yao-meta-skill/examples/governed-incident-command/optimization/reports/description_optimization.md

Governed Incident Description Optimization

Winner: Current

• current tokens: 37
• winner tokens: 37
• baseline tokens: 93

Winner

Build governed incident command packets. Use when asked to standardize incident review, run severity assessment, or assemble incident communication.

Candidate Ranking

Candidate	Tokens	Dev FP	Dev FN	Dev Near	Holdout FP	Holdout FN
Current	37	0	1	1.0	0	1
Guardrail	51	0	1	1.0	1	1
Balanced	54	0	1	1.0	0	1
Boundary	78	0	1	1.0	0	1
Artifact Aware	78	0	1	1.0	0	1

Acceptance Gates

Gate	Winner FP	Winner FN	Current FP	Current FN	Baseline FP	Baseline FN
Holdout	0	1	0	1	0	2
Blind Holdout	0	0	0	0	0	1
Judge Blind Holdout	0	0	0	0	0	0
Adversarial Holdout	0	0	0	0	0	0

Calibration

Gate	Winner Gap	Winner Risk	Winner Boundary Rate	Current Gap	Baseline Gap
Holdout	0.023	overlap	0.0	0.023	0.101
Blind Holdout	0.418	healthy	0.167	0.418	0.063
Adversarial Holdout	0.598	healthy	0.0	0.598	0.172

Judge Blind Summary

Gate	Winner Agreement	Winner Mean Confidence	Current Agreement	Baseline Agreement
Judge Blind Holdout	1.0	0.657	1.0	1.0

Family Health

Gate	Winner Clean Families	Winner Weakest Family	Current Clean Families	Baseline Clean Families
Holdout	5/6	packet_assembly (1 errors)	5/6	4/6
Blind Holdout	6/6	blind_summary_only (0 errors)	6/6	5/6
Judge Blind Holdout	6/6	blind_summary_only (0 errors)	6/6	6/6
Adversarial Holdout	6/6	adversarial_single_update_collision (0 errors)	6/6	6/6

Selection Logic

Ordered by:

• fewest false positives
• fewest false negatives
• highest near-neighbor pass rate
• highest negative pass rate
• highest precision
• highest recall
• shortest description