logicart-reviewAI-powered code analysis via LogicArt — find bugs, security issues, and get logic flow visualizations. Use when reviewing code, analyzing code quality, findi...
Install via ClawdBot CLI:
clawdbot install jpaulgrayson/logicart-reviewGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://logic.art/api/agent/analyze`Calls external URL not in known-safe list
https://logic.art.Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Integrate LogicArt Code Review into daily stand-ups or sprint reviews to automatically analyze pull requests and new commits. It helps development teams quickly identify bugs and security vulnerabilities before merging, reducing technical debt and improving code quality in fast-paced environments.
Use this skill to perform automated security checks on codebases in banking or fintech industries. It scans for common vulnerabilities like injection flaws or insecure data handling, ensuring compliance with regulations such as PCI-DSS and protecting sensitive financial data from breaches.
Incorporate LogicArt Code Review into coding bootcamps or university computer science classes to provide students with instant feedback on assignments. It visualizes logic flow and highlights errors, helping learners understand complex concepts and improve their coding practices interactively.
Apply the skill to analyze and refactor outdated codebases during migration projects, such as moving from monolithic to microservices architectures. It identifies bugs and complexity hotspots, guiding developers in prioritizing refactoring efforts to enhance maintainability and performance.
Deploy this skill in CI/CD pipelines for e-commerce websites to automatically review code changes before deployment. It ensures that new features or updates do not introduce bugs or security issues, maintaining high availability and user trust during peak shopping seasons.
Offer tiered subscription plans (e.g., free, pro, enterprise) for access to the code review API and advanced features like full repository scans. Revenue is generated through monthly or annual fees, with higher tiers providing more analysis credits, priority support, and integration options.
Charge users based on the volume of code analyzed, such as per line of code or per API call. This model appeals to occasional users or small teams, allowing them to scale costs with usage while generating revenue from high-demand periods or large-scale projects.
Sell enterprise licenses that include on-premise deployment, custom integrations with existing tools, and dedicated support. Revenue comes from one-time license fees or annual contracts, targeting large organizations with strict security requirements or specific workflow needs.
💬 Integration Tip
Integrate this skill into CI/CD pipelines using the provided API or workflow-engine to automate code reviews on every commit, ensuring consistent quality checks without manual intervention.
Scored Jun 19, 2026
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Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
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