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mflux-model-porting

Port ML models into mflux/MLX with correctness-first validation, then refactor toward mflux style.

59

Quality

67%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./.cursor/skills/mflux-model-porting/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%Weight 40%Scale 1-3

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 porting workflow packed with mflux-specific specifics and validation checkpoints, held back only by monolithic inlining of large tables/layout that could be split into reference files.

Suggestions

Move the 'Integration surfaces checklist' tables and/or 'Package layout' into separate reference files (e.g. INTEGRATION.md, LAYOUT.md) and link to them from SKILL.md to improve progressive disclosure.

Tighten the longest tables to the rows most likely to be missed, pruning redundant detail to reduce token load.

Consider extracting the per-surface PR reference list into a reference doc so the main body stays a lean overview.

DimensionReasoningScore

Conciseness

The body is information-dense with mflux-specific knowledge Claude lacks (file paths, PR numbers, gotchas) and avoids generic concept explanations, but at ~190 lines with several long tables it is longer than strictly necessary and could be tightened.

2 / 3

Actionability

Gives concrete, executable guidance throughout — exact commands ('MFLUX_PRESERVE_TEST_OUTPUT=1 uv run', 'make lint', 'du -sh'), specific file paths, class names, and PR references — making the instruction actionable rather than abstract.

3 / 3

Workflow Clarity

A clearly sequenced 7-step workflow with explicit validation checkpoints ('deterministic validation', 're-run make lint / make test-fast', 'keep running the deterministic image test during refactors') and feedback loops for error recovery.

3 / 3

Progressive Disclosure

No bundle files exist and the entire ~190-line skill lives in one monolithic SKILL.md; sections are well organized, but the integration tables and package layout are inline content that arguably belongs in separate reference files.

2 / 3

Total

10

/

12

Passed

Description

57%Weight 40%Scale 1-3

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 focused, third-person description with a clear niche, but it omits an explicit 'Use when' trigger clause and lists only two high-level actions, so it lands at the middle band on specificity, trigger quality, and completeness.

Suggestions

Add an explicit trigger clause, e.g. 'Use when porting or translating an ML model from diffusers/PyTorch into mflux (MLX)'.

Name a few more concrete actions to lift specificity (e.g. 'export reference latents, map weights, validate parity, wire CLI').

Include common user phrasings ('convert', 'translate', 'MLX port') alongside 'Port' to broaden trigger coverage.

DimensionReasoningScore

Specificity

Names the domain (ML models, mflux/MLX) and two actions ('Port ... with correctness-first validation, then refactor'), but stops at two rather than listing multiple concrete actions.

2 / 3

Completeness

Answers 'what' clearly but has no 'Use when ...' clause or equivalent explicit trigger guidance, which caps completeness at 2 per the guidelines.

2 / 3

Trigger Term Quality

Includes relevant terms a user might say ('Port ML models', 'mflux/MLX', 'refactor') but leans technical and omits common phrasings like 'convert', 'translate', or 'MLX port'.

2 / 3

Distinctiveness Conflict Risk

The mflux/MLX niche is narrow and specific, making it unlikely to trigger for unrelated skills despite the missing explicit trigger.

3 / 3

Total

9

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
filipstrand/mflux
Reviewed

Table of Contents

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