by Cmochance · Codex Skill · ★ 302
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git clone https://github.com/Cmochance/codex-app-transfer.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 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 | 302 |
| Forks | 30 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 58/100 |
| Open Issues | 21 |
| Last Updated | 2026-08-24 |
| Created | 2026-05-01 |
| Platforms | claude-code, cli, codex, rust |
| Est. Tokens | ~31k |
Codex App Transfer [!IMPORTANT] 🔴 测试覆盖范围说明 本项目当前仅对 Kimi For Coding、Xiaomi MiMo(Token Plan)两家供应商完成了端到端真机实际测试。 其他已内置的 chat-completions 兼容供应商(包括 DeepSeek、Kimi(月之暗面)、Xiaomi MiMo(Pay for Token)、智谱 GLM、智谱 GLM Coding、阿里云百炼(API Key / Token Plan)、MiniMax)未做长期真机回归,仅停留在单元测试 + 偶发用户反馈层面。 如果你愿意提供其他供应商的 API key 用于测试,将万分感激!可通过 QQ: 或邮箱联系作者,作者保证 API key 仅用于本项目实际测试。 简体中文 | English | Changelog | Code Graph Codex...
These tools work well together with codex-app-transfer for enhanced workflows:
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MCP-X 是一个**企业级 AI 中台**，集成了 AI 对话、文案生成、视频生成、图片生成、前端应用构建、MCP市场、Agent智能体等多种创作工具，为企业和开发者提供一站式的 AIGC 工作台解决方案。
Coding Agent Session Manager for Claude Code / Gemini CLI / Codex CLI / Cursor Agent / Copilot CLI / Cline CLI
Claude Code plugin that asks several AI coding agents the same question and shows their answers side by side.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 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: