deep-reader skillA
deep-reader is agent-read markdown (skill) from tronghieu/agent-skills: Read, study, and answer questions about long books and papers without loading the whole text into one context window, keeping page-anchored notes as a reusable workspace. Use whenever the user asks to read, study, summarize, analyze, review, or answer questions about a long book, textbook, PDF, EPUB, thesis, dissertation, survey paper, or any document of roughly 50+ pages, in any language (Vietnamese "đọc sách", "tóm tắt sách", "phân tích luận án"). Also use when a `<slug>-notes/` workspace from.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Deep Reader
Read long books and papers the way a careful human researcher does: skim for
structure first, read deeply chapter by chapter with notes as you go, then
synthesize from the notes — never the raw text — at the end. The method comes
from Adler's *How to Read a Book*, SQ3R's Recite step, and Keshav's three-pass
method for papers.
## Why multi-pass, why notes
An LLM's attention dilutes over long contexts, and it loses track of material
buried in the middle of a big prompt ("lost in the middle"). Loading a
500-page book into one context and asking questions about it produces answers
that quietly forget chapter 3 by the time you're discussing chapter 12.
The fix is the same one human researchers use: never hold the whole book in
working memory at once. Read it in passes — first for structure, then chapter
by chapter for content — and externalize what you learn into note files as you
go. The notes become the durable memory; the book itself only needs to be
back in view when you're actively reading a specific chapter or verifying a
specific claim. Page numbers are the coordinate system that makes every claim
traceable back to the source, in this session or a later one.
…Read the whole file at its exact version.
How to install
mdr add tronghieu/agent-skills/deep-reader@git:20260905.623c278mdr add tronghieu/agent-skills/deep-reader@sha256:ab2b51098aaa4a69Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_7xgta7omajp54fhx)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260905.623c278 latest | 2026-09-05 | 623c278 | 14,367 B | A | view · diff |
| git:20260705.adf40c7 | 2026-07-05 | adf40c7 | 14,772 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14367 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tronghieu/agent-skills · 72 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7xgta7omajp54fhx GET https://markdownregistry.com/api/v1/resolve?ref=tronghieu/agent-skills/deep-reader GET https://markdownregistry.com/api/v1/blob/ab2b51098aaa4a6941cc79d7b1ce53f6891ee6e5c3253a3926864c3022623595
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.