ops-canary

Name: ops-canary
Availability: InStock
Author: piercingxx

Monitor post-deploy canary signals and trigger rollback on quality degradation.

1|Updated Jul 9, 2026

Search Tags:#rollback #health checks #post-deploy #canary monitoring #latency regression #production telemetry #incident timeline

Ready to run

npx skills add https://github.com/PiercingXX/xx-stack --skill ops-canary

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ops-canary
Source: https://github.com/PiercingXX/xx-stack/tree/main/runtime/skills/ops-canary
Command: npx skills add https://github.com/PiercingXX/xx-stack --skill ops-canary

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ops-canary prevents silent production regressions by monitoring real post-deploy signals and enforcing clear rollback triggers when core quality or critical user journeys degrade.

Core Features & Use Cases

Canary Monitoring Window: Verifies system health during the first 30 minutes with frequent checks, then continues at a lower cadence for the next 2 hours.
Signal-Driven Regression Detection: Tracks error rate, P95 latency, throughput changes, authentication success, and critical journey success (only for signals that actually exist in the current system).
Rollback Triggering & Verification States: Classifies outcomes as PASS, FAIL (rollback confirmed), or AMBIGUOUS (missing/noisy telemetry) and produces a structured canary report with deltas and confidence.

Quick Start

Use ops-canary immediately after deployment to monitor live metrics for 2 hours and automatically initiate rollback if the configured rollback triggers fire.

Frequently Asked Questions about ops-canary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I monitor post-deploy canary metrics to detect production regressions?▼

Post-deploy canary monitoring tracks error rate, P95 latency, throughput changes, and critical user journey success using available telemetry. It verifies system health frequently during the first 30 minutes, then continues at a lower cadence for up to 2 hours.

What is the best way to trigger an automatic rollback when latency regressions occur?▼

Automatic rollback triggering relies on monitoring live production telemetry and enforcing clear thresholds. When quality signals degrade or critical user journeys fail, the system classifies the outcome as FAIL to initiate an immediate rollback.

How do you classify canary deployment outcomes when production telemetry is noisy?▼

Canary deployment outcomes are classified as PASS, FAIL, or AMBIGUOUS. AMBIGUOUS status applies when missing or noisy telemetry prevents deterministic confidence classification, generating a structured report with metric deltas.

Can I use post-deploy health checks if my system only tracks authentication success rates?▼

Post-deploy health checks apply to release validation scenarios using only the signals that actually exist in your current system. If authentication success is the only available telemetry, it will use that for regression detection.

What is the difference between deterministic and transient confidence classification in canary monitoring?▼

Deterministic confidence classification confirms genuine regressions from clear telemetry deltas, while transient classification isolates environmental noise. This distinction prevents unnecessary rollbacks caused by temporary capability or environment fluctuations.