Conciseness

The body is dense operational knowledge with zero padding — no concept explanations Claude already has; instead it encodes non-obvious gotchas ("never pipe pytest through head/tail — SIGPIPE kills cleanup", "SSO storageState... expires ~daily", OBO scopes "must be CREATED... not patched later"). Every token carries repo-specific information; not score 4 because there is no over-explanation to trim, only inherent complexity.

Actionability

Fully executable guidance: complete pytest invocations with env vars and flags (DATABRICKS_CONFIG_PROFILE=dogfood uv run --no-sync pytest validate_templates.py -p no:xdist -v), the auth_setup.py command with a URL template, repeatable --val-template usage, and a concrete config snippet (`<name>: { verify: html, expect: "Todo List App" }`). The `...` shorthand only abbreviates an already-shown full command, so everything is copy-paste ready.

Workflow Clarity

Clear sequence (Prerequisites → Running → Interpreting results → Adding/fixing coverage) with explicit feedback loops: SSO failure ("app redirected to SSO login — storageState invalid/expired") → re-run auth_setup.py; 502 after ~240s → check build/runtime logs in the Apps UI; a checklist of expected non-pass buckets that are not template bugs. Not score 4 because validation checkpoints and error-recovery paths are explicit rather than minor-gap.

Progressive Disclosure

Well-organized sections with one clearly signaled, one-level-deep pointer ("See .scripts/agent-integration-tests/AGENTS.md for module-level detail") and appropriate pointers to validation-config.yaml / functional_config.py for edits. Not score 5 because the long inline verify-mode semantics and OBO creation detail are borderline reference material that could live in a separate file, keeping SKILL.md a leaner overview.

Specificity

"Deploy-validate and functionally exercise the app templates against a shared Databricks App" plus "regenerating the validation report" and "checking which templates deploy and serve" names several concrete actions in a specific domain, but the what-clause itself is condensed to two verbs with the rest of the action detail carried by the use-when list. Not score 5 because coverage of actions is split across the trigger list rather than comprehensively stated as capabilities; not 3 because far more than 1-2 concrete actions are named.

Completeness

Both what ("Deploy-validate and functionally exercise the app templates against a shared Databricks App") and when ("Use when: (1) reviewing a PR that changes templates, (2)... (3)... (4)...") are explicitly and concretely answered with a structured trigger list. Clearly matches the score-5 anchor; score 4 would under-credit the four explicit, concrete trigger phrases.

Trigger Term Quality

Natural phrases users would say are present — "reviewing a PR that changes templates", "checking which templates deploy and serve", "running the e2e/deploy-validation or functional-e2e suites", "regenerating the validation report". Missing some synonyms and concrete file/script names (e.g. validate_templates.py, validation-report.md, 'smoke test'), so it does not reach the comprehensive synonym/extension coverage of score 5.

Distinctiveness Conflict Risk

The niche (Databricks Apps template deploy/functional validation) is distinct and even carries a boundary statement ("Repo-dev tool — NOT synced into templates"), minimizing misuse. Minor overlap risk remains with generic test-running or PR-review phrasing (e.g. a user asking to 'run the e2e tests' or 'review this PR' in a broader context), so it sits just below score 5.