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generate-mdl

Generate a Wren MDL project by exploring a database with available tools (SQLAlchemy, database drivers, MCP connectors, or raw SQL). Guides agents through schema discovery, type normalization, and MDL YAML generation using the wren CLI. Use when: user wants to create or set up a new MDL, onboard a new data source, or scaffold a project from an existing database.

Quality

88%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

88%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.

A highly actionable, well-sequenced CLI workflow guide: every phase has executable commands, explicit goals, and a validate-fix-retry loop with a common-errors list. Conciseness and file organization are the only areas with minor room for improvement.

DimensionReasoningScore

Conciseness

The body is code-and-command driven with little concept explanation Claude already knows, but the Quick Reference table partially duplicates commands already shown in the phases — anchor 4's 'minor instances that could be trimmed'.

4 / 5

Actionability

Fully executable, copy-paste-ready guidance throughout: SQLAlchemy inspector code with expected outputs as comments, wren CLI commands, and a complete model YAML template covering the common cases — anchor 5.

5 / 5

Workflow Clarity

Phases 0–7 with explicit Goal statements and a validation feedback loop ('If validation fails, fix the reported issues and re-run' plus a common-errors list), plus user confirmation gates for destructive reset and inferred relationships — anchor 5.

5 / 5

Progressive Disclosure

Well-organized single-file skill with no bundle files to reference and a navigation table, but ~330 lines are fully inlined where model/relationship YAML detail could sit in reference files — anchor 4's 'minor organization gaps'.

4 / 5

Total

18

/

20

Passed

Description

83%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.

A strong description with an explicit 'Use when:' clause, concrete actions, and a well-defined niche. It is third-person, concise, and free of fluff. Minor gains are possible by mentioning validation/build in the capability list and sharpening trigger synonyms.

DimensionReasoningScore

Specificity

Lists several concrete actions ('schema discovery, type normalization, and MDL YAML generation using the wren CLI') with only a minor gap — validation/build steps are unmentioned — matching anchor 4 rather than 5's comprehensive coverage.

4 / 5

Completeness

Explicitly answers both what (multi-action generation workflow) and when ('Use when: user wants to create or set up a new MDL, onboard a new data source, or scaffold a project from an existing database') with concrete trigger phrases — anchor 5.

5 / 5

Trigger Term Quality

Good natural phrases users would say ('set up a new MDL', 'onboard a new data source', 'scaffold a project from an existing database'), but coverage lacks synonyms or variations beyond the core MDL vocabulary, fitting anchor 4.

4 / 5

Distinctiveness Conflict Risk

The Wren MDL niche is clear and mostly distinct, but 'scaffold a project from an existing database' could overlap with generic project-scaffolding skills, giving minor overlap risk per anchor 4.

4 / 5

Total

17

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository

Canner/WrenAI

Path

core/wren/src/wren/skills_content/generate-mdl/SKILL.md

Reviewed

Table of Contents

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