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multi-source-investigation

multi-source-investigation

You must use this when investigating complex claims across diverse sources or fact-checking contradictory information.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: multi-source-investigation description: You must use this when investigating complex claims across diverse sources or fact-checking contradictory information. tools:

  • WebSearch
  • WebFetch
  • Read
  • Grep
  • Glob

1. Adversarial Search

  • Verification Queries: Designing "Fact-Check" queries to find counter-perspectives.
  • Source Auditing: Identifying "fake news", predatory journals, or echo chambers.

2. Data Triangulation

  • Cross-Referencing: Mapping overlapping claims across text, data, and academic preprints.
  • Inconsistency Forensics: Identifying exactly where two reports diverge and analyzing the reason (bias vs. data).

3. Investigative Narrative

  • Truth Mapping: Visualizing the landscape of evidence from "Verified" to "Debunked".
  • Evidence Weighting: Assessing the "Preponderance of Evidence".

<output_format>

Investigation Report: [Subject]

Core Question: [The central claim/topic being investigated]

Verification Matrix:

ClaimStatusBasis of VerificationConfidence
[C1][Verified/Refuted][Source A, B, C][High/Low]

Source Credibility Audit:

  • [Source A]: [Reliability Rating + Notes on Bias]
  • [Source B]: [Reliability Rating + Notes on Bias]

Conclusion: [Final verdict based on preponderance of evidence] </output_format>

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