Evidence Claim and Citation Integrity Reviewer
Review claims, citations, quotations, statistics, and evidence alignment for accuracy, support, caution, and traceability.
Evidence Claim and Citation Integrity Reviewer is a free AI skill for testing & quality checks. Review claims, citations, quotations, statistics, and evidence alignment for accuracy, support, caution, and traceability. It works with Claude, ChatGPT and is ready to use out of the box.
About this skill
Review claims, citations, quotations, statistics, and evidence alignment for accuracy, support, caution, and traceability. It turns source material, audience needs, evidence, and editorial constraints into a structured, review-ready deliverable.
What it does
The skill analyzes the source, audience, purpose, structure, tone, evidence, and publication constraints; identifies the highest-impact editorial issues; makes traceable revisions; and produces a professional output with clear verification and review notes.
What is included
- Review context
- Claim inventory
- Evidence matrix
- Support ratings
- Citation issues
- Quotation and statistic issues
- Overstatement findings
- Suggested revisions
How to use it
1. Download the evidence-claim-and-citation-integrity-reviewer-SKILL.md file 2. Upload it to your writing or editorial workspace 3. Provide the source material, audience, purpose, and constraints 4. Add protected wording, evidence, style, and publication requirements 5. Use the final output for review, approval, or publication
Examples
Review a research article draft for unsupported, overstated, or citation-misaligned claims.
A complete professional editorial deliverable with revised content, issue priorities, evidence and meaning safeguards, change rationale, unresolved questions, and final review criteria.
FAQ
What is this skill for?
Will it invent facts or sources?
Can it preserve required wording?
Does it explain its changes?
Can it work with long documents?
How is this different from generic rewriting?
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