v0.7.0

0.7.0 - 2026-10-03

Added

• EvaluationSummary.metrics and EvaluationSummary.tags: every report
  now breaks its results down by metric (MetricSummary: checks passed,
  failed and skipped, pass rate, average score) and by case tag
  (TagSummary: case counts, pass rate, average score).
• Score.metric: a stable key that reports group by. It defaults to
  Score.name; the implicit checks whose names carry a per-case detail
  (contains:<text>, required_field:<path>, required_tool:<tool>,
  forbidden_tool:<tool>, tool_args:<tool>) share the metric named by
  their prefix. Score.name is unchanged.
• Score.skip(name, explanation) and Score.skipped: an evaluator can
  record that a check did not apply to a case. A skipped score never
  fails the case, is left out of average_score and pass rates, and is
  counted in MetricSummary.skipped. Eval() ignores a skipped Score
  returned by a scorer.
• CaseEvaluation.tags and CaseEvaluation.metadata, copied from the
  TestCase, so a report can be filtered or regrouped on its own.
• GateConfig.min_tag_pass_rate and GateConfig.min_metric_pass_rate:
  pass-rate floors for one tag or one metric, applied on top of
  min_pass_rate. A tag or metric named in the config but absent from
  the report fails the gate. Observed values are reported under
  tag_pass_rate:<tag> and metric_pass_rate:<metric>.
• TestCase.expected_tool_arguments: expected argument values per tool.
  Passes when one call to the tool carries every listed argument with an
  equal value (no type coercion). Scored as tool_arg_values:<tool>.
• TestCase.required_tool_order: tools whose first calls must come in
  the listed order. Scored as tool_order.
• make_rubric(name, criteria, levels=..., with_reference=...): builds a
  RubricTemplate from criteria written in plain language, with a
  pass/fail scale by default or a caller-supplied graded scale.

All of the above are additive: reports saved by earlier versions still
load, and schema_version stays 1.0.

Fixed

• evaluate_suite no longer raises ZeroDivisionError when no case
  produces a score (for example, every evaluator returned an empty list);
  average_score is reported as 0.0.