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Run read-only launch checks for AI-built apps with readiness scoring.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "checkyourself" yet — see the docs or source repo.
Run a read-only production-readiness check on this AI app project. Assess configuration, dependencies, deployment, and security risks, then provide an evidence-based readiness score and a pre-launch fix list.
A readiness report with check results, supporting evidence, an overall score, and prioritized fixes.
For the release candidate, identify high-risk issues that should block launch, rank them by severity, and explain why each one affects production stability.
A severity-ranked list of launch blockers with impact explanations and fix directions.
Using the previous check as a baseline, run another read-only review on the fixed project and compare the readiness score, resolved issues, remaining risks, and newly found concerns.
A before-and-after comparison report showing score changes, fix effectiveness, and remaining action items.
Run pre-deploy security and readiness checks for AI-built apps.
Audit AI apps or model setups to find risks and improvements.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Review MCP servers for quality, security, scores, and improvement plans.
Audit production readiness locally and uncover risks before or after release.
Automatically tests MCP servers for conformance, quality, and reliability with a scorecard.