Use when learning Rust concepts. Keywords: mental model, how to think about ownership, understanding borrow checker, visualizing memory layout, analogy, misconception, explaining ownership, why does Rust, help me understand, confused about, learning Rust, explain like I'm, ELI5, intuition for, coming from Java, coming from Python, 心智模型, 如何理解所有权, 学习 Rust, Rust 入门, 为什么 Rust
43
43%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/m14-mental-model/SKILL.mdQuality
Discovery
37%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description is essentially a keyword list with no explanation of what the skill actually does. While the trigger terms are impressively comprehensive and natural, the complete absence of concrete capability descriptions (the 'what') is a critical weakness. The description needs to state specific actions like 'Explains Rust concepts using analogies and mental models, visualizes memory layouts, and addresses common misconceptions.'
Suggestions
Add explicit capability statements describing what the skill does, e.g., 'Explains Rust ownership, borrowing, and lifetimes using analogies and mental models. Visualizes memory layouts and addresses common misconceptions for developers coming from other languages.'
Restructure to separate the 'what it does' from the 'when to use it' — start with concrete actions, then follow with 'Use when...' and the keyword triggers.
Use third-person active voice for capabilities (e.g., 'Teaches', 'Explains', 'Provides analogies') rather than relying solely on a keyword dump.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description lacks any concrete actions. It says 'Use when learning Rust concepts' but never describes what the skill actually does — no verbs like 'explains', 'visualizes', 'teaches', or 'provides analogies'. The keywords list hints at capabilities but doesn't explicitly state them. | 1 / 3 |
Completeness | The 'when' is present ('Use when learning Rust concepts') but the 'what' is entirely missing — there is no description of what the skill actually does. Per the rubric, missing 'what OR when' warrants a score of 1. | 1 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms users would actually say: 'confused about', 'help me understand', 'explain like I'm', 'ELI5', 'coming from Java', 'coming from Python', 'why does Rust', plus multilingual terms in Chinese. These are highly natural and varied. | 3 / 3 |
Distinctiveness Conflict Risk | The keywords around mental models, ownership, borrow checker, and memory layout create some distinctiveness within the Rust ecosystem, but without stating what the skill does (e.g., teaching vs. code generation vs. debugging), it could overlap with other Rust-related skills. | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a well-structured collection of mental models and analogies for Rust concepts using efficient table formats and helpful ASCII visualizations. Its main weaknesses are the lack of executable code examples to ground the mental models in practice, references to bundle files that don't exist, and some sections (Trace Up/Down, Deprecated Thinking) that add bulk without proportional value. It serves as a decent conceptual reference but would benefit from concrete code snippets and trimming.
Suggestions
Add 2-3 short, executable Rust code snippets demonstrating key mental models (e.g., a move example showing E0382, a borrow conflict showing E0502) to improve actionability.
Remove or consolidate the 'Trace Up/Trace Down' sections since the referenced files (m01-m07) don't exist in the bundle, or provide the actual bundle files.
Trim the 'Deprecated Thinking' table — entries like 'Fight the borrow checker → Work with the compiler' are obvious advice that doesn't add value for Claude.
Consider moving the ASCII visualizations to a separate reference file and keeping only the tables in the main SKILL.md to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient with good use of tables, but includes some unnecessary sections like 'Trace Up/Trace Down' navigation that adds bulk without clear value, and the 'Deprecated Thinking' section states fairly obvious points. The ASCII visualizations are useful but could be tighter. | 2 / 3 |
Actionability | The skill provides mental models and analogies in structured tables, which is useful conceptual guidance, but lacks concrete executable code examples. The 'Thinking Prompt' section gives a reasoning framework but no actual Rust code demonstrating the concepts. For a mental-model skill this is partially justified, but even one concrete code snippet showing a move vs borrow would significantly improve actionability. | 2 / 3 |
Workflow Clarity | The 'Thinking Prompt' section provides a reasonable 3-step diagnostic workflow for when users are confused, but it lacks concrete validation steps or feedback loops. The learning path table provides sequencing but is vague on how to progress between stages. | 2 / 3 |
Progressive Disclosure | References to related skills (m01-ownership, m02-resource, etc.) are present and clearly signaled in tables, but no bundle files exist to support them. The content is somewhat monolithic with multiple visualization sections inline that could be separated. The 'Trace Up/Trace Down' navigation pattern is a good idea but references files that don't exist in the bundle. | 2 / 3 |
Total | 8 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
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Table of Contents
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