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mflux-cli

Navigate MFLUX CLI capabilities, locate commands by area, and summarize supported features.

Quality

63%

Does it follow best practices?

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SecuritybySnyk

Passed

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

Quality

Content

61%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 a lean, well-organized capability map with genuinely useful drift-avoidance guidance (checking MODEL_INFERENCE_STEPS, updating README examples in the same pass). Its main weaknesses are the absence of any executable command example and a heuristic rather than sequential 'how to find' workflow, which leave the reader without a concrete path from request to action.

Suggestions

Add at least one concrete example CLI invocation (e.g. a representative generate command with the recommended default flags) so guidance is executable rather than purely structural.

Turn 'How to find commands' into a short ordered sequence (e.g. 1. identify the model variant, 2. check MODEL_INFERENCE_STEPS defaults, 3. locate the model's CLI package, 4. verify flags against the parser) so the navigation workflow is explicit.

Consider moving the detailed capability inventory into a references/ file and keeping a one-line summary per category in SKILL.md, bringing the body comfortably under the simple-skill threshold.

DimensionReasoningScore

Conciseness

The body is dense and assumes competence (one-line inventory entries like 'SeedVR2 diffusion upscaler (preferred)' and 'Export JSON metadata per image') with no explanation of known concepts; the only trim candidate is the opening paragraph, which restates the frontmatter description.

4 / 5

Actionability

Concrete specifics exist ('always check MODEL_INFERENCE_STEPS', '--low-ram', '--stepwise-image-output-dir', model names like 'z-image-turbo'), but the skill deliberately avoids paths and provides no executable commands or CLI invocation examples, matching anchor 3 (some concrete guidance but incomplete).

3 / 5

Workflow Clarity

'How to find commands (structure, not exact paths)' offers where-to-look heuristics (shared parser module, per-model CLI packages) rather than a sequenced process from user request to located command, and there are no validation checkpoints — anchor 3 (steps listed but checkpoints missing or implicit).

3 / 5

Progressive Disclosure

A single-file skill with no bundle files and clean, well-labeled sections (When to use, How to find commands, Best practices, Capability inventory); the body is ~85 lines, above the <50-line simple-skill exception, and the capability inventory is content that could arguably live in a reference file — anchor 4 (good structure, minor organization gaps).

4 / 5

Total

14

/

20

Passed

Description

46%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 identifies a clear niche (the MFLUX CLI) but is thin: it gives generic action verbs, no concrete capabilities, and no 'Use when...' trigger guidance. Most users asking for image generation help would not naturally phrase their request in these terms, so the skill may fail to trigger.

Suggestions

Add an explicit 'Use when...' clause with concrete triggers, e.g. 'Use when the user asks to generate, edit, or upscale images with MFLUX/Flux models, or asks which model or CLI flags to use.'

Name the domain's actual capabilities so users' natural vocabulary matches, e.g. 'text-to-image generation, image editing, upscaling, LoRA loading, and quantized model management'.

Include the model names users actually say (Flux, Flux2, Qwen, Z-Image) as trigger terms to improve keyword coverage.

DimensionReasoningScore

Specificity

The description names the domain ("MFLUX CLI") and lists a few actions ("locate commands by area", "summarize supported features"), but the verbs are generic and it never states this is an image-generation CLI or names any concrete capability (text-to-image, LoRA, upscaling), matching anchor 3 rather than 4.

3 / 5

Completeness

The 'what' is reasonably clear (navigate capabilities, locate commands, summarize features), but there is no 'Use when...' clause or any trigger guidance, which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

The only keywords are "MFLUX CLI", "commands", and "capabilities"; natural user phrases like "generate an image", "Flux", "text-to-image", "LoRA", or "upscale" are entirely absent, matching anchor 2 (one or two generic keywords, missing the natural phrases users say).

2 / 5

Distinctiveness Conflict Risk

Naming the specific MFLUX tool gives it a clear niche with minimal conflict risk, but the triggers rest solely on the tool name with no distinct trigger phrases, placing it between anchors 4 and 5 — noticeably above the midpoint but short of anchor 5's 'distinct triggers'.

4 / 5

Total

12

/

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

mflux-community/mflux

Path

.cursor/skills/mflux-cli/SKILL.md

Reviewed

Table of Contents

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