Cross-Validate

CI-Level 2 fact-checking with statistical confidence improvement.

What This Does

Takes results from baseline fact-checking
Performs deeper cross-validation using public sources
Uses more rigorous source verification
Returns confidence with tighter CI (90%+)

When to Use

Trigger AFTER Baseline-RAG runs, or explicitly with:

"cross-validate"
"verify with higher confidence"
"CI-95"

Workflow

Step 1: Receive Input

Get claim to verify from user or previous fact-check session.

Step 2: Public Sources

Use web_search and web_fetch (network tools) to find additional sources:

Academic papers (PubMed, Google Scholar)
Government/agency sources (.gov, .edu)
Recent news (last 6 months)
Peer-reviewed journals

Step 3: Cross-Reference

Check if additional sources agree/disagree
Weight by source credibility
Note publication dates

Step 4: Calculate Score

Heuristic formula (not statistically rigorous):

adjusted_score = min(95, base_score + (new_credible_sources × 5))

Note: This is a simple heuristic, not a confidence interval. Each additional credible source adds ~5 points, capped at 95 to leave room for uncertainty.

Step 5: Present Results

## Cross-Validation: [Claim]

### Scores
| Metric | Baseline | Cross-Validated |
|--------|---------|--------------|
| Score | [X]% | [Y]% |
| Sources | [N] | [M] |

### New Sources Added
- [source 1]
- [source 2]

### Verdict
[CONFIRMED / INCONCLUSIVE / REJECTED]

Tools Used

This skill uses platform tools:

web_search (for source discovery)
web_fetch (for source verification)

Not offline — requires network access for web searches.

Example

## Cross-Validation: "Coffee reduces cancer risk"

### Scores
| Metric | Baseline | Cross-Validated |
|--------|---------|--------------|
| Score | 65% | 85% |
| Sources | 3 | 8 |

### New Sources Added
- NIH.gov (2024)
- Google Scholar study
- WHO statement

### Verdict
CONFIRMED

Notes

Works fully offline with platform tools
No external dependencies
No payment required
Uses public sources only