higgsfield-models

higgsfield-models is a Video production & editing skill for AI agents, published by OSideMedia in the higgsfield-ai-prompt-skill repository on GitHub. Skillspace rates higgsfield-models D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Use when the user asks which model to use, wants to compare models, or needs guidance on selecting between Kling, Sora 2, Wan, Seedance, Veo 3, Minimax Hailuo, Soul, Nano Banana, or other Higgsfield engines.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
206

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 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

Better-rated skills in Video production & editing

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