baoyu-image-gen

AI image generation with OpenAI GPT Image 2.5, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.

Quality

86%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

80%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 well-structured, highly actionable skill body with excellent progressive disclosure and concrete examples. Its weakest area is workflow clarity for batch generation, which lacks an explicit verify→fix→retry checkpoint, and some redundancy inflates length.

Suggestions

Add an explicit output-verification checkpoint for batch runs (e.g., confirm each output image file exists and is non-empty before counting it as a success) so the batch flow has a clear validate→fix→retry loop and can score above the batch cap.

De-duplicate the identity-preservation guidance, which appears in both 'Identity-preserving reference prompts' and 'Reference-Image Identity Preservation' — consolidate into one section to tighten the body.

Add a short numbered end-to-end workflow (Step 0 prefs → provider/model resolution → generate → verify output) so the sequence and checkpoints are explicit in one place rather than implied across sections.

Dimension	Reasoning	Score
Conciseness	Mostly efficient tables and concrete commands with no beginner-concept padding, but the identity-preservation guidance is duplicated across two sections and the env-var table is lengthy — minor trimming available.	4 / 5
Actionability	Fully executable, copy-paste-ready CLI examples cover the common cases (basic, aspect ratio, prompt files, reference image, specific provider, batch), backed by complete options and env-var tables.	5 / 5
Workflow Clarity	A clear sequence exists (blocking Step 0 prefs → provider/model resolution → generate) with retry-based error handling, but batch operations lack an explicit output-verification checkpoint; per the batch cap this stays at 3.	3 / 5
Progressive Disclosure	SKILL.md is a clear overview with well-signaled, one-level-deep references (providers/.md, config/.md, usage-examples.md) all confirmed to exist, and detailed material is appropriately split into those files.	5 / 5
	Total	17 / 20 Passed

Description

92%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, third-person description that covers a concrete capability surface and an explicit 'Use when' trigger. It is comprehensive on what/when and highly distinct, with only minor room to broaden trigger synonyms.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete capabilities — 'Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files' — alongside a specific multi-provider surface, giving comprehensive coverage of concrete actions.	5 / 5
Completeness	Explicitly answers both what ('AI image generation with [providers]... Supports text-to-image, reference images...') and when ('Use when user asks to generate, create, or draw images') with concrete trigger phrases.	5 / 5
Trigger Term Quality	'Use when user asks to generate, create, or draw images' gives good natural trigger coverage, but a few common synonyms ('make', 'render', 'illustration', 'picture') are missing.	4 / 5
Distinctiveness Conflict Risk	A clear image-generation niche with provider-specific triggers; the 'generate, create, or draw images' trigger is unlikely to fire for unrelated skills.	5 / 5
	Total	19 / 20 Passed

Validation

75%

Warnings & errors only

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

Validation — 12 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
referenced_paths_exist	Referenced path issues: 20 deeper-than-1-level	Warning

	Total	12 / 16 Passed

Repository: JimLiu/baoyu-skills
Path: skills/baoyu-image-gen/SKILL.md
Commit: 1567581

Reviewed: 13 days ago

Table of Contents

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