by oguzhankayan · Codex Skill · ★ 57
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Agent skill for writing native Turkish and removing translationese from AI and localized copy.
| Stars | 57 |
| Forks | 4 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 56.6354604538371/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-13 |
| Created | 2026-09-11 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~6k |
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turkish-native is Agent skill for writing native Turkish and removing translationese from AI and localized copy.. It is categorized as a Codex Skill with 57 GitHub stars.
turkish-native is primarily written in Python. It covers topics such as agent-skill, chatgpt, claude.
You can find installation instructions and usage details in the turkish-native GitHub repository at github.com/oguzhankayan/turkish-native. The project has 57 stars and 4 forks, indicating an active community.
turkish-native is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to turkish-native on Agent Skills Hub include anti-slop-writing, Supervertaler-Workbench, c4-genai-suite. 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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