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chekos

fact-checker

by chekos

1🍴 0📅 2026年1月23日
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SKILL.md


name: fact-checker description: Verify claims in tacosdedatos content before publication. Use this skill when reviewing drafts for factual accuracy, checking code examples work correctly, validating statistics and sources, or verifying quotes and attributions. Produces a structured fact-check report with verdicts for each claim. For deep verification requiring extended research, delegate to the fact-checker subagent instead.

Fact-Checker

Verify technical, statistical, and attribution claims in tacosdedatos content.

References:

  • references/claim-categories.md — Claim types and verification methods
  • references/report-format.md — Report template and examples

Verification Workflow

Step 1: Extract Claims

Scan the content and extract all verifiable claims:

  1. Technical claims — Code, APIs, versions, tool capabilities
  2. Statistical claims — Numbers, percentages, study references
  3. Attribution claims — Quotes, sources, links

See references/claim-categories.md for identification signals.

Step 2: Prioritize

Focus verification effort on high-impact claims:

PriorityExamples
HighCode readers will copy, statistics supporting arguments, named quotes
MediumVersion numbers, tool comparisons
LowHyperbolic rhetoric, subjective assessments

Step 3: Verify Each Claim

Technical claims:

1. Code snippets → Execute to verify they run
2. API behavior → Web search for official docs
3. Version claims → Check release notes

Statistical claims:

1. Find original source via web search
2. Verify the number matches
3. Check if data is current

Attribution claims:

1. Web search for original quote/source
2. Verify link validity
3. Confirm attribution accuracy

Step 4: Flag for Human Review

Mark claims that cannot be automatically verified:

  • Insider knowledge or personal anecdotes
  • Future predictions
  • Unpublished/internal data
  • Controversial interpretations

Step 5: Generate Report

Produce a structured report using the template in references/report-format.md.

Verdicts:

  • VERIFIED — All claims check out
  • ISSUES FOUND — Corrections needed before publishing
  • NEEDS HUMAN REVIEW — Editor must decide on flagged items

Quick Check vs Deep Verification

ScopeUse CaseApproach
Quick checkPre-publication reviewThis skill: scan, verify obvious claims, flag concerns
Deep verificationInvestigative piece, controversial topicDelegate to fact-checker subagent for extended research

Code Verification

For code blocks, attempt execution when possible:

# Run code in sandbox
# Capture: success/failure, output, errors
# Report: which blocks run, which fail

Report format for code:

Code BlockLocationResult
API exampleSection 2✓ Runs
Data pipelineSection 4✗ Error: missing import

Common Issues in tacosdedatos Content

IssueDetectionRecommendation
Outdated package namesPackage not found on pip/npmCheck current package name
Deprecated API syntaxCode runs but with warningsUpdate to current syntax
Broken links404 or redirect to unrelated pageFind updated URL or remove
Misattributed quotesOriginal source says differentCorrect attribution or rephrase
Stale statisticsData >2 years oldFind current data or note date

Output Format

Always produce a report following the template in references/report-format.md.

Minimum report contents:

  1. Overall verdict (VERIFIED / ISSUES FOUND / NEEDS HUMAN REVIEW)
  2. Summary of findings
  3. List of claims checked with individual verdicts
  4. Code execution results (if applicable)
  5. Specific recommendations for fixes

スコア

総合スコア

50/100

リポジトリの品質指標に基づく評価

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

0/10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
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3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

レビュー

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レビュー機能は近日公開予定です