manuscript-review SKILL.md skillA

manuscript-review from mathews-tom/armory is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add mathews-tom/armory/manuscript-review@v1.3.2

Pins v1.3.2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
mathews-tom/armory
Path
skills/manuscript-review/SKILL.md
Versions recorded
5
Latest version
v1.3.2, committed Oct 11, 2026
First version recorded
Apr 9, 2026
Size
21,463 bytes
Repository stars
334
License
MIT

Pre-publication manuscript audit producing a section-level refactoring report with citation hygiene and submission-readiness checks. Triggers on: "review my paper", "check before submission", "is this ready to submit", "pre-pub checklist", "refactor my paper", "check my references", "does the abstract work".

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

# Manuscript Review Skill

**Pipeline position:** Phase 1a (content audit). Runs in parallel with `figure-rhetoric`. No prior dependencies. Outputs consumed by `manuscript-provenance` (macro manifest feedback) and `figure-rhetoric` (claims map for visual argument assessment). See companion skills for full pre-publication coverage: `manuscript-typography` (typographic conventions), `citation-audit` (citation truth), `arxiv-preflight` (submission compliance).

## Purpose

Execute a comprehensive, multi-pass diagnostic audit of an academic or
technical manuscript, producing a structured improvement report that identifies
issues across 24 audit dimensions — from macro-coherence and argumentative
architecture through claims-evidence calibration, narrative flow, prose
microstructure, rendered visual inspection, and cross-element coherence,
down to citation hygiene and reproducibility.

The output is a prioritized, actionable improvement plan — not a line edit.
The goal is to surface structural, logical, and clarity issues that
authors systematically miss because they're too close to the text.

Optimized for arXiv/preprint submissions with flexible compliance standards.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add mathews-tom/armory/manuscript-review@sha256:72bde3a44edb4b12

The line at the top of this page pins the label v1.3.2, 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_xcqftydhkibd3yqb.svg)](https://markdownregistry.com/a/art_xcqftydhkibd3yqb)

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

Versions

The registry has recorded 5 versions of this file, between Apr 9, 2026 and Oct 11, 2026, about one every 46 days. Its first recorded version is graded B and its latest A.

versioncommittedcommitsizeaudit
v1.3.2 latest2026-10-11 b55cc29 21,463 BA view · diff
v1.3.12026-09-12 2226ea9 21,463 BA view · diff
v1.3.02026-05-03 bccb51c 21,476 BA view · diff
v1.2.22026-04-11 0aa221a 20,859 BA view · diff
v1.2.22026-04-09 1cc63e5 21,405 BB 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 (21463 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

mathews-tom/armory · 334 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xcqftydhkibd3yqb
GET https://markdownregistry.com/api/v1/resolve?ref=mathews-tom/armory/manuscript-review
GET https://markdownregistry.com/api/v1/blob/72bde3a44edb4b1243584c28449a2437bf7a041cb94a3b2451915c7a01c2380c

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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