canary
Installation
SKILL.md
Canary
I'll watch your deployment after it goes live, polling for errors and regressions until health is confirmed or a problem surfaces. Inspired by gstack's canary skill.
Token Optimization
Expected range: 200–600 tokens per poll cycle, 50 tokens (healthy exit)
Patterns used: Bash for all checks, early exit (all green on first check), progressive disclosure (status line per cycle → details only on failure)
Early exit: If all checks pass on the first cycle, report "Deployment healthy — all checks green" and stop.
Step 1 — Identify What to Monitor
Infer from the project or accept explicit arguments:
# Check for common deployment indicators
ls -la .env .env.production docker-compose.yml Procfile 2>/dev/null