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