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 baidu-netdisk · Codex Skill · ★ 224
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bdpan-storage safe to install? View the security audit →
baidu-drive 百度网盘 AI Skill — 让 Agent 一句话操作你的网盘 上传 / 下载 / 转存 / 分享 / 搜索 / 移动 / 复制 / 重命名 / 创建文件夹 适配 Claude Code · OpenClaw · DuClaw · KimiClaw · Manus 等 AI Agent Baidu Netdisk AI Skill — Manage cloud files with natural language. Compatible with Claude Code · Cursor · Codex CLI · Gemini CLI · OpenClaw · DuClaw · KimiClaw · Manus 一键安装 首次使用时，Skill 会自动引导完成 CLI 工具安装和百度网盘登录授权。 用自然语言操作网盘 安装完成后，在你的 AI Agent 中直接说： Skill 自动识别意图、执行操作、返回格式化结果。 功能 "下载这个网盘分享 http
| Stars | 224 |
| Forks | 15 |
| Language | Shell |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 67.0454680371216/100 |
| Open Issues | 16 |
| Last Updated | 2026-09-03 |
| Created | 2026-03-12 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~11k |
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bdpan-storage is Agent Skill for Baidu Netdisk (百度网盘) — upload, download, transfer, share, search files via natural language. Works with Claude Code, Cursor, Codex, Gemini CLI, OpenClaw.. It is categorized as a Codex Skill with 224 GitHub stars.
bdpan-storage is primarily written in Shell. It covers topics such as agent-skills, agentic-ai, ai-agents.
You can find installation instructions and usage details in the bdpan-storage GitHub repository at github.com/baidu-netdisk/bdpan-storage. The project has 224 stars and 15 forks, indicating an active community.
bdpan-storage is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to bdpan-storage on Agent Skills Hub include ai-maestro, smart-ralph, ok-skills. 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: