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 xiaYuTian11 · Codex Skill · ★ 253
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is maskit safe to install? View the security audit →
Data Maskit (数据面具) 专为大模型打造的本地隐私脱敏与还原网关 · 请求自动结构化打码 · 回复打字机无感还原 · 100% 本地运算零遥测 简体中文 | English 💡 为什么需要 Maskit？ 当你在使用
| Stars | 253 |
| Forks | 42 |
| Language | Python |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 61.3004396953331/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2026-09-09 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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maskit is 数据面具 Data Maskit — 专为大模型打造的本地隐私脱敏网关（请求自动打码，回复流式还原；支持 Cursor / Claude Code / Codex / Pi 等任意可配 Base URL 工具）. It is categorized as a Codex Skill with 253 GitHub stars.
maskit is primarily written in Python. It covers topics such as anthropic, claude-code, cursor.
You can find installation instructions and usage details in the maskit GitHub repository at github.com/xiaYuTian11/maskit. The project has 253 stars and 42 forks, indicating an active community.
maskit is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to maskit on Agent Skills Hub include CosyRedactGateway, pasteguard, NoPII. 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.
Sources & who's responsible: