Verity – self-healing review gate for Claude Code
Adversarial review gate for Claude Code when CodeRabbit and GitHub already do AI review.

- An adversarial review layer, which is part SAST scanning for quality and security issues deterministically, and part AI (a different one) checking for intent gaps. - Built-in gates that tells the coding agent how to fix itself when it finds an issue (this is the self-healing part). - Compounding knowledge base where every decision is saved, so the next time the coding agent run it starts smarter - Dashboards for token cost control, broken down by tasks
And here is a demo: https://www.youtube.com/watch?v=vsq_cHoZCnk
We're looking for beta testers to join the community and influence the roadmap. Set up takes 2 minutes, learn more here https://verity.md
Adversarial review gate for Claude Code when CodeRabbit and GitHub already do AI review.
Five-gate validation framework prevents skill knowledge drift, but experiments limited to one domain.
Work-review-gate loop automates Claude iteration, but templated agentic loops already exist at scale.
Agents leaving notes for other agents via MCP is a clever pattern for tribal knowledge.
BERT schema drift detection for health telemetry, but audience limited to PhD researchers.
Claude Code Skill pattern paper—interesting theory, but unclear if it ships as a usable tool today.