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
Installs
2
GitHub Stars
1
First Seen
Apr 30, 2026
Security Audits
canary — manastalukdar/ai-devstudio