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codex-gpt-image-2-5-flare

Generate or edit artwork with built-in Codex image gen, especially transparent PNG ornaments, game sprites, emblems, and UI graphics. Use when the user requests GPT 2.5 Flare, /codex-gpt-image-2-5-flare, or this built-in transparent-asset workflow. Includes alpha verification, prompt preservation, and optional project integration.

69

Quality

84%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

81%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.

The body is a well-sequenced, actionable workflow with strong validation feedback loops and appropriate structure. It is efficient and concrete, with only minor tightening and path-resolution opportunities.

Suggestions

Resolve the placeholder '/path/to/codex-gpt-image-2-5-flare/scripts/inspect_png.py' to a discoverable relative path or explain how to obtain it at runtime.

Consolidate the model-selector caveat into one place instead of restating it across sections 3 and the opener to trim tokens.

Provide a complete, ready-to-run prompt example (not just 'Your complete asset prompt') in the functions-mode snippet to maximize copy-paste readiness.

DimensionReasoningScore

Conciseness

The body is mostly lean and assumes Claude's competence, with executable code and a focused prompt template; a few prose passages (e.g., the model-selector caveat repeated across sections) could be tightened slightly.

4 / 5

Actionability

Provides a concrete JavaScript functions-mode example, a copy-paste bash command for the bundled inspect_png.py, and a detailed transparent-asset prompt template, with minor gaps such as placeholder prompt text and an unresolved absolute path.

4 / 5

Workflow Clarity

Six numbered sections give a clear sequence, and section 4 provides an explicit validation checkpoint (inspect_png.py with --require-transparency) plus a feedback loop (re-edit with the original as reference if transparency/composition is wrong).

5 / 5

Progressive Disclosure

Well-organized into six clear sections with a single one-level-deep reference to the bundled scripts/inspect_png.py (described with its exact output); slightly above the simple-skill threshold and uses a placeholder absolute path rather than a resolved one.

4 / 5

Total

17

/

20

Passed

Description

87%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.

The description is concrete, third-person, and clearly states both capabilities and trigger conditions with a distinct niche. It is strong overall, with only minor room to broaden natural trigger synonyms.

Suggestions

Add common synonyms and file extensions to the trigger clause (e.g., '.png', 'transparent background', 'sprite', 'emblem') so more natural phrasings surface the skill.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions (generate/edit artwork, alpha verification, prompt preservation, project integration) plus specific asset types (transparent PNG ornaments, game sprites, emblems, UI graphics), with only minor coverage gaps.

4 / 5

Completeness

Explicitly answers both 'what' (generate/edit artwork with built-in Codex image gen, transparent PNG assets) and 'when' (Use when the user requests GPT 2.5 Flare, /codex-gpt-image-2-5-flare, or this transparent-asset workflow) with concrete trigger phrases, in third person.

5 / 5

Trigger Term Quality

Includes natural triggers users would say ('GPT 2.5 Flare', '/codex-gpt-image-2-5-flare', 'transparent-asset workflow') and asset-type keywords, but misses a few common synonyms/extensions like 'PNG', '.png', or 'transparent background'.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (built-in Codex image gen for transparent-asset workflow) with distinct, specific triggers that are unlikely to fire for unrelated skills.

5 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
MengTo/Skills
Reviewed

Table of Contents

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