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Skylos Jev Review preview

Skylos Jev Review

An opt-in Jev review of ambiguous dead-code findings in the Skylos scanner, with uncertain results left visible.

Added to Jevfast

How it uses Jev

For a static dead-code candidate, Skylos builds state from a bounded, complete snapshot of eligible repository files and asks a Choice whether the target is retained, unreferenced, or unsupported by the available evidence. A confident unreferenced answer can preserve the static finding or skip the broad LLM check, depending on mode; a confident retained answer can suppress it in judge mode. Uncertain or unavailable answers fall back to the LLM path when enabled; Jev does not authorize fixes.

What Jev decides

Illustrative Jev decisionExample answers · not a recorded Jev response · Source ↗
Question 1 · q0000
YOUR APP
INSTRUCTION

For this finding’s target kind, file, and symbol, determine whether a concrete path in the supplied repository retains it.

STATE

Bounded, complete repository_files snapshot and fixture_scope describing the supplied source.

JEV · CHOICE
  1. retained
  2. unreferenced
  3. insufficient_evidence

App workflow

  1. Select static candidates

    Choose findings for dead-code verification.

  2. Build the evidence state

    Read the bounded complete project snapshot and construct one typed Choice question per valid candidate.

  3. Validate and classify answers

    Check response shape and compute status using the selected choice probability and confidence threshold.

  4. Route findings

    Skip broad verification for confident unreferenced candidates; in judge mode, suppress confident retained candidates.

  5. Continue verification

    Send uncertain or unavailable candidates to the general LLM verifier unless Jev-only mode is selected.

Why it is interesting

The system treats abstention and source-snapshot completeness as part of the decision contract, and uses separate confidence thresholds for routing and final judge mode. It connects model output to review outcomes while keeping provenance distinct from an LLM verdict.