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RiskRadar AI

AI code review quality gate for PRs and Git Diff, release readiness, code risk review, LLM testing, Agentic AI risk, and RAG security.

RiskRadar AI reviews Git Diff and source code for functional risk, runtime failure paths, dependency impact, security exposure, performance risk, AI/Agent/RAG workflow risk, and regression-test gaps. It produces a release-ready Markdown report with severity, exact code location, impact, evidence, and test strategy.

Why Star This Skill

  • Works across backend, frontend, mobile, API, platform, data, and AI systems.
  • Finds risks in LLM, Agent, RAG, prompt, tool-calling, model-routing, and fallback workflows.
  • Converts code review into actionable release-gate evidence.
  • Produces specific tests: unit, integration, E2E, adversarial, resilience, and monitoring.
  • Helps teams reduce missed defects before release.

Example Prompts

Use RiskRadar AI to review this Git Diff for release risks and build a test strategy.

Check this AI workflow for Agent/RAG risks, runtime failure paths, and regression-test gaps.

Search Keywords

ai-code-review quality-gate pr-quality-gate git-diff-review code-risk-review regression-testing test-strategy runtime-risk dependency-impact security-testing agentic-ai-risk rag-security llm-testing qa-automation