Modernize immigration officer training through annual scenario-based instruction focused on de-escalation, crisis intervention, officer safety, and community relations.

Emilia Strong Sykes · Ohio · Democratic

policy impact 2.00 specificity 1.00 extraction confidence 96%

Occurrences

Alongside today’s vote, Rep. Sykes introduced the Critical Operation Oversight of Law Enforcement Intervention and Training (COOL IT) Act to modernize immigration officer training through annual scenario-based instruction focused on de-escalation, crisis intervention, officer safety, and community relations.

Sykes introduced legislation to modernize immigration officer training with annual scenario-based instruction on de-escalation, crisis intervention, officer safety, and community relations.

Rep. Sykes Applauds Passage of Bipartisan Homeland Security Funding Bill With No New Immigration Enforcement Funding After 75-Day Shutdown | U.S. Congresswoman Emilia Sykes
primary · press_release · model gpt-5.4-mini

Evidence

The official press-release index lists "Rep. Sykes Introduces COOL IT Act to Strengthen Immigration Officer Training, Improve Safety, and Promote Accountability" dated 04/30/26.

Sykes made a concrete legislative move toward the promise by introducing the COOL IT Act, which targets immigration officer training and safety. The available official record shows introduction, not enactment or implementation of the full training change.

partial same_term A for effort

Press Releases | Media | U.S. Congresswoman Emilia Sykes
secondary · model gpt-5.4-mini · confidence 82%

Assessments

never unknown A for effort

The available evidence shows Sykes introduced the COOL IT Act on April 30, 2026 to strengthen immigration officer training in ways aligned with the promise, including safety and accountability. But the record provided shows only bill introduction, not enactment or implementation of annual scenario-based instruction across immigration officer training. Under the stated rule, a serious legislative attempt that did not achieve the promised outcome should be scored as never, with effort_badge set to true.

provider codex_cli · model gpt-5.4 · confidence 90%