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 Google-Health-API · Agent Tool · ★ 221
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is google-health-cli safe to install? View the security audit →
ghealth CLI for the Google Health API v4 — built for AI agents and developers. 40 verified data types: steps, heart rate, exercise, sleep, weight, SpO2, HRV, ECG, blood glucose, nutrition, and more Agent-first: simplified JSON output, deterministic exit codes, , Single binary: Quick Start Requirements Download and Install Go Installation Setup Walks you through: GCP project ID, OAuth credentials (download from Console — Desktop application type), Health API enablement, scope selection, and browser-based OAuth login. Files written under (override with ): — your OAuth client (mode 0600) — access + refresh tokens (mode 0600, plaintext JSON) — active profile (proje
| Stars | 221 |
| Forks | 20 |
| Language | Go |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 72.7727882731218/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-10 |
| Created | 2026-06-24 |
| Platforms | cli, go |
| Est. Tokens | ~16k |
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google-health-cli is Google Health CLI — one command-line tool for the Google Health API. Includes AI agent skills.. It is categorized as a Agent Tool with 221 GitHub stars.
google-health-cli is primarily written in Go. It covers topics such as agent-skills, ai-agents, automation.
You can find installation instructions and usage details in the google-health-cli GitHub repository at github.com/Google-Health-API/google-health-cli. The project has 221 stars and 20 forks, indicating an active community.
google-health-cli is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to google-health-cli on Agent Skills Hub include chief, ai-trader, pydantic-deepagents. 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: