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imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.

Quality

84%

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SKILL.md
Quality
Evals
Security

Quality

Content

71%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.

Well-structured content with strong progressive disclosure, concrete prompt scaffolding, and a validated workflow with feedback loops. The main weakness is repetition of the mode-selection and save-path rules across several sections, which inflates token cost without adding clarity.

Suggestions

State the built-in-vs-CLI mode rule once in 'Top-level modes and rules' and reference it from the Workflow and Prompting sections instead of restating it in steps 1, 10, and 11.

Consolidate the save-path policy into a single section; the precedence rules currently recur in both 'Built-in save-path policy' and Workflow steps 14-16.

Add an explicit validation checkpoint for batch runs (e.g., confirm selected finals vs. discarded variants before persisting) to match the feedback-loop rigor of the single-asset path.

DimensionReasoningScore

Conciseness

Mostly efficient and free of basic-concept padding, but the built-in-vs-CLI-mode rule and the save-path policy are each restated across multiple sections ('Top-level modes and rules', 'Workflow' steps, 'Prompting best practices', 'Reference map'), which could be tightened.

3 / 5

Actionability

Provides a copy-paste-ready labeled prompt schema, two complete worked examples (hero image, edit invariants), concrete CLI subcommands, and executable install commands; minor gaps in that the built-in path relies on tool invocation rather than runnable code.

4 / 5

Workflow Clarity

A 17-step sequenced workflow with a decision tree and explicit validation (step 12: inspect/validate subject, style, composition, text, invariants) plus a feedback loop (step 13: single targeted change then re-check); minor gaps in formal checkpoints for batch/discarded-variant handling.

4 / 5

Progressive Disclosure

Body is an overview with a clear 'Reference map' section pointing one level deep to real bundle files (prompting.md, sample-prompts.md, cli.md, image-api.md, codex-network.md, image_gen.py), all verified present, with content appropriately split and easy to navigate.

5 / 5

Total

16

/

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 concretely states capabilities, gives explicit use/non-use triggers, and sharply distinguishes bitmap generation from vector/code-native work. Only minor gap is the absence of common image file extensions among the trigger terms.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Generate or edit raster images', 'transform an existing image', 'derive visual variants from references' — plus concrete output types (photos, illustrations, textures, sprites, mockups, cutouts), giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers both 'what' (generate/edit raster images) and 'when' ('Use when Codex should create a brand-new image, transform an existing image, or derive visual variants'), plus an explicit 'Do not use when...' clause with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good coverage of natural terms users would say (photos, illustrations, sprites, mockups, transparent-background cutouts, variants), but missing common file extensions like .png/.jpg that would round out the synonyms.

4 / 5

Distinctiveness Conflict Risk

Clear bitmap-vs-vector niche and an explicit 'Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas' clause minimizes conflict with adjacent skills.

5 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

15

/

16

Passed

Repository

openai/skills

Path

skills/.system/imagegen/SKILL.md

Reviewed

Table of Contents

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