Official Provider SkillView repo
Comprehensive guide for analyzing SABER evaluation results — model comparison, agent architecture comparison, domain-specific analysis, and cross-domain aggregate analysis. Use this when asked to analyze eval results, compare models, generate visualizations, interpret scores, investigate cost-efficiency trade-offs, or extend analysis to new domains.
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SKILL.md645 lines
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Skill details
Versionv1.0.0
AuthorMicrosoft
Categoryai-ml
Skill IDmicrosoft/ACESEvals/.github/skills/eval-analysis
Related skills
Eval MonitoringGuide for monitoring running SABER evaluations, checking progress, and managing eval batches. Use this when asked to monitor evals, check progress, produce a status report, or manage concurrent eval runs. Also covers Docker health and resource management.Inspect Eval DebuggingGuide for debugging inspect_ai evaluation failures, score issues, and model behavior. Use this when eval results are unexpected, scores are wrong, scoring fails, or model output appears corrupted.Inspect Eval ExecutionGuide for running SABER inspect_ai evaluations locally. Use this when asked to run, re-run, or configure an inspect eval for any SABER domain.Inspect Eval Log AnalysisGuide for parsing and analyzing inspect_ai .eval log files. Use this when asked to interpret eval results, extract tool calls, find scores, or investigate agent behavior from .eval logs.Agent Host Chat ContributionsBuild and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.Build Champ TriageFind out why a build has failed