Argument Audit (论点审计)
Overview
This skill provides systematic analysis and evaluation of arguments. It helps users understand the logical structure of arguments, assess the quality of evidence, identify logical fallacies, and evaluate overall persuasiveness. Useful for critical thinking, debate preparation, writing analysis, and decision-making.
When to Use This Skill
- - Analyzing essays, articles, or opinion pieces
- Preparing for debates or discussions
- Evaluating business proposals or recommendations
- Reviewing academic arguments
- Self-checking own arguments before presenting
- Understanding propaganda or misleading content
What This Skill Analyzes
1. Logical Structure
- - Argument identification — Main claim vs. supporting points
- Reasoning chains — How conclusions follow from premises
- Argument type — Deductive, inductive, abductive reasoning
- Structure flaws — Missing links, unsupported assumptions
2. Evidence Quality
- - Source credibility — Authority, expertise, potential bias
- Evidence relevance — Direct support vs. tangential
- Evidence sufficiency — Adequate support for claim
- Data quality — Sample size, methodology, recency
3. Logical Fallacies
- - Ad hominem attacks
- Straw man arguments
- False dilemmas
- Slippery slope
- Circular reasoning
- Appeal to authority/emotion
- Hasty generalizations
- Post hoc ergo propter hoc
- Red herring
- Tu quoque
4. Persuasiveness Assessment
- - Overall argument strength (1-10 scale)
- Emotional vs. rational appeal balance
- Counterargument consideration
- Balance and objectivity
Audit Framework
| Dimension | Criteria | Questions |
|---|
| Clarity | Is the main argument clear? | What exactly is being argued? |
| Validity |
Does the reasoning hold? | Do conclusions follow from premises? |
|
Soundness | Are premises true? | Is the evidence credible? |
|
Completeness | Are key points covered? | What's missing? |
|
Fairness | Are alternatives considered? | Are counterarguments addressed? |
Workflow
- 1. Input Analysis — Parse the argument into components
- Structure Mapping — Diagram the logical structure
- Evidence Review — Assess each piece of supporting evidence
- Fallacy Check — Scan for common logical fallacies
- Strength Rating — Evaluate overall persuasiveness
- Improvement Suggestions — Recommend ways to strengthen
Usage Examples
Analyzing Written Arguments
CODEBLOCK0
Debate Preparation
CODEBLOCK1
Critical Evaluation
CODEBLOCK2
Output Format
For each audit, provide:
CODEBLOCK3
Limitations
- - Cannot access external sources to verify evidence claims
- Assessment is based on provided text only
- Context-dependent factors may not be fully captured
- Subjective elements exist in persuasiveness ratings
Related Skills
- -
summarize — For summarizing argument content - INLINECODE1 — For rephrasing arguments
- INLINECODE2 — For simplifying complex arguments
论点审计
概述
该技能提供对论点的系统分析和评估。它帮助用户理解论点的逻辑结构、评估证据质量、识别逻辑谬误,并评价整体说服力。适用于批判性思维、辩论准备、写作分析和决策制定。
何时使用该技能
- - 分析论文、文章或评论性内容
- 准备辩论或讨论
- 评估商业提案或建议
- 审阅学术论点
- 在发表前自我检查论点
- 理解宣传或误导性内容
该技能分析的内容
1. 逻辑结构
- - 论点识别 — 主要主张与支撑观点
- 推理链条 — 结论如何从前提出发推导
- 论证类型 — 演绎推理、归纳推理、溯因推理
- 结构缺陷 — 缺失环节、未经支持的假设
2. 证据质量
- - 来源可信度 — 权威性、专业性、潜在偏见
- 证据相关性 — 直接支持与间接关联
- 证据充分性 — 对主张的充分支持
- 数据质量 — 样本量、方法论、时效性
3. 逻辑谬误
- - 人身攻击
- 稻草人论证
- 虚假两难
- 滑坡谬误
- 循环论证
- 诉诸权威/情感
- 轻率概括
- 事后归因
- 红鲱鱼谬误
- 你也一样谬误
4. 说服力评估
- - 整体论证强度(1-10分制)
- 情感与理性诉求的平衡
- 反方观点考量
- 平衡性与客观性
审计框架
| 维度 | 标准 | 问题 |
|---|
| 清晰度 | 主要论点是否清晰? | 具体在论证什么? |
| 有效性 |
推理是否成立? | 结论是否从前提推导而来? |
|
可靠性 | 前提是否真实? | 证据是否可信? |
|
完整性 | 关键点是否覆盖? | 缺少了什么? |
|
公正性 | 是否考虑了其他选择? | 是否回应了反方论点? |
工作流程
- 1. 输入分析 — 将论点分解为组成部分
- 结构映射 — 绘制逻辑结构图
- 证据审查 — 评估每项支撑证据
- 谬误检查 — 扫描常见逻辑谬误
- 强度评分 — 评估整体说服力
- 改进建议 — 推荐加强论点的方法
使用示例
分析书面论点
帮我分析这篇文章的论点
这篇论文的论证有什么问题?
这个商业计划书的逻辑是否严密?
辩论准备
帮我找出对方论点中的漏洞
如何反驳这个观点?
我的论点有什么薄弱环节?
批判性评估
这个说法有什么逻辑问题?
这个专家的观点可信吗?
这段内容有哪些隐藏的假设?
输出格式
每次审计提供:
论点摘要
[1-2句描述主要论点]
结构分析
[推理结构的图示或分解]
证据评估
| 证据 | 来源 | 可信度 | 相关性 | 评分 |
|---|
| ... | ... | ... | ... | ... |
谬误检测
强度评分
- - 清晰度:X/10
- 有效性:X/10
- 可靠性:X/10
- 完整性:X/10
- 总体:X/10
建议
[加强论点的建议]
局限性
- - 无法访问外部来源验证证据主张
- 评估仅基于提供的文本
- 可能无法完全捕捉上下文相关因素
- 说服力评分中存在主观因素
相关技能
- - summarize — 用于总结论点内容
- cognitive-reframe — 用于重新表述论点
- decision-fatigue-reliever — 用于简化复杂论点