post-deployment-verifierVerify deployments are healthy after release — check endpoints, compare response schemas, validate metrics, run smoke tests, verify database migrations, and...
Install via ClawdBot CLI:
clawdbot install charlie-morrison/post-deployment-verifierGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.example.com/v1/statusAudited Apr 28, 2026 · audit v1.0
Generated Oct 6, 2026
After deploying a new version to production, run this skill to verify health endpoints, test key API response schemas, compare version tags, and scan 5-minute logs for errors before announcing a successful release. It produces a deployment confidence report that tells the team whether to promote or roll back.
For teams shipping containerized microservices to Kubernetes, the skill discovers readiness probes, checks local and cluster endpoints, validates version mismatches, and confirms database migrations are current. This reduces the need for manual smoke tests during each rollout.
An online retailer deploys a new checkout flow and uses this verifier to confirm the/status and/health endpoints return 200, the deployed version matches the package version, and container logs show no errors. It prevents bad customer experiences from missed configuration issues.
A fintech company must prove after every deployment that the API returns expected fields and schema, with no error spikes. The skill runs automated response validation, error monitoring, and database migration checks, then generates a confidence report for audit and compliance records.
A digital agency uses this skill after deploying client websites or apps to confirm all environments are healthy. It quickly discovers health endpoints from docker-compose and environment variables, runs smoke tests, and delivers a confidence score before client sign-off.
The verifier is offered as a free open-source command-line skill to build adoption among developers. Enterprises pay for a supported version with advanced integrations, SLAs, and compliance reporting features. Revenue comes from support subscriptions and premium add-ons.
The skill is embedded into a SaaS CI/CD platform that charges per pipeline execution or per seat. Teams use it as a gate in their deployment pipeline, with dashboards and alerting on top. Revenue is recurring based on usage tiers.
Individual developers get the core verifier for free, while teams pay for shared configuration, centralized confidence reports, role-based access, and audit trails. The paid tier unlocks collaboration and history retention.
💬 Integration Tip
Place the skill as a post-deployment step in your CI/CD pipeline (e.g., after kubectl apply or docker-compose up) and configure .deploy-verify.json with critical endpoints and expected fields to get automated confidence scores.
Scored Oct 6, 2026
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