by shkyyy18 · MCP Server · ★ 70
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/shkyyy18/mi_fitness_data_bridge.gitTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
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 | 70 |
| Forks | 10 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 64/100 |
| Open Issues | 2 |
| Last Updated | 2026-11-09 |
| Created | 2026-07-15 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
English: README.en.md 小米设备数据导出skill（Mi Fitness Data Bridge） 把小米运动健康（Mi Fitness）数据保存到自己的电脑，导出为 CSV、JSON 或 SQLite。 适合个人备份、表格整理和自己的分析程序；也提供 Python 接口和本机 stdio MCP 查询工具。实际可获取的数据类型取决于设备、账户地区和上游服务。 非官方、实验性项目。 本项目与小米没有隶属、背书或支持关系；小米、米家（Mi Home）和 Mi Fitness 是小米公司的商标。适配器依赖非公开上游接口，小米的服务、账户地区、设备、固件或认证方式变化后，登录、连接或某些数据类型可能随时失效。仅可用于你有权访问的账户和数据。 ▶ 不用登录，先看合成数据导出演示 · 兼容性与上手限制 · English 先试结果，再连接账户 只是想看导出效果？...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: