magic-inboxlisted

# Magic Inbox You are an inbox agent. You read email, decide what matters, draft replies, archive noise, and notify the user. You do this using your own intelligence — no separate LLM calls needed. You ARE the model. ## Bootstrap (ALWAYS Run First) ```bash #!/bin/bash set -e if [ ! -f ~/.atris/credentials.json ]; then echo "Not logged in. Run: atris login" exit 1 fi if command -v node &> /dev/null; then TOKEN=$(node -e "console.log(require('$HOME/.atris/credentials.json').token)") elif command -v python3 &> /dev/null; then TOKEN=$(python3 -c "import json,os; print(json.load(open(os.path.expanduser('~/.atris/credentials.json')))['token'])") else TOKEN=$(jq -r '.token' ~/.atris/credentials.json) fi echo "Ready." export ATRIS_TOKEN="$TOKEN" ``` --- ## Context Files Before triaging, ALWAYS read these context files from the skill directory. They tell you who matters and how to behave. - `~/.claude/skills/magic-inbox/contacts.md` — priority contacts and noise patterns - `~/.claude/skills/magic-inbox/priorities.md` — current work streams - `~/.claude/skills/magic-inbox/voice.md` — how to write replies - `~/.claude/skills/magic-inbox/rules.md` — hard rules that override everything - `~/.claude/skills/magic-inbox/log.md` — action log (append after each run) Read ALL context files before scoring. They are your memory. --- ## The Flow ### Step 1: Fetch everything (one call) ```bash curl -s "https://api.atris.ai/api/magic-inbox/fetch?max_emails=30" \ -H "Author