polish-prose

polish-prose is a skill for Claude Code from ShaishavMaisuria/research-paper-lifecycle-skills. It costs 211 tokens per session (2,649 once invoked), scanned A, original, Apache-2.0.

A writing aid for revising academic papers so they sound natural and concise while keeping technical claims, numbers, and citations unchanged.

In plain words
What is it for?
It helps researchers polish drafts, make contribution statements clearer, check terminology and acronyms, and prepare papers for submission.
Why use it?
It removes common AI-like wording, repeated transitions, excessive hedging, and unnecessary length without altering the research content.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the paper-writing plugin — 7 skills shipped together

Good fit It helps researchers polish drafts, make contribution statements clearer, check terminology and acronyms, and prepare papers for submission.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shaishavmaisuria/research-paper-lifecycle-skills/polish-prose
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 ShaishavMaisuria/research-paper-lifecycle-skills --skill polish-prose
Clone the repo
git clone --depth 1 https://github.com/ShaishavMaisuria/research-paper-lifecycle-skills

Made for: Claude Code.

Or install paper-writing, the plugin that ships this one along with the rest of its 7 skills.

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 polish-prose

README.md
[![agentmods](https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/polish-prose/github.svg)](https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/polish-prose)
Your own site
<a href="https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/polish-prose"><img src="https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/polish-prose/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 polish-prose

Your own site · 80×15
<a href="https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/polish-prose"><img src="https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/polish-prose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 211 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,649 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.
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 $0.00211 $0.02649
Opus 5 $0.00105 $0.01324
Sonnet 5 $0.00042 $0.00530
Haiku 4.5 $0.00021 $0.00265

Measured 12d ago against content hash ca156a4f3f27, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

polish-prose 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 12d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/prose_lint.py, scripts/terminology_check.py, scripts/texprose.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/polish-prose/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Polish Prose

Turn an AI-flavored or overwrought draft into prose that reads like a careful researcher wrote it — without moving a single number, claim, or citation. Reviewers now pattern-match the LLM register (delve/leverage vocabulary, Moreover-stacked paragraphs, em-dash chains, uniform hedging), and a leftover "Certainly! Here is..." or "[insert citation]" is a desk-reject-grade embarrassment. This skill finds all of it deterministically, then guides a disciplined human-in-the-loop rewrite: expression changes, content does not.

When to use

  • "My paper sounds like ChatGPT wrote it" / "humanize this" / "de-AI-ify"
  • "Remove the AI words" / "it keeps saying delve and leverage"
  • "Tighten / polish my writing" / "this is too wordy"
  • "Fix my hedging" — overclaimed contributions or drowned-in-maybes results
  • "Make my contribution statements active" ("a method is proposed..." → "We propose...")
  • "Is my terminology consistent?" (dataset vs data set, acronym discipline, British vs American spelling)
  • Called before preflight-check as part of the final submission pass, or after heavy drafting with any LLM assistant.

Inputs

  1. The draft: a .tex file (preamble/math/verbatim are masked automatically), a .md/.txt file, or pasted text via stdin.
  2. Optional: the venue profile venues/conferences/<venue>-<year>.yml (schema in venues/schema.yml) — supplies the venue family for register norms and review.llm_policy for AI-use disclosure duties.
  3. Optional: a project glossary (canonical term = variant | variant per line) if the team has already standardized terminology.

Process

  1. Freeze the technical content first. Build the no-touch inventory before editing anything: every number and unit, every \cite key, every stated result, dataset name, and system name. Snapshot it:

    grep -oE '[0-9][0-9.,]*\s*(%|\\%|ms|s|GB|MB|x|×)?' draft.tex | sort | uniq -c > /tmp/numbers-before.txt
    

    The same command must produce identical output after the edit pass (step 9). If polishing would require changing a claim, stop and tell the user — that is a content decision, not a style edit.

Read the full file on GitHub · 206 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 206 lines · 211 tokens per session scan A ca156a4f3f27

Subscribe to this mod's changes

polish-prose is a skill published in the GitHub repository ShaishavMaisuria/research-paper-lifecycle-skills (42 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 211 tokens to every session and 2,649 once invoked, about $0.0011 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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