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matlab

Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

77

Quality

96%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is lean, executable, and well-structured with a validated 7-step workflow and clean one-level-deep references to real bundle files, with only minor conciseness trims possible.

DimensionReasoningScore

Conciseness

Dense, actionable sections with no padding about what MATLAB/Octave is; assumes Claude's competence, with only minor passages (e.g., the citing block) that could be trimmed, fitting the 'efficient; minor over-explanation' anchor.

4 / 5

Actionability

Fully executable: a complete arguments-block example, a table of named helper CLIs, and copy-paste bash invocations with specific flags cover the common cases.

5 / 5

Workflow Clarity

The 7-step default workflow is clearly sequenced with explicit validation/safety checkpoints (treat availability as unknown, static inventory before runtime loads, launch only after explicit approval) and feedback-loop language for batch/destructive operations.

5 / 5

Progressive Disclosure

SKILL.md is a clear overview with one-level-deep references, all eight reference files and three asset files verified to exist, a dedicated References section, and well-signaled per-section links, matching the clear-overview anchor.

5 / 5

Total

19

/

20

Passed

Description

100%Weight 40%Scale 1-5

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 specific and distinctive with concrete actions and a clear niche, but it omits an explicit 'Use when...' trigger clause, which caps completeness at 3.

Suggestions

Add an explicit 'Use when...' clause naming trigger phrases (e.g., 'Use when working with MATLAB or Octave, migrating releases, or planning trusted execution of .m/.mat workflows').

Include file extensions (e.g., '.m', '.mlx', '.mat') so the description matches natural user phrasing and improves trigger-term coverage.

DimensionReasoningScore

Specificity

Names multiple concrete actions ('Build, review, migrate, and safely plan') alongside a broad list of concrete domains ('arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability'), matching the comprehensive-coverage anchor.

5 / 5

Completeness

The 'what' is clear and concrete, but there is no explicit 'Use when...' trigger clause; per the rubric guideline a missing trigger clause caps completeness at 3.

3 / 5

Trigger Term Quality

Strong natural terms ('MATLAB', 'GNU Octave', 'numerical workflows', 'arrays', 'MAT files', 'Python interoperability') but lacks file extensions like '.m' or '.mat' and a few common synonyms, sitting just below comprehensive coverage.

4 / 5

Distinctiveness Conflict Risk

A clear niche (MATLAB/Octave numerical workflows) with distinct, domain-specific triggers and minimal overlap risk with unrelated skills.

5 / 5

Total

17

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
K-Dense-AI/scientific-agent-skills
Reviewed

Table of Contents

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