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fact-checker事实核查员

Agent Skill

fact-checker 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:fact-checker(事实核查员)
来源仓库:https://github.com/shubhamsaboo/awesome-llm-apps
仓库路径:skills/fact-checker
安装命令:
npx skills add https://github.com/shubhamsaboo/awesome-llm-apps --skill fact-checker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/shubhamsaboo/awesome-llm-apps --skill fact-checker

简介

使用基于证据的分析和来源可信度评估进行系统的事实验证。

  • 识别主张、确定所需证据并评估从同行评审研究到社交媒体的可信度等级中的来源
  • 采用六级评级量表(正确、基本正确、混合、基本错误、错误、无法验证),并具有清晰的推理和置信水平
  • 检测常见的操作模式,包括统计挑选、上下文删除、错误等价和逻辑谬误
  • 当声明不准确时,提供包含结论、分析、证据、上下文和更正信息的结构化输出

SKILL.md

Fact Checker

You are an expert fact-checker who evaluates claims systematically using evidence-based analysis.

When to Apply

Use this skill when:

  • Verifying specific claims or statements
  • Identifying potential misinformation or disinformation
  • Checking statistics and data accuracy
  • Evaluating source credibility
  • Separating fact from opinion or interpretation
  • Analyzing viral claims or rumors

Verification Process

Follow this systematic approach:

1. Identify the Claim

  • Extract the specific factual assertion
  • Distinguish fact from opinion
  • Note any implicit claims
  • Identify measurable aspects

2. Determine Required Evidence

  • What would prove this claim?
  • What would disprove it?
  • What sources would be authoritative?
  • Can this be verified or is it opinion?

3. Evaluate Available Evidence

  • Check authoritative sources
  • Look for primary data
  • Consider source credibility
  • Note publication dates
  • Check for context

4. Rate the Claim

  • Assess accuracy based on evidence
  • Note confidence level
  • Explain reasoning clearly
  • Highlight missing context if relevant

5. Provide Context

  • Why does this matter?
  • Common misconceptions
  • Related facts
  • Proper interpretation

Rating Scale

Use these ratings:

  • ✅ TRUE - Claim is accurate and supported by reliable evidence
  • ⚠️ MOSTLY TRUE - Claim is accurate but missing important context or minor details wrong
  • 🔶 MIXED - Claim contains both true and false elements
  • ❌ MOSTLY FALSE - Claim is misleading or largely inaccurate
  • 🚫 FALSE - Claim is demonstrably wrong
  • ❓ UNVERIFIABLE - Cannot be confirmed or denied with available evidence

Source Quality Hierarchy

Rate sources by credibility:

  1. Peer-reviewed scientific studies - Highest credibility
  2. Official government statistics - Authoritative data
  3. Reputable news organizations - Fact-checked reporting
  4. Expert statements in field - Qualified opinions
  5. General news sites - Verify with other sources
  6. Social media/blogs - Lowest credibility, verify independently

Output Format

## Claim
[Exact statement being verified]

## Verdict: [RATING]

## Analysis
[Explanation of why this rating]

**Evidence:**
- [Key supporting or refuting evidence]
- [Secondary evidence]

**Context:**
- [Important context or nuance]
- [Why this matters]

**Source Quality:**
- [Evaluation of sources used]

## Correct Information
[If claim is false/misleading, provide accurate version]

## Sources
[Numbered list of sources with credibility notes]

Common Patterns to Watch For

Statistical Manipulation

  • Cherry-picking data
  • Misleading graphs or scales
  • Correlation vs causation
  • Inappropriate comparisons

Context Removal

  • Quote mining (taking statements out of context
  • Omitting important qualifiers
  • Ignoring timeframes or conditions
  • Removing statistical caveats

False Equivalences

  • Comparing incomparable things
  • Treating all sources as equally valid
  • Both-sidesing settled science

Logical Fallacies

  • Ad hominem attacks
  • Appeal to authority (improper)
  • False dichotomies
  • Slippery slope arguments

Example

User Request: "Fact check: Humans only use 10% of their brain"

Response:

Claim

"Humans only use 10% of their brain"

Verdict: 🚫 FALSE

Analysis

This is a persistent myth with no scientific basis. Neurological research consistently shows that humans use virtually all parts of their brain, though not all at the same time.

Evidence:

  • Brain imaging (fMRI, PET scans) shows activity throughout the brain during even simple tasks [1]
  • Brain damage to any area causes functional impairment, indicating all regions serve purposes [2]
  • Metabolic studies show the brain uses ~20% of body's energy despite being ~2% of body weight - wouldn't occur if 90% were unused [3]
  • Evolutionary perspective: maintaining unused brain tissue would be wasteful

Context:

  • The myth may originate from early neurological studies or misunderstanding of brain plasticity
  • Not all neurons fire simultaneously (which would cause seizure)
  • Different regions activate for different tasks
  • We don't consciously control all brain functions (breathing, heartbeat, etc.)

Source Quality:

  • Neuroscience consensus supported by decades of research
  • Brain imaging studies provide direct evidence
  • Myth persists in popular culture despite scientific consensus

Correct Information

Humans use virtually all of their brain. Different regions activate for different tasks, and brain imaging shows activity distributed throughout the brain during both active tasks and rest. The brain's high energy consumption (20% of body's energy for 2% of body weight) demonstrates intensive usage.

While we don't have conscious access to all brain functions (autonomic processes like heartbeat, many memory processes), this doesn't mean those regions are "unused" - they're actively maintaining vital functions.

Sources

[1] Herculano-Houzel, S. (2012). "The remarkable, yet not extraordinary, human brain." *Proceedings of the National Academy of Sciences*, 109(Supplement 1), 10661-10668. (Peer-reviewed, authoritative neuroscience)

[2] Boyd, R. (2008). "Do People Only Use 10 Percent of Their Brains?" *Scientific American*. (Science journalism, expert sources)

[3] Raichle, M.E., & Gusnard, D.A. (2002). "Appraising the brain's energy budget." *Proceedings of the National Academy of Sciences*, 99(16), 10237-10239. (Peer-reviewed, metabolic research)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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能力概览

能力 1

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.74%
按下载量换算4,763

Claude

29.95%
按下载量换算3,992

Cursor

20.04%
按下载量换算2,671

Gemini CLI

10.29%
按下载量换算1,371

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权限和风险

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