Conciseness

Lean, imperative prose with no explanation of concepts Claude already knows; every line carries Deepline-specific policy (e.g., "The CLI returns a `run_overview`: datasets are at `.datasets` and raw diagnostics (including billing) at `.diagnostics`… do not apply those paths to CLI JSON"). Not 4 because there is no over-explanation to trim — the vocabulary definitions and routing tables all earn their tokens.

Actionability

Mostly copy-paste ready commands: a full executable `jq -e` dataset-extraction pipeline, a complete `jq -n` export-input construction with env guards, and concrete tool invocations. Not 5 because of minor gaps — the values/comments commands reference "$TAB_NAME" which is never defined (only TAB_LABEL is set), and how RUN_ID is obtained is not shown; not 3 because the guidance is fully executable beyond these small defects.

Workflow Clarity

Clear loop ("revision → run → assess → decide → next revision") with explicit validation steps (pilot on one or two rows before scaling, `jq -e` erroring on malformed datasets, "stop and retrieve valid run evidence"), feedback loops for error recovery (per-error-code routing with retry-same-operation-key policy), and checklists (budget items, checkpoint fields, plateau rule). Not 4 because checkpoints, recovery, and stopping rules are all explicit rather than implicit.

Progressive Disclosure

Good structure: well-organized sections, a routing table, and a real one-level-deep script reference (scripts/review-sheet-presentation.mjs, verified present and clearly signaled via "$SKILL_DIR/scripts/review-sheet-presentation.mjs"). Not 5 because ~250 lines of dense policy — evaluation methodology, golden-dataset column schema, feedback taxonomy, error routing — are all inlined in SKILL.md when some could split into one-level-deep reference files; not 3 because what is present is well-signaled and navigable.

Specificity

Names the domain and several concrete actions ("review a Deepline Play result and hand feedback, labels, or approval back to the agent for revision, evaluation, comparison, or bounded iteration"), but these are purposes rather than mechanical operations — exporting to a Sheet, reading comments, and running revisions are only implied via trigger phrases, leaving minor coverage gaps. Not 5 because the 5 anchor expects comprehensive concrete action coverage; not 3 because more than 1-2 actions are explicitly listed.

Completeness

Explicitly answers both what ("review a Deepline Play result and hand feedback, labels, or approval back to the agent") and when ("Use this skill when a human needs to review…" plus "Triggers on…" quotes plus Skip guidance), directly matching the 5 anchor's structure. Not 4 because the when-clause is fully explicit with concrete trigger phrases, not merely present.

Trigger Term Quality

Eight quoted natural phrases users would actually say — "put this run in a Sheet," "review these results," "read my feedback," "make this a standing rule," "never regress on this case," "compare these runs," "keep improving," "add the revised run to the same spreadsheet" — comprehensive synonym coverage within the niche. Not 4 because no common variation of the review-loop request is obviously missing.

Distinctiveness Conflict Risk

Clear niche (Deepline Play human-review loop) with distinct triggers and explicit de-scoping of adjacent skills ("Skip ordinary Play authoring or execution with no human review loop, generic spreadsheet work, and one-off CSV export"), so it is unlikely to fire for the wrong skill. Not 4 because the skip guidance actively separates it even from its sibling authoring/execution skill.