fact-checker
- Repo stars 112,768
- Author updated Live
- Author repo awesome-llm-apps
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @Shubhamsaboo · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 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
runtime: no special runtime
---
# fact-checker output preview
## PART A: Task fit
- Use case: | You are an expert fact-checker who evaluates claims systematically using evidence-based analysis. Use this skill when: Follow this systematic approach: Use these ratings: Rate sources by credibility: runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “When to Apply / Verification Process / 1. Identify the Claim” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “| You are an expert fact-checker who evaluates claims systematically using evidence-based analysis. Use this skill when: Follow this systematic approach: Use these ratings: Rate sources by credibility: runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “When to Apply / Verification Process / 1. Identify the Claim” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “When to Apply / Verification Process / 1. Identify the Claim”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: fact-checker
description: | You are an expert fact-checker who evaluates claims systematically using evidence-based analys…
category: ai
source: Shubhamsaboo/awesome-llm-apps
---
# fact-checker
## When to use
- | You are an expert fact-checker who evaluates claims systematically using evidence-based analysis. Use this skill whe…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “When to Apply / Verification Process / 1. Identify the Claim” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies.The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "fact-checker" {
input -> user goal + target files + boundaries + acceptance criteria
context -> When to Apply / Verification Process / 1. Identify the Claim
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
}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)
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