KyaniteLabs/checkyourself
by Various
Local-first production-readiness system for AI-built apps: read-only audit, evidence-based 0-100 score, guided fixes, learning plan, dashboard, CLI, and MCP.
MCP
KyaniteLabs/checkyourself
Added 7 June 2026
Overview
A local-first tool that performs read-only audits of applications built with AI. It produces an evidence-based 0-100 production readiness score and provides guided fixes along with a learning plan. Includes a dashboard, CLI, and MCP for workflow integration.
Best for
Best for
Developers building apps with AI who need a private, local assessment of production readiness with concrete improvement steps.
Use cases
- Auditing an AI-built app before production deployment
- Generating a production readiness score with actionable evidence
- Receiving guided fixes and a learning plan from audit results
Notes
A local-first tool that performs read-only audits of applications built with AI. It produces an evidence-based 0-100 production readiness score and provides guided fixes along with a learning plan. Includes a dashboard, CLI, and MCP for workflow integration.
1 stars on GitHub. Last updated 2026-06-07. Licensed Apache-2.0.
Use cases
- Auditing an AI-built app before production deployment
- Generating a production readiness score with actionable evidence
- Receiving guided fixes and a learning plan from audit results
Pros
- Local-first design keeps your code and data private
- Read-only audit ensures no accidental modifications
- Guided fixes and learning plan make results actionable
Cons
- Very early-stage project with minimal community adoption (1 star)
- Limited to Python runtime environment
- Niche focus on AI-built apps may not suit general projects
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Local-first design keeps your code and data private
- Read-only audit ensures no accidental modifications
- Guided fixes and learning plan make results actionable
Cons
- Very early-stage project with minimal community adoption (1 star)
- Limited to Python runtime environment
- Niche focus on AI-built apps may not suit general projects
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