baoyu-image-gen

AI image generation with OpenAI GPT Image 2, 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

—

Does it follow best practices?

Impact

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No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable with executable examples, clear sequenced workflows, and well-organized one-level-deep references. Its main weakness is verbosity in a few prose sections that could be condensed or delegated to reference files.

Suggestions

Move the Codex/ChatGPT OAuth explanation and OpenAI-compatible gateway dialect prose into their existing reference files, leaving a one-line pointer in the body to improve conciseness.

Trim the Provider Selection and Model Resolution lists to their decision rules; relocate the per-provider rationale (e.g., MiniMax subject-reference specialization) to the relevant provider reference.

Consolidate the two reference-image identity-preservation sections (Usage and Reference-Image Identity Preservation) into one to remove duplicated guidance.

Dimension	Reasoning	Score
Conciseness	The body is information-dense and assumes Claude's competence (no basic-concept explanations), but at ~280 lines it includes some elaboration (Codex OAuth rationale, gateway-dialect prose) that could be tightened and pushed into references.	2 / 3
Actionability	Provides fully executable bash commands, complete CLI options and environment-variable tables, and concrete provider/model examples that are copy-paste ready.	3 / 3
Workflow Clarity	Clear numbered sequences (Step 0 blocking, Provider Selection 1–5, Model Resolution 1–4) with explicit validation checkpoints ('MUST complete before any image generation', 'generation is blocked until EXTEND.md exists') and batch feedback loops (success/failure counts, per-image failure reasons, retries).	3 / 3
Progressive Disclosure	SKILL.md serves as an overview with a References table mapping each one-level-deep file to its content; provider guides and config are cleanly split, and all referenced paths (references/providers/.md, references/config/.md, scripts/*) exist on disk.	3 / 3
	Total	11 / 12 Passed

Description

100%

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 specific, well-triggered, and complete, naming concrete actions and providers alongside an explicit 'Use when' clause. It is a strong, low-conflict skill description.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete capabilities ('text-to-image, reference images, aspect ratios, and batch generation') and names eleven specific provider APIs, matching the multiple-specific-actions anchor.	3 / 3
Completeness	Explicitly answers both 'what' (AI image generation with listed capabilities) and 'when' via a 'Use when user asks to generate, create, or draw images' trigger clause.	3 / 3
Trigger Term Quality	Includes natural user phrasing ('generate, create, or draw images') plus 'images', 'batch', and 'reference images', giving good coverage of terms users would actually say.	3 / 3
Distinctiveness Conflict Risk	Targets a clear niche (multi-provider AI image generation) with provider-specific triggers, making it unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 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
Commit: c9a50cc

Reviewed: 3 days ago

Table of Contents

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