Conciseness

The body is dense and platform-specific rather than teaching generic concepts, but at ~680 lines it includes tighten-able material: the inline changelog aside 'The skill previously recommended CodeZip over Container when possible. That's an oversimplification', and multi-paragraph prose in the cold-start and session-lifecycle sections. It fits 'mostly efficient but includes some unnecessary explanation or could be tightened' — above level 2 (no padding or generic library intros) but below level 4 (more than minor instances of over-explanation).

Actionability

Fully executable throughout: copy-paste bash ('agentcore status --json | jq -r ".runtimes[0].executionRoleArn"', the EventBridge put-rule command), complete JSON IAM/trust policies, runnable Python (credential decorators, async-task registration, deferred client init), and a hit-to-action decision table for outbound HTTP calls. Specific examples cover the common production cases, matching the level-5 anchor.

Workflow Clarity

The process is explicitly sequenced (verify CLI version → read agentcore/agentcore.json → work through each checklist category), with verification commands per category, ordered diagnostic feedback loops (the 5-step JWT 403 walkthrough 'Walk through these in order', the 4-step maxVms remediation ending 'Only then ... request an increase'), and a final production checklist — matching the level-5 anchor of explicit validation, feedback loops, and checklists.

Progressive Disclosure

references/limits.md (291 lines) is properly offloaded, linked three times with a clear summary of what it covers, and sibling-skill pointers are named and one level deep. However, the body inlines reference-sized sections (cold start ~70 lines, session lifecycle ~85 lines) that could be split out, keeping it at 'good structure; minor organization gaps' rather than the level-5 'content appropriately split'.

Specificity

Lists eight concrete capability areas — 'IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle, rate limiting, input validation, and quota guidance' — with specific technology names, comprehensively covering the production-hardening domain. It exceeds level 4 (which allows minor coverage gaps) and is far beyond naming 1-2 actions.

Completeness

Explicitly answers both what (the concrete capability list) and when ('Use when preparing your agent for production' plus 'Triggers on:' with concrete phrases). This matches the level-5 anchor exactly; level 4 would require the 'when' to be less explicit, which it is not.

Trigger Term Quality

Comprehensive natural trigger phrases including synonyms ('production checklist', 'production ready', 'going live', 'harden agent') and concrete API identifiers ('StopRuntimeSession', 'maxVms', 'throttling', 'rate limit'). Coverage includes the variations users would naturally say, meeting the level-5 anchor rather than the 'a few natural terms missing' level 4.

Distinctiveness Conflict Risk

Four explicit negative boundaries ('Not for Cedar tool-restriction policies — use agents-connect', 'Not for quality measurement — use agents-optimize', 'Not for A2A agent-to-agent auth — use agents-build', 'Cold start observation and diagnosis ... routes to agents-debug') give it a clear niche with minimal conflict risk, exceeding the 'minor overlap risk' of level 4.