Conciseness

The body mostly adds non-obvious domain knowledge (metadata fields, promotion thresholds, gh-aw specifics) rather than explaining known concepts, but the 12 'Workflow Rules' substantially duplicate the 18 steps in references/workflow-example.md (e.g. 'Legacy unknown-lineage evidence counts as at most one distinct task' appears nearly verbatim in both), and the provenance-v1 cache paragraph repeats the reference's cache steps. This fits the 'mostly efficient but could be tightened' anchor rather than level 4, where over-explanation would be only minor.

Actionability

Provides copy-paste-ready commands ("gh skill install pskoett/pskoett-skills learning-aggregator-ci", "gh aw compile") and a complete, executable workflow template in references/workflow-example.md, plus a concrete promotion threshold (">= 3 deduplicated recurrences, seen in >= 2 distinct tasks... within a 30-day window") and a fully specified YAML output schema with worked examples, matching the 'fully executable' top anchor.

Workflow Clarity

The authoring workflow is clearly sequenced with an explicit validation checkpoint ("Validate: `gh aw compile` (optionally add `--actionlint --zizmor`)"), and the CI rules are ordered 1-12 with a determinism constraint; however there is no error-recovery feedback loop (nothing on what to do when compile fails or how to verify the posted comment), so it matches 'clear sequence with most checkpoints present' rather than the level-5 anchor requiring feedback loops.

Progressive Disclosure

The single bundle file references/workflow-example.md is real, one level deep, and clearly signaled ("Copy `references/workflow-example.md` into `.github/workflows/learning-aggregator-ci.md`"). However, the ~48-line Output Schema YAML and the trigger-configuration YAML are inlined in the body when they arguably belong in references, and the body/reference duplication shows content that should be split is inline, fitting 'good structure; minor organization gaps' rather than the cleanly split level-5 anchor.

Specificity

Lists four concrete actions ("Scans .learnings/ files on a schedule, groups entries by pattern_key, identifies promotion-ready patterns, and posts a gap report as a PR or issue comment"), which matches the level-5 anchor; however the second-person phrasing "Use when: you want automated cross-session pattern detection" incurs the rubric's third-person voice penalty, reducing this to 4.

Completeness

Clearly answers both what ("Scans .learnings/ files... groups entries by pattern_key... posts a gap report") and when ("Use when: you want automated cross-session pattern detection in CI/headless pipelines without interactive prompts") with a concrete trigger clause, matching the top anchor rather than the level-4 anchor where 'when' is only adequate.

Trigger Term Quality

Good keyword coverage including "CI", "headless pipelines", "on a schedule", "cross-session pattern detection", and "interactive prompts", but common variations users might naturally say such as "GitHub Actions", "cron", or "learning review" are missing, fitting the 'good coverage; a few natural terms missing' anchor rather than the comprehensive one.

Distinctiveness Conflict Risk

Clear niche ("CI-only learning aggregation workflow") with explicit disambiguation against the sibling skill ("For interactive use, use learning-aggregator"), giving minimal conflict risk and matching the 'clear niche with distinct triggers' anchor.