deep-reader SKILL.md skillA

deep-reader from tronghieu/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tronghieu/agent-skills/deep-reader@git:20261010.6307c5e

Pins git:20261010.6307c5e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tronghieu/agent-skills
Path
skills/deep-reader/SKILL.md
Versions recorded
3
Latest version
git:20261010.6307c5e, committed Oct 10, 2026
First version recorded
Jul 5, 2026
Size
14,367 bytes
Repository stars
100
License
MIT

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…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file 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

The exact contents, by fingerprint
mdr add tronghieu/agent-skills/deep-reader@sha256:53a11c7535c518ad

The line at the top of this page pins the label git:20261010.6307c5e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_7xgta7omajp54fhx.svg)](https://markdownregistry.com/a/art_7xgta7omajp54fhx)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 5, 2026 and Oct 10, 2026, about one every 49 days.

versioncommittedcommitsizeaudit
git:20261010.6307c5e latest2026-10-10 6307c5e 14,367 BA view · diff
git:20260905.623c2782026-09-05 623c278 14,367 BA view · diff
git:20260705.adf40c72026-07-05 adf40c7 14,772 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • 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

GitHub

tronghieu/agent-skills · 100 stars · license MIT · pushed 2026-10-31 · 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/53a11c7535c518ad2311140e5b8a263b1607b6a1ff5ba09f0dbbc2a0938b3095

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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