openai-image-gen

Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.

Quality

63%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./openclaw/skills/openai-image-gen/SKILL.md

Quality

Discovery

40%

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 specific technical capability (batch image generation via OpenAI API with gallery output) but suffers from missing trigger guidance. While distinctive enough to avoid conflicts, it lacks natural user keywords and doesn't tell Claude when to select this skill over others.

Suggestions

Add a 'Use when...' clause with explicit triggers like 'Use when the user wants to generate multiple AI images, create image batches, or build an image gallery using DALL-E/OpenAI'

Include natural keyword variations users might say: 'DALL-E', 'AI images', 'generate pictures', 'bulk image creation', 'image batch'

Dimension	Reasoning	Score
Specificity	Names the domain (OpenAI Images API) and mentions specific outputs (random prompt sampler, index.html gallery), but doesn't comprehensively list all actions like configuring parameters, saving images, or customizing prompts.	2 / 3
Completeness	Describes what it does (batch-generate images with gallery output) but completely lacks a 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill.	1 / 3
Trigger Term Quality	Includes some relevant terms like 'batch-generate images', 'OpenAI Images API', and 'gallery', but misses common variations users might say like 'DALL-E', 'AI images', 'image generation', 'bulk images', or 'create pictures'.	2 / 3
Distinctiveness Conflict Risk	The combination of 'OpenAI Images API', 'batch-generate', and 'index.html gallery' creates a clear, specific niche that is unlikely to conflict with other skills.	3 / 3
	Total	8 / 12 Passed

Implementation

87%

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

This is a well-crafted skill that efficiently documents an image generation tool with excellent concrete examples and clear parameter documentation. The content is appropriately concise and highly actionable. Minor weakness is the lack of error handling guidance for a process that explicitly mentions timeout issues.

Suggestions

Add brief error handling guidance for common failure scenarios (API errors, timeouts, rate limits) with recovery steps

Dimension	Reasoning	Score
Conciseness	Content is lean and efficient, providing only necessary information about flags, model parameters, and outputs without explaining what image generation is or how APIs work.	3 / 3
Actionability	Provides fully executable bash commands with multiple concrete examples covering different models and parameter combinations; copy-paste ready with clear flag documentation.	3 / 3
Workflow Clarity	Simple single-step workflow (run script, open gallery) is clear, but lacks validation/error handling guidance for a process that can timeout or fail, and no feedback loop for handling generation failures.	2 / 3
Progressive Disclosure	Well-organized with clear sections (Run, Model-Specific Parameters, Output); appropriate length for a single-file skill with no need for external references; easy to scan and navigate.	3 / 3
	Total	11 / 12 Passed

Validation

72%

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 — 8 / 11 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

	Total	8 / 11 Passed

Repository: trpc-group/trpc-agent-go
Commit: 50ef2f3

Reviewed: 5 days ago

Table of Contents

Discovery Implementation Validation

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