No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by wnby · Codex Skill · ★ 3
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is travel-photo-soft-abstraction safe to install? View the security audit →
A Codex skill for clean upper-photo/lower-abstraction travel artworks with source-readable soft visual distillation
| Stars | 3 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 49.5976724439403/100 |
| Last Updated | 2026-08-07 |
| Created | 2026-08-07 |
| Platforms | codex, python |
| Est. Tokens | ~13k |
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travel-photo-soft-abstraction is A Codex skill for clean upper-photo/lower-abstraction travel artworks with source-readable soft visual distillation. It is categorized as a Codex Skill with 3 GitHub stars.
travel-photo-soft-abstraction is primarily written in Python. It covers topics such as codex-skill, creative-coding, editorial-design.
You can find installation instructions and usage details in the travel-photo-soft-abstraction GitHub repository at github.com/wnby/travel-photo-soft-abstraction. The project has 3 stars and 0 forks, indicating an active community.
The top alternatives to travel-photo-soft-abstraction on Agent Skills Hub include photo-abstract-editorial, fantasy-dongfang-jianyuehaibao, xxd-panel-028. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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.
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