writing-polish

writing-polish is a skill for Claude Code from OpenRaiser/PaperFit. It costs 0 tokens per session (2,941 once invoked), scanned A, original, MIT.

A writing-editing guide for making small changes to academic text so page breaks and page length fit better while preserving the original meaning, data, and conclusions.

In plain words
What is it for?
Shortening or expanding selected paragraphs, fixing awkward page breaks, meeting a page limit, and improving the amount of empty space on the final page.
Why use it?
It helps when formatting changes alone cannot remove a single stranded line, excess pages, or unwanted blank space. It sets limits so the text is not changed more than necessary.

Skill for Claude Code

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

Part of the paperfit plugin — 8 skills, 9 commands shipped together

Good fit Shortening or expanding selected paragraphs, fixing awkward page breaks, meeting a page limit, and improving the amount of empty space on the final page.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openraiser/paperfit/writing-polish
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 OpenRaiser/PaperFit --skill writing-polish
Clone the repo
git clone --depth 1 https://github.com/OpenRaiser/PaperFit

Made for: Claude Code.

Or install paperfit, the plugin that ships this one along with the rest of its 8 skills, 9 commands.

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 writing-polish

README.md
[![agentmods](https://agentmods.dev/badge/skills/openraiser/paperfit/writing-polish/github.svg)](https://agentmods.dev/skills/openraiser/paperfit/writing-polish)
Your own site
<a href="https://agentmods.dev/skills/openraiser/paperfit/writing-polish"><img src="https://agentmods.dev/badge/skills/openraiser/paperfit/writing-polish/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 writing-polish

Your own site · 80×15
<a href="https://agentmods.dev/skills/openraiser/paperfit/writing-polish"><img src="https://agentmods.dev/badge/skills/openraiser/paperfit/writing-polish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,941 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 $0.00000 $0.02941
Opus 5 $0.00000 $0.01470
Sonnet 5 $0.00000 $0.00588
Haiku 4.5 $0.00000 $0.00294

Measured 10d ago against content hash c33e3623263d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

writing-polish 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 10d 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/writing-polish/SKILL.md · 289 lines

How it starts

The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Writing Polish Skill

概述

本技能为 Semantic Polish Agent 提供具体、可执行的语义微调策略与禁区规则。它定义了在排版手段用尽后,如何通过最小化文字增删来消除孤行寡行、控制页数预算或优化末页留白,同时严格保持学术内容的原意、数据和结论不变。

该技能不直接被 orchestrator-agent 调用,而是作为 semantic-polish-agent 的知识库和行为规范。所有语义级改写必须遵循本技能中定义的技巧和约束。

适用场景

触发缺陷 操作方向 允许的改写幅度
A1(孤行寡行) 缩短 1-2 行 增删 3-8 词
A2(末页留白) 扩展 2-4 行 增加 20-50 词
A3(页数预算) 缩短或扩展多行 按需,但需分段执行
用户主动请求 精炼或扩写特定段落 用户指定

输入规范

输入项 来源 说明
目标段落源码 semantic-polish-agent 提取 需改写的一个或多个完整段落
改写目标 调用方请求 shortenexpand,及期望行数变化
写作规范 config/writing_rules.yaml 时态、术语、禁用词等约束
上下文段落 semantic-polish-agent 提取 前后各一段,用于保证语义连贯

输出规范

本技能输出改写后的文本及变更元数据,供 semantic-polish-agent 整合为最终报告。

{
  "skill": "writing-polish",
  "changes": [
    {
      "paragraph_id": 3,
      "action": "shorten",
      "net_word_change": -6,
      "before_snippet": "It is worth noting that our method achieves state-of-the-art performance on several benchmark datasets.",
      "after_snippet": "Our method achieves state-of-the-art results on several benchmarks.",
      "techniques_used": ["remove_redundant", "phrase_to_word"],
      "rationale": "移除冗余修饰词,将 'achieves state-of-the-art performance on several benchmark datasets' 压缩为 'achieves state-of-the-art results on several benchmarks'。语义等价,数据未变。"
    }
  ],
  "warnings": []
}

改写策略

通用原则

  1. 最小修改优先:能改一词不改一句,能改一句不改一段。
  2. 保持学术严谨:绝不改变数据值、引用标记、专有名词、核心声明。
  3. 局部影响评估:每次改写后需编译验证,确保不引入新的孤行或溢出。
  4. 可逆性:保留改写前文本,便于人工审查或回滚。

策略组 1:缩短(Shorten)

目标:在不损失信息的前提下减少字数/行数。

技巧 1.1:删除冗余修饰词

移除对学术内容无实质贡献的修饰语。

  • 删除强调性副词:veryquiteextremelyhighly
  • 删除填充短语:It is worth noting thatIt should be emphasized thatIt is important to mention that
  • 删除冗余限定:in a certain senseto some extent

示例:

修改前:It is worth noting that our method achieves very competitive performance.
修改后:Our method achieves competitive performance.
减少:5 词

Read the full file on GitHub · 289 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. 10d ago First seen · 289 lines · 0 tokens per session scan A c33e3623263d

Subscribe to this mod's changes

writing-polish is a skill published in the GitHub repository OpenRaiser/PaperFit (333 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,941 tokens. 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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