Conciseness

The body is code-first and dense, but minor padding could be trimmed: the 10 link-reference definitions at the top are restated in the References section, and framing sentences like "Non-determinism is the primary enemy of regression suites" add little — matching the 4 anchor (efficient with minor over-explanation) rather than the every-token-earns-its-place 5 anchor.

Actionability

Every step ships copy-paste-ready artifacts: a complete promptfooconfig YAML, executable GEval Python with pinned judge models, a full regression_diff.py script, CLI commands with flags, and a GitHub Actions workflow — matching the 5 anchor for fully executable guidance covering common cases.

Workflow Clarity

Six clearly sequenced steps include explicit validation checkpoints (baseline pass rate as the floor, ratio threshold with exit code 1, CI non-zero exit on failure), an error-recovery feedback loop via promptfoo's --filter-failing flag, and an anti-patterns table serving as a checklist — matching the 5 anchor.

Progressive Disclosure

No bundle files exist, and the single SKILL.md is well-sectioned with clearly signaled one-level-deep external references and a References index; however, roughly 370 lines are all inline — the full CI workflow YAML and the diff script are content that could live in bundle files, and scripts/regression_diff.py is referenced as a path without an accompanying file — matching the 4 anchor (good structure, minor organization gaps) rather than the 5 anchor.

Specificity

"Builds a versioned golden dataset, deterministic runs, exact, semantic, judge and rubric checks, and a pass-rate CI gate with a baseline diff" lists multiple concrete actions covering the whole workflow, matching the comprehensive-coverage anchor rather than the minor-gaps anchor at 4.

Completeness

An explicit "Use when..." clause gives two concrete trigger scenarios and the third-person "Builds a..." sentence states what the skill does, clearly and explicitly answering both what and when as in the 5 anchor.

Trigger Term Quality

Natural phrases like "upgrading an LLM model", "before/after quality gate", and "model versions" are present, but common variations such as "regression testing", "model migration", or "eval suite" are missing — notably "regression" itself never appears — so it falls short of the synonym-level coverage of the 5 anchor.

Distinctiveness Conflict Risk

The versioned-dataset/pass-rate-gate framing carves a clear niche, but "prompt quality must be tracked across model versions" overlaps with generic prompt-evaluation skills, matching the 4 anchor (mostly distinct, minor overlap with closely related skills) rather than the minimal-conflict 5 anchor.