Awesome-openclaw-skills dexcom

Monitor blood glucose via Dexcom G7/G6 CGM

install
source · Clone the upstream repo
git clone https://github.com/sundial-org/awesome-openclaw-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/sundial-org/awesome-openclaw-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/dexcom" ~/.claude/skills/sundial-org-awesome-openclaw-skills-dexcom && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/sundial-org/awesome-openclaw-skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/dexcom" ~/.openclaw/skills/sundial-org-awesome-openclaw-skills-dexcom && rm -rf "$T"
manifest: skills/dexcom/SKILL.md
source content

Dexcom CGM

Real-time blood glucose monitoring via Dexcom G6/G7 continuous glucose monitor.

Setup

Set environment variables:

export DEXCOM_USER="your@email.com"
export DEXCOM_PASSWORD="your-password"
export DEXCOM_REGION="ous"  # or "us" (optional, defaults to "ous")

Or configure in

~/.clawdbot/clawdbot.json
:

{
  skills: {
    "dexcom": {
      env: {
        DEXCOM_USER: "your@email.com",
        DEXCOM_PASSWORD: "your-password",
        DEXCOM_REGION: "ous"
      }
    }
  }
}

Usage

Formatted report:

uv run {baseDir}/scripts/glucose.py now

Raw JSON:

uv run {baseDir}/scripts/glucose.py json

Example Output

🩸 Glucose: 100 mg/dL (5.6 mmol/L)
📈 Trend: steady ➡️
🎯 Status: 🟢 In range
⏰ 2026-01-18 09:30:00

Requirements

  • Dexcom G6 or G7 with Share enabled
  • uv (Python package manager)
  • Valid Dexcom Share credentials