Conciseness

The body is efficient and assumes competence: install commands, a CI contract, numbered mode workflows, and an output schema with no filler or explanations of concepts Claude already knows. It is not anchor 5 because the run-mode verification-method descriptions (grep-check, command-check, file-check, rule-check) duplicate what is already detailed in references/workflow-example.md and could be trimmed to a pointer.

Actionability

Mostly executable guidance: 'gh skill install pskoett/pskoett-skills eval-creator-ci', 'Validate: gh aw compile (add --actionlint --zizmor for security scan)', a concrete trigger YAML block, and a complete output schema. It falls short of anchor 5 because of small gaps, e.g., instructing users to copy the workflow into '.github/workflows/eval-creator-ci.md' where GitHub requires a .yml/.yaml extension.

Workflow Clarity

Both modes are given as ordered numbered sequences with checkpoints: precondition checks that mark cases 'skip', per-case pass/fail/skip recording, an explicit 'gh aw compile' validation step in the authoring workflow, and gate-policy decision logic in the workflow reference. It is not anchor 5 because no explicit fix-and-retry feedback loop is described when validation or a gate check fails.

Progressive Disclosure

Good structure overall: the body is a well-sectioned overview and correctly points to a real one-level-deep reference ('Copy references/workflow-example.md'), which exists and contains the full workflow templates. It is not anchor 5 because the 40-line output schema is inlined in SKILL.md rather than split out, and the body duplicates reference content (verification method definitions, trigger YAML) instead of deferring to it.

Specificity

Lists multiple concrete actions ('Runs all eval cases in .evals/ on a schedule or per-PR, reports pass/fail results, and can block merges on regressions. Also creates new eval cases from promoted patterns'), which matches the anchor-5 example. However, the rubric penalizes second-person phrasing, and the trigger clause 'Use when: you want automated regression testing' addresses the reader directly, reducing the score by 1.

Completeness

Explicitly answers both questions: the 'what' covers running, reporting, gating, and creating evals, and an explicit 'Use when: you want automated regression testing of promoted rules in CI/headless pipelines' clause states the 'when' with concrete trigger phrases. It also adds a hand-off clause ('For interactive eval creation and runs, use eval-creator'), which anchor 4's 'when could be more explicit' criticism does not apply to.

Trigger Term Quality

Good keyword coverage including 'eval regression', 'pass/fail', 'CI', 'headless pipelines', 'block merges', and 'gh-aw', matching the anchor-4 example ('PDF files, forms, document extraction'). It is not anchor 5 because common variations users would naturally say are missing (e.g., 'run the evals', 'eval suite', '.evals directory'), and it is clearly above anchor 3 since several natural domain terms are present.

Distinctiveness Conflict Risk

The CI/headless-only framing and the explicit disambiguation ('For interactive eval creation and runs, use eval-creator') establish a clear niche, but the skill sits in a family of closely related skills (eval-creator, learning-aggregator-ci) with overlapping vocabulary like 'creates new eval cases', matching anchor 4's 'minor overlap risk with closely related skills' rather than anchor 5's minimal conflict risk.