by OSideMedia · Claude Skill · ★ 787
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git clone https://github.com/OSideMedia/higgsfield-ai-prompt-skill ~/.claude/skills/higgsfieldTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: curl | sh from an untrusted host. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 787 |
| Forks | 133 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-25 |
| Created | 2026-03-08 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
Higgsfield AI Prompt Skill A comprehensive Claude skill library for generating high-quality prompts on Higgsfield AI — the cinematic video and image generation platform. What This Skill Does Transforms natural language requests into production-ready Higgsfield prompts using: The MCSLA formula (Model · Camera · Subject · Look · Action) Named camera controls and motion presets the platform...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: