Borrowing it
Nothing to install: this file belongs to drpwchen/textbook-to-note. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/drpwchen/textbook-to-note/main/AGENTS.mdgit clone --depth 1 https://github.com/drpwchen/textbook-to-noteWrote 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/instructions/drpwchen/textbook-to-note/agents-md)<a href="https://agentmods.dev/instructions/drpwchen/textbook-to-note/agents-md"><img src="https://agentmods.dev/badge/instructions/drpwchen/textbook-to-note/agents-md/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/instructions/drpwchen/textbook-to-note/agents-md"><img src="https://agentmods.dev/badge/instructions/drpwchen/textbook-to-note/agents-md.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 | $0.04177 | $0.04177 |
| Opus 5.5 | $0.01671 | $0.01671 |
| Sonnet 5.5 | $0.00835 | $0.00835 |
| Haiku 4.5 | $0.00418 | $0.00418 |
Grade A, and why
textbook-to-note AGENTS.md 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 1mo 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 — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Instructions for your AI coding agent
You are helping your user set up textbook-to-note: a local-first pipeline
that converts their own PDF/EPUB textbooks into searchable markdown, then
into structured, fully-cited notes in their personal knowledge vault
(Obsidian, Logseq, or a plain markdown folder). This repository is designed
to be deployed by you, an AI coding agent, working directly with the
user rather than requiring them to hand-run every script themselves.
Read this file fully before doing anything. Then work through the steps below in order, checking in with the user at the marked decision points.
What you're setting up
converter/ — PDF/EPUB → markdown conversion (0 LLM tokens)
figures/ — on-demand figure extraction with QC gating
skills/ — two Claude Code skill definitions (drop-in to ~/.claude/skills/)
workflows/ — the note-writing workflow specification
templates/ — real production note templates (zh-TW + English) for the topic-type
table in workflows/note-writing.md Step 1.1 (profiles B/C)
docs/ — architecture + OCR-ladder reference docs
examples/ — one example output note showing the target format
shared/ — shared config (paths, env var names)
requirements.txt
Read docs/architecture.md first for the full picture. Leave
docs/ocr-ladder.md alone until Step 4.5 tells you to open it — it is a
reference for a failure case most users never hit, not part of setup.
Step 1: Which profile is the user setting up?
Ask this before anything else, and do not start installing until you have an answer. The profiles stack — each is the one above it plus one more thing — and the wrong assumption here costs the user an install they never needed.
| Profile | The user wants | Steps you run |
|---|---|---|
| A · Converter only | Their books as clean, greppable markdown. grep is their whole search story. |
1.1 → 2 → 3 → 4 (→ 4.5 only if output is broken). Then stop. |
| B · A + note workflow | An AI writing structured, cited notes from that corpus, with figures. | A's steps, then 6 → 7 → 8. |
| C · B + semantic search | Cross-book retrieval by meaning, not keyword. | B's steps, plus 5. |
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.
- 1mo ago First seen · 342 lines · 4,177 tokens per session scan A db4e7cd18133
textbook-to-note AGENTS.md is an instructions file published in the GitHub repository drpwchen/textbook-to-note (107 stars, last pushed 1mo ago), licensed MIT. It adds 4,177 tokens to every session, about $0.0167 per session on Opus 5.5. 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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