v0.3.0

0.3.0 - 2026-09-13

Added

• agentic_evals.skills: methodology playbooks (SKILL.md cards --
  Trigger/Do/Avoid/Check/Risk, matching the format Braintrust's
  eval-library/skills uses), scoped to this package's own API:
  write-a-scorer, define-a-release-gate, size-a-test-suite,
  instrument-a-trace. These are guidance documents, not runnable code --
  consumable by a human or by a coding agent's own skill mechanism.
• agentic_evals.packs: runnable eval-config bundles -- a TestSuite
  paired with the scorer names it needs, loaded from a single YAML/JSON
  file. load_pack()/load_builtin_pack() validate that every
  required_scorers entry resolves in the registry before returning.
  Ships 3 built-in packs: tool-use-correctness, factual-qa,
  json-output-contract.

Fixed

• LLMRubricEvaluator now reads its reference material (the expert
  answer for FACTUALITY, candidate B for BATTLE) from
  EvaluatorConfig.config["reference"] instead of case.expected_output.
  Reusing expected_output collided with evaluate_suite's hardcoded
  exact-match check, which fires whenever that field is set -- silently
  forcing every rubric-graded case to also require a literal string match.