by Evianis · Codex Skill · ★ 749
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A source-available Codex skill for distilling photographs into sparse editorial abstractions.
| Stars | 749 |
| Forks | 52 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 53.6803446894209/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-03 |
| Created | 2026-08-02 |
| Platforms | codex, python |
| Est. Tokens | ~13k |
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travel-photo-abstraction is A source-available Codex skill for distilling photographs into sparse editorial abstractions.. It is categorized as a Codex Skill with 749 GitHub stars.
travel-photo-abstraction is primarily written in Python. It covers topics such as codex, codex-skill, image-generation.
You can find installation instructions and usage details in the travel-photo-abstraction GitHub repository at github.com/Evianis/travel-photo-abstraction. The project has 749 stars and 52 forks, indicating an active community.
The top alternatives to travel-photo-abstraction on Agent Skills Hub include mcp-image, dbhub, cocoindex-code. 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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