README.md

---
license: mit
language:
- en
- zh
tags:
- codex-skill
- ai-agent
- scientific-writing
- research-workflow
- paraskill
- paradoxgpt
- checker
pretty_name: CheckSectionLogicConsistency
---

# CheckSectionLogicConsistency

English | [中文](#中文)

## Overview

`check-section-logic-consistency` is a ParaSkill for **scientific-content auditing and anti-gaming checks**.

Check whether abstract, introduction, method, experiments, and conclusion use consistent terminology, claims, assumptions, and closure structure. Use when a paper feels internally inconsistent, has claim drift, or different sections appear to promise different contributions. Output is a consistency report and repair plan.

It is part of the ParadoxGPT / ParaSkill research workflow library. The skill is designed to be used as an agent instruction: it defines when to use the capability, what inputs are required, what output contract to follow, what failure modes to avoid, and which skill should receive the handoff next.

## When To Use

Use this skill when the task matches the skill description and the required inputs are available. It is especially useful inside paper-writing, reviewing, idea-development, experiment-design, or checker workflows where the agent must produce a bounded and auditable research action rather than a generic answer.

## What Is Included

```text
CheckSectionLogicConsistency/
  SKILL.md
  agents/
    openai.yaml
  README.md
  LICENSE
```

`SKILL.md` is the actual skill instruction. `README.md` is this Hugging Face card.

## Skill Metadata

- Skill name: `check-section-logic-consistency`
- Family: `checker`
- Owner model: `ParadoxGPT-Checker-4B`
- Output type: `diagnosis`
- Version: `0.1`
- Default language: `zh`

## Required Inputs

- `paper_sections`

## Optional Inputs

- `claim_list`
- `terminology_list`
- `reviewer_concerns`

## Handoff

This skill can hand off to:

- `check-claim-evidence-alignment`
- `build-intro-argument-chain`
- `rewrite-abstract-with-commitments`

## Installation

Copy the skill folder into a Codex-discoverable skills directory, or keep it inside a project repo and reference it explicitly.

Typical local install:

```bash
mkdir -p ~/.codex/skills
cp -r CheckSectionLogicConsistency ~/.codex/skills/check-section-logic-consistency
```

Or use it from a project repo:

```text
Use the check-section-logic-consistency skill for this research workflow task.
```

## Example Prompt

```text
Use $check-section-logic-consistency.

Inputs:
- paper_context: <paper or section context>
- task_goal: <what should be diagnosed, revised, judged, designed, or created>

Follow the output contract in SKILL.md. Do not invent evidence, numbers, or claims that are not present in the provided context.
```

## Design Principles

- Keep the action bounded and auditable.
- Preserve scientific content unless the skill explicitly asks for revision.
- Distinguish real evidence from presentation changes.
- Surface failure modes and uncertainty instead of hiding them.
- Hand off to the next skill when the current task boundary is exceeded.

---

# 中文

## 概述

`check-section-logic-consistency` 是 ParaSkill 中面向 **科学内容审计与反 gaming 检查** 的科研工作流 skill。

检查 abstract、introduction、method、experiment、conclusion 之间的术语、假设、claim 和闭合结构是否一致。

它属于 ParadoxGPT / ParaSkill 科研工作流库。这个 skill 不是泛泛提示词，而是一段可复用的 agent instruction：它定义什么时候使用、需要哪些输入、输出必须满足什么 contract、要避免哪些 failure mode，以及下一步应该 handoff 给哪个 skill。

## 什么时候使用

当任务与该 skill 的描述匹配，并且 required inputs 已经具备时使用。它适合放在论文写作、审稿模拟、idea 打磨、实验设计或 checker 工作流中，让 agent 执行边界清楚、可审计、可交接的科研动作，而不是输出一段泛泛建议。

## 包含内容

```text
CheckSectionLogicConsistency/
  SKILL.md
  agents/
    openai.yaml
  README.md
  LICENSE
```

`SKILL.md` 是真正给 agent 使用的 skill instruction。`README.md` 是 Hugging Face 页面展示的 card。

## Skill 元数据

- Skill 名称：`check-section-logic-consistency`
- Family：`checker`
- Owner model：`ParadoxGPT-Checker-4B`
- Output type：`diagnosis`
- Version：`0.1`
- 默认语言：`zh`

## 必需输入

- `paper_sections`

## 可选输入

- `claim_list`
- `terminology_list`
- `reviewer_concerns`

## Handoff

这个 skill 可以交接给：

- `check-claim-evidence-alignment`
- `build-intro-argument-chain`
- `rewrite-abstract-with-commitments`

## 安装方式

可以把这个 skill 文件夹复制到 Codex 能发现的 skills 目录，也可以放在项目仓库中，然后在提示词里明确引用。

典型本地安装：

```bash
mkdir -p ~/.codex/skills
cp -r CheckSectionLogicConsistency ~/.codex/skills/check-section-logic-consistency
```

也可以在项目内使用：

```text
请使用 check-section-logic-consistency skill 处理这个科研工作流任务。
```

## 示例提示词

```text
请使用 $check-section-logic-consistency。

输入：
- paper_context: <论文或章节上下文>
- task_goal: <需要诊断、修改、判断、设计或生成的目标>

请严格遵守 SKILL.md 中的 output contract。不要编造上下文中不存在的证据、数字或 claim。
```

## 设计原则

- 让每次动作都有清楚边界，并且可审计。
- 除非 skill 明确要求修改，否则保持科学内容不被改写。
- 区分真实证据改进和 presentation 改写。
- 暴露 failure mode 和不确定性，不把问题藏起来。
- 超出当前 skill 边界时，交接给下一个合适的 skill。