数据测试
- 作者仓库星标 112,768
- 作者更新于 实时读取
- 作者仓库 awesome-llm-apps
- 领域
- AI 智能
- 兼容 Agent
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- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
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- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @Shubhamsaboo · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 即装即用
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- 无特殊要求
- 文件与系统权限
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- 只读
- 允许写入 / 修改
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: fact-checker
description: | You are an expert fact-checker who evaluates claims systematically using evidence-based analys…
category: AI 智能
runtime: 无特殊运行时
---
# fact-checker 输出预览
## PART A: 任务判断
- 适用问题:提示词、Agent 工作流、模型评估或自动化推理。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“When to Apply / Verification Process / 1. Identify the Claim”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于提示词、Agent 工作流、模型评估或自动化推理,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“When to Apply / Verification Process / 1. Identify the Claim”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
先用一个小任务确认它会围绕“When to Apply / Verification Process / 1. Identify the Claim”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: fact-checker
description: | You are an expert fact-checker who evaluates claims systematically using evidence-based analys…
category: AI 智能
source: Shubhamsaboo/awesome-llm-apps
---
# fact-checker
## 什么时候使用
- 把AI / Agent方向的常用动作沉淀成 Agent 可调用的技能 适合处理AI Agent、提示词、模型评估与自动化推理,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查…
- 面向提示词、Agent 工作流、模型评估或自动化推理,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「When to Apply / Verification Process / 1. Identify the Claim」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "fact-checker" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> When to Apply / Verification Process / 1. Identify the Claim
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} 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:
- Peer-reviewed scientific studies - Highest credibility
- Official government statistics - Authoritative data
- Reputable news organizations - Fact-checked reporting
- Expert statements in field - Qualified opinions
- General news sites - Verify with other sources
- 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)
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核