feat(scripts): Wilson CI + paired McNemar reporting - #231
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…results Add a stdlib-only script that reports aggregate pass rates with 95% Wilson score intervals and, with --compare, an exact paired McNemar test between two agents over their shared task set.
… format The tool prints aggregate pass rates plus an optional paired comparison, not per-task rates. Also clarify that the input is a per-instance JSON derived from runs, not native overall.json/db_out_new.jsonl artifacts.
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Summary
Adds
scripts/ci_report.py: a stdlib-only tool that reports aggregate pass rates with 95% Wilson score intervals and, with--compare, an exact paired McNemar test between two agents over their shared task set.Input is a per-instance results JSON (mapping
{task_id: bool}or a list of{"id", "success"}records), which can be produced from AgentBench run outputs.Motivation
On fixed item sets, strict leaderboard ranks overstate differences: every aggregate should carry an uncertainty measure, and the paired McNemar test answers whether a #1-vs-#k gap is real. This is the "measurement before ranking" tooling for AgentBench-style evaluations.
Testing
Smoke-tested locally against two small result files.