by thebriangao · MCP Server · ★ 136
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/thebriangao/totem.git
git clone https://github.com/thebriangao/totem
Taken 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 | 136 |
| Forks | 38 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 65/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-16 |
| Created | 2026-05-26 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~22k |
Totem gives Claude (or any MCP-compatible AI) full read + write access to your wearable data. Today it speaks Whoop — every metric, through Whoop's private iOS API.
These tools work well together with totem for enhanced workflows:
Looking for a totem alternative? If you're comparing totem with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Model Context Protocol server giving Claude (or any MCP client) full read + write access to your Whoop fitness
Model Context Protocol server giving Claude (or any MCP client) full read + write access to your Whoop fitness
Read-only WHOOP MCP server for recovery, sleep, HRV, strain, workouts, and personal health analytics in Claude
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Manage your Hevy workouts, routines, folders, and exercise templates. Create and update sessions faster, organ
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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: