openai-image-gen

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

Quality

77%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/openai-image-gen/SKILL.md

Quality

Content

87%

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

The content is concise and highly actionable with concrete runnable examples and a well-organized single-file reference structure. The main gap is the absence of any validation or verification guidance for this batch operation, which caps workflow clarity.

Suggestions

Add a verification step after running, e.g. confirming the expected number of image files exist and that index.html opened, and note how to interpret API errors or partial failures when batch-generating.

Mention how to confirm the OPENAI_API_KEY is set before running so a failed batch fails fast with a clear cause.

Dimension	Reasoning	Score
Conciseness	The body is lean and assumes Claude's competence — it jumps straight to runnable commands and compact per-model parameter tables without explaining what an API or image model is, matching the level-3 anchor of every token earning its place.	3 / 3
Actionability	Provides fully executable, copy-paste-ready commands such as 'python3 {baseDir}/scripts/gen.py --count 16 --model gpt-image-1' with concrete flag examples across all three model families, matching the level-3 anchor.	3 / 3
Workflow Clarity	The single run command is clear, but this is a batch operation (generating multiple images) with no verification step confirming images saved or handling API failures, so per the batch-operations guideline workflow clarity is capped at 2.	2 / 3
Progressive Disclosure	Well-organized into Run, Model-Specific Parameters, and Output sections with a single one-level-deep reference to the real scripts/gen.py bundle file and no nested references, matching the level-3 anchor of clear overview with easy navigation.	3 / 3
	Total	11 / 12 Passed

Description

67%

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 and distinctive about what it does, but it lacks an explicit 'when to use it' trigger clause and is missing common natural variations like 'DALL-E' and 'image generation'. Adding a 'Use when...' clause would lift completeness and trigger-term coverage.

Suggestions

Append an explicit trigger clause, e.g. 'Use when generating images with OpenAI, batch-creating AI artwork, or when the user mentions DALL-E or image generation.'

Include natural variations users would say ('image generation', 'DALL-E', 'AI images') alongside 'OpenAI Images API' to improve trigger-term coverage.

Dimension	Reasoning	Score
Specificity	Names concrete actions — 'Batch-generate images via OpenAI Images API', 'Random prompt sampler', and 'index.html gallery' — each a specific capability rather than vague description, matching the level-3 anchor of listing multiple concrete actions.	3 / 3
Completeness	Clearly states what the skill does but lacks any 'Use when...' clause or equivalent explicit trigger guidance for when to invoke it, so per the judging guideline completeness is capped at 2.	2 / 3
Trigger Term Quality	Includes relevant natural terms ('images', 'generate', 'OpenAI Images API', 'gallery') but omits common variations users would say such as 'image generation', 'DALL-E', or 'AI pictures', fitting the level-2 anchor of some relevant keywords with missing variations.	2 / 3
Distinctiveness Conflict Risk	The narrow niche of OpenAI Images API batch generation plus a random prompt sampler and HTML gallery is clearly distinguishable and unlikely to trigger for unrelated skills.	3 / 3
	Total	10 / 12 Passed

Validation

81%

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 — 13 / 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

	Total	13 / 16 Passed

Repository: Bitterbot-AI/bitterbot-desktop
Path: skills/openai-image-gen/SKILL.md
Commit: e73c717

Reviewed: about 16 hours ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.