Conciseness

The body is lean and efficient: an intro line, a numbered list of exact paths and types, and a validation command, with no explanation of concepts Claude already knows, matching the score-3 anchor; it is not padded like the score-1 example.

Actionability

It gives concrete, executable guidance — exact file paths, enum names, a TryFrom<&str> impl, provider_models.yaml, and the copy-paste command 'cd crates && cargo test --lib' — matching the score-3 anchor for fully executable, copy-paste-ready instructions.

Workflow Clarity

A clear numbered sequence (1-6) is paired with an explicit validation checkpoint ('run cargo test --lib to verify everything compiles and tests pass'), exceeding the score-2 example which only says 'Test the output'; it is not a destructive/batch operation that would cap at 2, though a failure-retry loop is absent.

Progressive Disclosure

The skill is under 50 lines, single-purpose, and has no bundle files or external references; per the scoring notes it scores 3 with well-organized sections, which the numbered list and validation step provide.

Specificity

Names the domain ('hermesllm', 'LLM provider') and a single action ('Add a new LLM provider'), but does not list multiple specific concrete actions like the score-3 anchor; it is not vague/abstract like the score-1 anchor.

Completeness

It answers both what ('Add a new LLM provider to hermesllm') and when with an explicit 'Use when integrating a new AI provider.' trigger, satisfying the score-3 anchor; a missing 'Use when' clause would have capped it at 2.

Trigger Term Quality

Relevant terms ('new LLM provider', 'new AI provider', 'integrating') are present and natural, but coverage is limited and misses common variations a user might say (specific provider names, 'model provider'), matching the score-2 anchor.

Distinctiveness Conflict Risk

The named project 'hermesllm' gives a clear niche and the trigger is anchored to that project, making it unlikely to fire for unrelated skills, matching the score-3 anchor.