postdeploy-verification

Design post-deploy verification plans with smoke tests, canary metrics, and rollback criteria.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/ohsonerdy/openclaw-frontier-stack --skill postdeploy-verification
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: postdeploy-verification
Source: https://github.com/ohsonerdy/openclaw-frontier-stack/tree/main/skills/postdeploy-verification
Command: npx skills add https://github.com/ohsonerdy/openclaw-frontier-stack --skill postdeploy-verification

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill closes the gap between “CI is green / deploy succeeded” and “the deploy actually works for users,” preventing slow-burn and coverage-miss incidents after production releases.

Core Features & Use Cases

  • Post-deploy smoke tests: Design fast, fail-loud checks against real production paths with safe, idempotent behavior.
  • Canary metric checks: Compare canary-vs-baseline for error rate, p99 latency, traffic shape, and resource consumption with calibrated rollback thresholds.
  • Rollback and verification authority: Define who can trigger rollback (automated vs human-approved vs on-call) and avoid approval-chain delays.
  • Manual verification checklist: Add timeboxed, evidence-backed critical user-flow checks for high-risk deploys.
  • Monitoring window and all-clear: Keep verification responsibility during a defined window, then issue an explicit all-clear after watching the signals.
  • Post-mortem driven improvement: Convert incident learnings into new checks, tests, or monitoring so the same gap doesn’t recur.
  • Feature flag separation: Verify code in production with flags in the intended default state, then roll out behavior in a separate, staged operation.

Quick Start

Use the postdeploy-verification skill to generate a verification plan for your next release by providing the deploy risk level, rollout method (canary or full), critical user paths, and the monitoring duration you can support.

Frequently Asked Questions about postdeploy-verification

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

FAQPage Schema
How do I verify a production deploy actually worked beyond CI pipeline success?▼

Post-deploy verification confirms production releases work by designing smoke tests, evaluating canary metrics against baselines, and defining rollback thresholds to catch slow-burn incidents that pipeline success misses.

What should I check during a post-deploy monitoring window before issuing an all-clear?▼

During a post-deploy monitoring window, watch error rates, p99 latency, traffic shape, and resource consumption against calibrated baselines to ensure stability before issuing an explicit all-clear decision.

How do I set safe rollback thresholds for canary metric checks?▼

Set rollback thresholds by comparing canary metrics against baseline performance for error rate and latency, then defining automated or human-approved rollback authority to trigger if thresholds are breached.

How do I design idempotent post-deploy smoke tests for critical user paths?▼

Design post-deploy smoke tests as fast, fail-loud checks against real production paths using safe, idempotent behavior to verify critical user flows without causing side effects.

Can I use feature flag rollout sequencing to separate code deployment from behavior activation?▼

Feature flag separation verifies code in production with flags in the default state, then rolls out behavior in a separate staged operation to isolate deployment risk from activation risk.

How do I prevent recurring deployment incidents using post-mortem driven verification?▼

Post-mortem driven improvement converts incident learnings into new post-deploy checks, tests, or monitoring additions, closing verification gaps so the same deployment failures do not recur.