Conciseness

The body is largely efficient with executable code blocks and minimal concept padding; it does explain a few integration specifics (e.g. the credential-lane rationale, shared-block note) that slightly exceed what is strictly necessary, fitting the 'efficient; minor trimmable over-explanation' anchor rather than a clean 5.

Actionability

Provides copy-paste-ready bash and TypeScript snippets for every step (cp commands, the exact mcpServers entry, the env spread, the stderr branch, .env.example additions, validation commands), covering the common cases concretely and completely.

Workflow Clarity

Four clearly sequenced phases (Pre-flight, Apply, Configure, Verify) with explicit validation checkpoints ('All must be clean before proceeding', wiring/registration tests) and a Troubleshooting section providing feedback loops for error recovery.

Progressive Disclosure

Well-organized into clear sections/phases with appropriate use of inline code and an opt-in advanced branch (management tools); however there are no separate reference files and some larger code blocks (registration/env wiring) are inlined where the rubric would reward cleaner splitting, leaving it just below the score-5 anchor.

Specificity

Names the domain (Ollama MCP server, local models, model library) and concrete actions ('call local models', 'optionally manage the Ollama model library'), but stops short of listing multiple distinct operations like list/generate/pull/delete; minor coverage gaps versus the score-5 anchor.

Completeness

The 'what' is clearly stated (adds an MCP server exposing local Ollama models and optional library management), but there is no explicit 'Use when...' clause or equivalent trigger guidance for when Claude should invoke it, which caps completeness at 3 per the rubric.

Trigger Term Quality

Includes relevant terms like 'Ollama', 'local models', 'MCP server', and 'model library', but omits common natural variations a user might say (e.g. 'offline models', 'self-hosted LLM', 'ollama tools') and any file-extension-like trigger, so keyword coverage is partial.

Distinctiveness Conflict Risk

The Ollama/local-models niche is fairly specific and unlikely to collide with unrelated skills, with only minor overlap risk against other local-model tool skills, fitting the 'mostly distinct' anchor.