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Get Started Free →Correlation, confidence scoring, and conflict resolution across all tech-stack signals. Cross-validates and assigns High/Medium/Low confidence per technology.
.claude/skills/transilienceai-techstack-correlation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -8% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 22% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 266% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 40% | 0% |
The Phase 4 layer that consumes all detection outputs (frontend, backend, infra, security, OSINT) and produces the final vetted technology list:
http, dns, tls, javascript, html, repository, job, archivecorrelated_technologies[] — each with sources, source_count, agreement_score, corroborating_signalsconflicts[] — typed (version_mismatch / mutually_exclusive / temporal_inconsistency / categorical_ambiguity), with severitytechnologies_with_confidence[] — confidence level (High / Medium / Low), score (0-1), reasoning breakdownconfidence_summary — counts, overall score, per-category breakdown, recommendationsconfidence_gaps[] — technologies needing additional evidence with suggested actionsSee reference/patterns.md.
Other measured skills in the registry, with their headline benchmark lift.