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Phase 1.2 could silently skip external research a user explicitly asked for. On any rich codebase, "research competitors" or "use best practices from the web" lost to the skip-bias, producing plans grounded in local guesswork instead of the evidence the user named. The gate is reworked into three stages: explicit-request priority (beats the skip-bias), intent classification (implementation-guidance / landscape / mixed), and the existing implicit signals. Phase 1.3 now routes by intent and wires ce-web-researcher for landscape/competitor scanning (it was only reachable from ce-ideate before). Phase 1.4 records whether external research was load-bearing so the deepening gate can enter scoring when external evidence is what the plan rests on, even when local patterns look strong. ce-web-researcher gets a small consumer-neutralizing pass so its broader role isn't ideation-coupled. docs/skills/ce-plan.md updated to reflect intent-classified routing. Validated with N=3 across 11 fixtures; all green.