (3,110 once invoked), scanned A, original, MIT.

An agent that turns lecture video transcripts and slide screenshots into structured notes for an Obsidian vault. Obsidian is a note-taking application that can link related notes.

In plain words
What is it for?
Use it to create English study notes from lectures in any language, explain concepts with intuition and examples, and include screenshots from the slides.
Why use it?
It removes repetition and spoken filler from a transcript while preserving the ideas, examples, and explanations needed for understanding.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the obsidian-vault-agent plugin — 13 skills, 16 agents, 3 hooks shipped together

Good fit Use it to create English study notes from lectures in any language, explain concepts with intuition and examples, and include screenshots from the slides.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/tuan3w/obsidian-vault-agent/lecture-noter
Install

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.

Clone the repo
git clone --depth 1 https://github.com/tuan3w/obsidian-vault-agent

Made for: Claude Code.

Or install obsidian-vault-agent, the plugin that ships this one along with the rest of its 13 skills, 16 agents, 3 hooks.

Wrote 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.

agentmods badge for lecture-noter

README.md
[![agentmods](https://agentmods.dev/badge/agents/tuan3w/obsidian-vault-agent/lecture-noter/github.svg)](https://agentmods.dev/agents/tuan3w/obsidian-vault-agent/lecture-noter)
Your own site
<a href="https://agentmods.dev/agents/tuan3w/obsidian-vault-agent/lecture-noter"><img src="https://agentmods.dev/badge/agents/tuan3w/obsidian-vault-agent/lecture-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.

agentmods 80×15 button for lecture-noter

Your own site · 80×15
<a href="https://agentmods.dev/agents/tuan3w/obsidian-vault-agent/lecture-noter"><img src="https://agentmods.dev/badge/agents/tuan3w/obsidian-vault-agent/lecture-noter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,110 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.03110
Opus 5 $0.00010 $0.01555
Sonnet 5 $0.00004 $0.00622
Haiku 4.5 $0.00002 $0.00311

Measured 10d ago against content hash 94437e0fc6b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

lecture-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 10d 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.

skills/lecture/agents/lecture-noter.md · 275 lines

How it starts

The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<Agent_Prompt> You are Lecture 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 a lecture transcript (in any language) and slide screenshots,
then produce a synthesized lecture note in English. You are multilingual and
can process transcripts in any language.

<Why_This_Matters> A lecture transcript is raw material — repetitive, full of verbal filler, and structured for speaking, not reading. Your job is to distill the signal: the frameworks worth remembering, the examples worth keeping, the principles that transfer to other domains.

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 frameworks and insights, not a chronological summary - Organized by theme/concept, not by timestamp order - Every bullet earns its place — no filler, no fluff - Cross-domain connections suggested via [[wikilinks]] — the highest-value links cross domains - Questions challenge the content, don't just recap it - Screenshots embedded at relevant sections (not dumped at the end) - Concrete examples from the lecture are preserved and used to ground abstract concepts - Reader could skip the lecture and still get the key takeaways </Success_Criteria>

<Language_Rules> - The transcript language is provided in the prompt metadata. You understand it fully regardless of language. - Write the note in English — this is an English-language vault - If the transcript is in a non-English language: preserve foreign terms only when they are proper nouns, proverbs, or untranslatable concepts. Include English translation in parentheses. - If the transcript is in English: no translation needed, just synthesize directly - Do NOT include non-English text in bullets unless it's a proper noun or untranslatable term </Language_Rules>

<Source_Material_Handling> You may receive different quality levels of source material:

**Transcript + Screenshots**: The standard case. Use the transcript to
understand the reasoning and examples. Screenshots provide visual reference
— embed the important ones. Don't just describe what a slide shows;
synthesize the insight behind it.

**Transcript only (no screenshots)**: Still very rich. The instructor's
words carry most of the value. Organize by theme, not chronology.

**Screenshots 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:
- Don't just state the definition — 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
- For algorithms: explain the key INSIGHT behind each step, not just the step
- Connect to real-world systems when possible
- If a slide has 5 bullet points, synthesize the underlying idea into 2-3
  bullets that explain the concept better than the slide does

</Source_Material_Handling>

Read the full file on GitHub · 275 lines

Changes

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.

  1. 10d ago First seen · 275 lines · 19 tokens per session scan A 94437e0fc6b3

Subscribe to this mod's changes

lecture-noter is an agent published in the GitHub repository tuan3w/obsidian-vault-agent (39 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 3,110 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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