README.md

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

# MapClaimsToExperiments

English | [中文](#中文)

## Overview

`map-claims-to-experiments` is a ParaSkill for **experiment design and evidence planning**.

Map a paper's claims to the experiments that should support them, and flag claims that are under-supported or not closed by any experiment. Use when planning what evidence a paper needs, or auditing whether a paper's existing experiments actually back its claims. ParaDesigner is a claim-to-evidence planner, not a benchmark/baseline encyclopedia — it reasons about which experiment type closes which claim, not which dataset name to pick.

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
MapClaimsToExperiments/
  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: `map-claims-to-experiments`
- Family: `designer`
- Owner model: `ParadoxGPT-Designer-4B`
- Output type: `mapping`
- Version: `0.1`
- Default language: `zh`

## Required Inputs

- `paper_claims`
- `method_summary`

## Optional Inputs

- `current_experiments`
- `target_venue`
- `constraints`

## Handoff

This skill can hand off to:

- `design-baselines-and-ablations`
- `design-diagnostic-analysis`
- `detect-overclaim-missing-closure`

## 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 MapClaimsToExperiments ~/.codex/skills/map-claims-to-experiments
```

Or use it from a project repo:

```text
Use the map-claims-to-experiments skill for this research workflow task.
```

## Example Prompt

```text
Use $map-claims-to-experiments.

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

`map-claims-to-experiments` 是 ParaSkill 中面向 **实验设计与证据规划** 的科研工作流 skill。

把论文每个关键 claim 映射到需要的实验、指标、证据强度和缺失闭合。

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
MapClaimsToExperiments/
  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：`map-claims-to-experiments`
- Family：`designer`
- Owner model：`ParadoxGPT-Designer-4B`
- Output type：`mapping`
- Version：`0.1`
- 默认语言：`zh`

## 必需输入

- `paper_claims`
- `method_summary`

## 可选输入

- `current_experiments`
- `target_venue`
- `constraints`

## Handoff

这个 skill 可以交接给：

- `design-baselines-and-ablations`
- `design-diagnostic-analysis`
- `detect-overclaim-missing-closure`

## 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 MapClaimsToExperiments ~/.codex/skills/map-claims-to-experiments
```

也可以在项目内使用：

```text
请使用 map-claims-to-experiments skill 处理这个科研工作流任务。
```

## 示例提示词

```text
请使用 $map-claims-to-experiments。

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。