openai-image-gen

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

Quality

60%

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

32%

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 provides a reasonable overview of capabilities but suffers from missing explicit trigger guidance, which is critical for skill selection. It uses appropriate third-person voice and mentions specific technical components, but lacks the 'Use when...' clause that would help Claude know when to select this skill over alternatives.

Suggestions

Add a 'Use when...' clause with trigger terms like 'batch images', 'generate multiple images', 'OpenAI DALL-E', 'image gallery', or 'bulk image generation'

Include common user phrases and variations such as 'DALL-E', 'AI-generated images', 'create multiple pictures', or 'image batch processing'

Expand the action list to include specific capabilities like 'configure generation parameters', 'customize prompts', or 'organize outputs'

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, create gallery) 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', or 'create pictures'.	2 / 3
Distinctiveness Conflict Risk	The OpenAI Images API reference and gallery output provide some distinction, but 'batch-generate images' could overlap with other image generation skills; lacks explicit triggers to differentiate from general image tools.	2 / 3
	Total	7 / 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 (e.g., what to do if API returns rate limit errors or generation fails)

Include a validation step or expected output confirmation after running the script

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 API errors.	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: 8763418

Reviewed: about 1 hour ago

Table of Contents

Discovery Implementation Validation

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