Conciseness

The body is dense reference material in tables and ASCII diagrams with no padding and no explanation of concepts Claude already knows; every section earns its place, matching the lean anchor-5 example.

Actionability

Concrete actionable guidance is present (a 3-step 'Thinking Prompt' diagnostic, error-code-to-model misconception table, and Trace Up/Down navigation), but it is diagnostic/reference framing rather than copy-paste executable steps, fitting anchor 4 with minor gaps.

Workflow Clarity

The 'Thinking Prompt' gives a clearly sequenced diagnostic flow (ownership model -> guarantee -> compiler message) with implicit checkpoints, and there are no destructive/batch operations triggering the cap-3 rule; it fits anchor 4 (clear sequence, most checkpoints present).

Progressive Disclosure

Well-organized with clear section headers and a 'Related Skills' navigation table pointing one level deep to sibling skills (m01, m02, m07, m15); no bundle files exist, and structure is clean with minor organization gaps, fitting anchor 4.

Specificity

The description names the domain ('learning Rust concepts') but does not enumerate concrete capabilities, relying on a keyword list rather than explicit actions; it sits between anchor 2 (minimal actions) and 3 (domain plus 1-2 concrete actions).

Completeness

It has an explicit 'Use when learning Rust concepts' trigger (clear 'when') and an implied 'what' (mental models for Rust), but the 'what' is thinner than the anchor-5 example which pairs concrete actions with triggers; it fits anchor 4.

Trigger Term Quality

Comprehensive coverage of natural phrases users would say ('help me understand', 'confused about', 'ELI5', 'explain like I'm'), technical terms, language-transfer phrases, and Chinese equivalents, matching the anchor-5 example of synonyms and broad coverage.

Distinctiveness Conflict Risk

A clear niche (Rust mental models and learning) with distinct, specific triggers including multilingual variants, giving minimal overlap risk with other skills.