Conciseness

The step content and API specs are lean and explain nothing Claude already knows, but there is padded bookending ("What you'll build" / "What You've Built" restating outcomes) and generic filler in "Tips and Best Practices" ("Rotate credentials regularly", "Off-peak hours: Schedule scans during low-traffic periods") that could be trimmed. This fits the 3 anchor (mostly efficient but could be tightened) rather than 2, since the core instructional content is efficient and free of concept explanations.

Actionability

Each step includes a complete, executable API call spec (api, operationId, input mappings with sources, output paths) plus copy-paste-ready request body examples (e.g., the Bedrock authParameters and scanner configuration JSON) and concrete error codes (401, 400, 424) with remedies. This matches the 5 anchor: fully executable guidance with specific examples covering the common cases.

Workflow Clarity

The three steps are clearly sequenced, Step 2 is an explicit validation checkpoint ("You confirm whether the credentials are valid before creating the scanner configuration"), each step has a "Common issues" feedback loop backed by a full Troubleshooting section, and a Completion Checklist closes the process. This matches the 5 anchor's explicit validation, error-recovery loops, and checklist; no destructive/batch cap applies since configuration creation is non-destructive.

Progressive Disclosure

No bundle files (references/, scripts/, assets/) exist, and the single body is well organized with clear sections and a "Related Jobs" pointer. However, at roughly 230 lines, secondary material (Troubleshooting, Tips and Best Practices) is inlined where it could live in a one-level-deep reference file, so it fits the 4 anchor (good structure, minor organization gaps) rather than 5.

Specificity

The description lists multiple concrete actions — "Creates a scanner configuration", "discover services (such as AI agents, MCP servers, and API metadata)", "importing discovered services into Anypoint Exchange" — with named platforms (AWS Bedrock, Microsoft Copilot, Google Vertex AI), giving comprehensive coverage of the skill's capabilities. It fits the 5 anchor rather than 4 because there are no minor gaps: what is created, what is discovered, from where, and where results land are all stated.

Completeness

It explicitly answers both questions: the "what" ("Creates a scanner configuration to discover services... from external platforms") and the "when" via an explicit "Use when..." clause with concrete trigger phrases. This matches the 5 anchor exactly; it is not 4 because the "when" is already explicit and specific.

Trigger Term Quality

Four natural trigger phrases ("setting up scanner discovery", "configuring a new scanner", "connecting to cloud AI platforms", "importing discovered services into Anypoint Exchange") plus platform names give good keyword coverage. It falls short of the 5 anchor because a few natural terms and synonyms are missing (e.g., "discover services", "add a scanner", "MCP servers" as a trigger phrase).

Distinctiveness Conflict Risk

The Anypoint scanner-configuration niche with named cloud AI platforms is mostly distinct with clear triggers. Minor overlap risk remains with closely related skills — e.g., the sibling run-scan skill could also plausibly trigger on "importing discovered services into Anypoint Exchange" — keeping it below the 5 anchor's "minimal conflict risk".