Conciseness

Dense, expert-level contract detail throughout ('never argv, never sudo', 'loopback-only publish', '-e NAME bare (argv is world-readable)') with no padding about concepts Claude already knows. Not 5: the Enablement and Failures sections pack many edge cases into single run-on paragraphs that could be tightened.

Actionability

The register() call and the bash start script are copy-paste ready with fully concrete guards (port-mismatch check, docker port retry, chown fallback); placeholders like '<image from the runbook>' are explicitly justified because the runbook skill supplies those values. Covers the common local and remote cases.

Workflow Clarity

A clear progression (enable once per machine → compose script → register → daemon-managed lifecycle) with embedded validation checkpoints (readiness route, port guards, runtime-binding retry) and a Failures section with explicit recovery loops (re-register to clear FAILED, stuck-port recovery). Not 5: steps are organized topically rather than as one explicit sequence, and script composition is documented after the register section that consumes it.

Progressive Disclosure

Well-organized sections with clear headers, and external skill pointers (the model's runbook skill, 'using-model-endpoint') are clearly signaled and one level deep. Not 5: the ~45-line start-script template is long inline material that could live in a reference file, and no bundle files are used to split the contract detail.

Specificity

Lists several concrete actions — 'Read the runbook, allocate a port (local only), compose idempotent start/stop scripts (local only), register once' — plus both service modes. Falls short of 5 only because the remote-API leg is named ('a remote upstream model API (https)') without its own concrete actions.

Completeness

Explicitly answers both: what ('Register a model service... Read the runbook, allocate a port... compose idempotent start/stop scripts... register once') and when ('Load when the user wants a model service available for inference, or when list_compute shows managed endpoints') with concrete trigger phrases. Clearly above the 4 anchor, where the 'when' is only generally stated.

Trigger Term Quality

Natural platform phrases like 'wants a model service available for inference' and 'list_compute shows managed endpoints' give good keyword coverage. Not 5: common synonyms such as 'model server', 'model API', or 'deploy a model' are absent.

Distinctiveness Conflict Risk

'Managed family', 'model service', and 'list_compute' carve a distinct registration niche with minimal conflict risk. Not 5: it sits adjacent to a calling-side skill ('using-model-endpoint') whose territory overlaps inference-side triggers.