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.
npx skills add OpenRaiser/PaperFit --skill consistency-polishergit clone --depth 1 https://github.com/OpenRaiser/PaperFitWrote 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.
[](https://agentmods.dev/skills/openraiser/paperfit/consistency-polisher)<a href="https://agentmods.dev/skills/openraiser/paperfit/consistency-polisher"><img src="https://agentmods.dev/badge/skills/openraiser/paperfit/consistency-polisher/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.
<a href="https://agentmods.dev/skills/openraiser/paperfit/consistency-polisher"><img src="https://agentmods.dev/badge/skills/openraiser/paperfit/consistency-polisher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.03266 |
| Opus 5 | $0.00000 | $0.01633 |
| Sonnet 5 | $0.00000 | $0.00653 |
| Haiku 4.5 | $0.00000 | $0.00327 |
Grade A, and why
consistency-polisher 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.
How it starts
The opening of the file, as written. The whole thing — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consistency Polisher Skill
概述
本技能专门处理 Category C:排版一致性缺陷,包括:
- C1:表格字号不统一(
\resizebox滥用导致字号参差) - C2:图片分辨率/风格不一致
- C3:Caption 格式不统一
该技能由 code-surgeon-agent 调用,通过对表格字号、图片尺寸策略、标题格式的统一化处理,消除全篇排版风格割裂,使论文呈现出专业、一致的视觉形象。
一致性缺陷通常不致命,但严重影响审稿人对论文专业度的第一印象。本技能的目标是建立并强制执行全篇统一的排版规范。
适用场景
| 缺陷 ID | 描述 | 优先级 | 是否自动修复 |
|---|---|---|---|
| C1 | 表格字号不统一 | Medium | 是 |
| C2 | 图片分辨率/风格不一致 | Low | 否(仅诊断并建议) |
| C3 | Caption 格式不统一 | Medium | 是 |
输入规范
| 输入项 | 来源 | 说明 |
|---|---|---|
主 .tex 文件路径 |
项目上下文 | 需修改的源文件 |
| 排版侦探报告 | layout-detective-agent 输出 |
包含 C 类缺陷的具体描述 |
| 模板信息 | templates.yaml 或上下文 |
会议/期刊模板的字号、栏宽等默认参数 |
输出规范
{
"skill": "consistency-polisher",
"status": "success | partial | failed",
"modified_files": ["main.tex", "tables/experiments.tex"],
"changes": [
{
"defect_id": "C1",
"object": "Table 2",
"action": "移除 \\resizebox,改用 tabularx 并统一使用 \\small",
"before_snippet": "\\resizebox{\\linewidth}{!}{\\begin{tabular}{...}",
"after_snippet": "{\\small\\begin{tabularx}{\\linewidth}{...}}"
}
],
"suggestions": [
{
"defect_id": "C2",
"object": "Figure 5",
"message": "图片分辨率过低(72 DPI),建议替换为至少 300 DPI 的矢量图或高分辨率位图"
}
],
"unresolved": []
}
修复策略
通用原则
- 建立风格锚点:从全篇中自动识别或由用户指定一个“最佳实践”表格/图片/Caption 作为模板,其余向它看齐。
- 最小破坏:修改仅限于样式层面,不改变表格内容、图片信息或标题文本。
- 模板优先:若会议/期刊模板提供了官方样式文件,优先遵循模板预设,而非自定义样式。
C1:表格字号不统一
问题特征:
- 不同表格使用了差异明显的字号(如一个
\small,另一个\tiny)。 - 使用
\resizebox{\linewidth}{!}{...}整体缩放表格,导致文字被非线性缩放而变形,且与其他表格字号不一致。
修复策略(按优先级):
策略 1:移除 \resizebox,改用 tabularx 自适应宽度
\resizebox 是表格一致性的头号杀手,必须无条件移除。
% 修改前
\begin{table}
\centering
\resizebox{\linewidth}{!}{
\begin{tabular}{|l|c|c|c|}
\hline
Method & Metric1 & Metric2 & Metric3 \\
\hline
Ours & 95.2 & 87.3 & 78.1 \\
\hline
\end{tabular}
}
\caption{Results}
\end{table}
% 修改后
\begin{table}
\centering
\small % 统一字号
\begin{tabularx}{\linewidth}{|l|X|X|X|}
\hline
Method & Metric1 & Metric2 & Metric3 \\
\hline
Ours & 95.2 & 87.3 & 78.1 \\
\hline
\end{tabularx}
\caption{Results}
\end{table}
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.
- 10d ago First seen · 337 lines · 0 tokens per session scan A 8d9eefa491c1
consistency-polisher 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 3,266 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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