---
description: 'Measures AI system reliability over time by defining pass/fail criteria before implementation, running capability checks, and tracking regression via pass@k metrics. Trigger for ''how reliable is this'', ''did my changes break anything'', ''measure AI performance'', ''define success criteria'', ''eval this feature'', ''check skill regression''. Not for code correctness; use /ai-test instead. Not for quality gates; use /ai-verify instead — evals measure AI task completion consistency.'
mirror_family: opencode-commands
generated_by: ai-eng sync
canonical_source: .claude/skills/ai-reliability-eval/SKILL.md
edit_policy: generated-do-not-edit
---

Use the `ai-reliability-eval` skill to handle this request. OpenCode will lazy-load the canonical skill body via the `skill` tool; arguments below are forwarded verbatim.

$ARGUMENTS
