higgsfield-moodboard

higgsfield-moodboard is an Image generation & prompting skill for AI agents, published by OSideMedia in the higgsfield-ai-prompt-skill repository on GitHub. Skillspace rates higgsfield-moodboard D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Use when the user asks about Moodboard, building a moodboard from reference images, curated moodboard presets, Soul Hex color transfer, applying a visual style direction to generations, or named moodboard styles like Y2K studio, Warm ambient, Theatrical light, Swag era, Flash editorial, Street photography, Asian nostalgia, Retro BW, Surreal solarization, etc.

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
206

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubOSideMedia/higgsfield-ai-prompt-skill

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 1 other repositories, in 1 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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