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generate-image

Generate or edit images with AI models through the OpenRouter Image API (Gemini, FLUX, Seedream, Recraft, GPT-Image). Use for photos, illustrations, artwork, concept art, visual assets, logos, and image editing or compositing from reference images. For flowcharts, circuits, pathways, and other technical diagrams, use the scientific-schematics skill instead.

74

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

86%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 an efficient, highly actionable reference: executable commands, model-specific parameter support tables, and a direct API-shape section, with detail correctly offloaded to a real models.md reference. Only minor conciseness trims and a batch-output verification note would raise it further.

Suggestions

Trim explanatory asides like "This is the main thing to get right." to keep the body lean.

Add a brief verification note for --n batch output (e.g. confirm all variations_N.png files were written) to close the workflow validation gap.

Consider moving the inline curl/API-shape section behind a one-line pointer to keep the overview focused on the bundled script.

DimensionReasoningScore

Conciseness

Lean and focused on model-specific parameter gotchas Claude would not already know, with minor prose such as "This is the main thing to get right" that could be trimmed; not a 5 due to a few explanatory asides.

4 / 5

Actionability

Fully executable copy-paste-ready commands throughout — quick start, worked examples across models, a curl snippet, and a complete flag table covering the common cases.

5 / 5

Workflow Clarity

Clear single-action sequence (pick model, pass only supported params, handle HTTP 400 with recovery pointer to --list-models), but the --n batch option lacks an explicit output-verification checkpoint, leaving a minor validation gap.

4 / 5

Progressive Disclosure

Overview body is well-structured and clearly signals one-level-deep references to real files — references/models.md for the full catalogue and scripts/generate_image.py for the implementation — with no nested reference chains.

5 / 5

Total

18

/

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 concise, concrete, and complete: it states the capability, names the models, gives natural trigger terms, and draws a clear boundary against a sibling skill. Third-person imperative voice is used throughout with no fluff.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Generate or edit images", "image editing or compositing from reference images" — and enumerates the specific model families reached, giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers both what (generate/edit images via the OpenRouter Image API, naming models) and when ("Use for photos, illustrations..."), with concrete trigger phrases.

5 / 5

Trigger Term Quality

"photos, illustrations, artwork, concept art, visual assets, logos, and image editing or compositing" gives comprehensive natural-term coverage with synonyms a user would actually say.

5 / 5

Distinctiveness Conflict Risk

Clear image-generation niche with explicit de-confliction — "For flowcharts, circuits, pathways... use the scientific-schematics skill instead" — minimizing overlap risk.

5 / 5

Total

20

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_field

'metadata' should map string keys to string values

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

14

/

16

Passed

Repository
K-Dense-AI/claude-scientific-writer
Reviewed

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