manuscript-revision

manuscript-revision is a skill for Claude Code from mronkko/claude-academic-research. It costs 102 tokens per session (1,235 once invoked), scanned A, original, MIT.

A set of rules for improving existing academic writing, such as papers, theses, chapters, and dissertations. It uses several kinds of review and repeats revisions until major problems are resolved.

In plain words
What is it for?
Revising, polishing, critiquing, or finalizing an academic draft. It is intended for work that can be checked and revised through repeated review.
Why use it?
It helps avoid relying on one editing pass or one reviewer’s perspective. It separates the reasons for the approach from the separate process that carries it out.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the academic-research plugin — 11 skills, 1 plugin shipped together

Good fit Revising, polishing, critiquing, or finalizing an academic draft. It is intended for work that can be checked and revised through repeated review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mronkko/claude-academic-research/manuscript-revision
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.

Any agent
npx skills add mronkko/claude-academic-research --skill manuscript-revision
Clone the repo
git clone --depth 1 https://github.com/mronkko/claude-academic-research

Made for: Claude Code.

Or install academic-research, the plugin that ships this one along with the rest of its 11 skills, 1 plugin.

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 manuscript-revision

README.md
[![agentmods](https://agentmods.dev/badge/skills/mronkko/claude-academic-research/manuscript-revision/github.svg)](https://agentmods.dev/skills/mronkko/claude-academic-research/manuscript-revision)
Your own site
<a href="https://agentmods.dev/skills/mronkko/claude-academic-research/manuscript-revision"><img src="https://agentmods.dev/badge/skills/mronkko/claude-academic-research/manuscript-revision/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 manuscript-revision

Your own site · 80×15
<a href="https://agentmods.dev/skills/mronkko/claude-academic-research/manuscript-revision"><img src="https://agentmods.dev/badge/skills/mronkko/claude-academic-research/manuscript-revision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,235 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00102 $0.01235
Opus 5 $0.00051 $0.00617
Sonnet 5 $0.00020 $0.00247
Haiku 4.5 $0.00010 $0.00123

Measured 11d ago against content hash 3733d359945c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

manuscript-revision 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 11d 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/manuscript-revision/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Manuscript revision

No pre-flight, no bootstrap by design. This skill is doctrinewhy revision works the way it does. Execution lives in the critic-loop skill, which runs its own check_configured.py pre-flight. If the user invokes the critic loop in an unconfigured project, the loop will route them to setup. Don't replicate that check here.

Core rule

Academic prose is revised against multiple parallel critic perspectives, not polished in a single pass. After drafting (or after any substantial revision), run the critic loop via the critic-loop skill: tests must pass → render → parallel critic subagents → adjudicate → revise → repeat until no critic asks for a MAJOR revision. The loop has explicit termination rules; do not exit early and do not paper over unresolved MAJOR issues.

This skill is the doctrinewhy revision works this way and what the critics are for. The critic-loop skill is the procedure — how to actually run it, with CLI flags, Agent prompts, and file schemas. Read critic-loop for the executable details; everything below is the justification for that procedure's shape.

Before the loop: academic-style governs prose conventions (topic sentences, active voice, hedging, term definitions) at drafting time. Applying it before the first critic-loop run reduces how many MAJOR/MINOR style issues the argument critic raises — fewer iterations to convergence. This skill and critic-loop cover when and why to revise; academic-style covers how the prose should read throughout.

Why a loop, not a pass

A single critic produces a shallow pass. Four differently-framed critics catch non-overlapping classes of problem — each perspective covers one independent axis on which an academic paper can fail:

  • evidence — are the paper's factual claims honestly supported by the sources and data it invokes? Catches fabricated findings, direction reversals, misattributed citations, and prose numbers that don't match the pipeline output.
  • method — is the procedure defensible and transparently disclosed? Catches causal overreach, thin limitations, missing validity threats, and under-disclosed tools / prompts / models. Reviewer #2 energy.
  • argument — does the prose make a coherent case from research question to contribution? Catches scope drift, structural incoherence, one-paper-at-a-time narration in review papers, undefined terms, and framing that doesn't match the target venue.
  • expert — does the manuscript hold up against what a senior reviewer in the field already knows? Catches missing seminal works, dated framings, contradictions with well-established findings, and claimed "gaps" that aren't actually gaps.

Read the full file on GitHub · 100 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. 11d ago First seen · 100 lines · 102 tokens per session scan A 3733d359945c

Subscribe to this mod's changes

manuscript-revision is a skill published in the GitHub repository mronkko/claude-academic-research (23 stars, last pushed 7d ago), licensed MIT. It adds 102 tokens to every session and 1,235 once invoked, about $0.0005 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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