check检查系统和Python环境,验证AI/ML及RAG开发所需工具、包、目录结构和配置是否完整,支持自动安装缺失依赖。
Install via ClawdBot CLI:
clawdbot install tilannlou/checkGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
/proc/Calls external URL not in known-safe list
https://github.com/yourusername/openclaw-dev-skillsAI Analysis
The skill performs legitimate environment checks and package installations, but the external call to an unspecified GitHub repository ('yourusername/openclaw-dev-skills') for an unknown purpose introduces a minor risk of code execution from an unverified source. No evidence of data exfiltration, credential harvesting, or hidden malicious instructions was found.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Data scientists use this skill to verify their local or cloud development environment has all necessary Python packages (e.g., TensorFlow, PyTorch) and system tools before starting new AI projects. It ensures dependencies like Git for version control and Docker for containerization are in place, reducing setup time and errors.
IT teams deploy Retrieval-Augmented Generation (RAG) applications by checking environment configurations, including API keys for services like OpenAI and proper directory structures. This skill automates validation to prevent deployment failures and maintain security compliance in production environments.
Instructors and students in academic settings use this skill to quickly set up uniform environments for AI/ML courses or workshops. It checks for essential tools and packages, allowing automatic installation of missing dependencies to ensure all participants have a consistent learning experience.
DevOps engineers integrate this skill into CI/CD pipelines to periodically validate environments for AI model training and inference. It monitors system tools, Python packages, and workspace structures, triggering alerts or auto-installations to maintain reliability and performance in automated workflows.
Offer this skill as part of a subscription-based platform for development teams, providing advanced features like team dashboards, historical environment reports, and priority support. Revenue is generated through monthly or annual per-user fees, targeting small to medium-sized AI-focused companies.
Sell enterprise licenses with customization options for large organizations, integrating the skill into existing tools and workflows. Revenue comes from one-time licensing fees or annual contracts, plus additional charges for tailored features like compliance checks and integration with proprietary systems.
Provide a free basic version for individual developers, with premium add-ons such as automated dependency updates, detailed analytics, and multi-environment support. Revenue is generated from upgrades and in-app purchases, appealing to hobbyists and professionals seeking enhanced functionality.
💬 Integration Tip
Integrate this skill into existing development workflows by using its JSON output to feed into monitoring tools or CI/CD pipelines, ensuring seamless environment validation without manual intervention.
Scored Apr 19, 2026
Control desktop applications on Windows — launch, close, focus, resize, move windows, simulate keyboard/mouse input, manage processes, control VSCode, read clipboard, and capture screen info. Use when the user wants to interact with any running program, switch windows, type text, press shortcuts, open files in VSCode, manage running processes, or get system display information.
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.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
Pragmatic coding standards for writing clean, maintainable code — naming, functions, structure, anti-patterns, and pre-edit safety checks. Use when writing new code, refactoring existing code, reviewing code quality, or establishing coding standards.
Claude Code integration for OpenClaw. This skill provides interfaces to: - Query Claude Code documentation from https://code.claude.com/docs - Manage subagents and coding tasks - Execute AI-assisted coding workflows - Access best practices and common workflows Use this skill when users want to: - Get help with coding tasks - Query Claude Code documentation - Manage AI-assisted development workflows - Execute complex programming tasks
Plan, draft, version, and refine written content with enforced versioning and quality audits.