open-feed-recsys-labReview open feed recommendation repositories with source-backed evidence, artifact-readiness checks, and cautious architecture summaries. Use when a user ask...
Install via ClawdBot CLI:
clawdbot install zack-dev-cm/open-feed-recsys-labGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/xai-org/x-algorithm`.Audited Jun 4, 2026 · audit v1.0
Generated Jul 29, 2026
A user claims a public recommender system achieves high performance; you need to inspect the source code to verify if those claims are supported by the open repository or if they are overblown. This skill helps separate evidence from hype, ensuring grounded decisions.
A team wants to publish an analysis of the X algorithm or a similar open-source recommendation framework. They need a structured report that lists supported claims, missing artifacts, and architectural insights, without overpromising on production readiness.
A company is evaluating open-source recommendation systems (e.g., Phoenix, Thunder) to decide which to adopt or learn from. The skill provides a cautious architecture summary, noting which components are reproducible and which are not.
Before integrating an open-source model like Phoenix, you need to check if all required artifacts (e.g., model_params.npz, config files) are available. The skill identifies missing components that block execution.
When a thread or article makes bold claims about a recommendation algorithm's inner workings, use this skill to audit those claims against the public source. It helps avoid spreading misinformation.
Offer expert review services to companies that need an unbiased, source-based analysis of open-source recommendation systems before making adoption or investment decisions.
Develop a platform that automatically runs this review workflow on any public repository, generating reports on supported claims, artifact readiness, and architecture maps, sold as a subscription.
Publish in-depth, verified reports on popular open-source recommendation systems, charging a premium for access or offering a freemium model with detailed architecture insights and evidence ledgers.
💬 Integration Tip
Integrate with a GitHub API client to automatically fetch repository metadata and file listings, and cache results to speed up repeated analysis of the same repo.
Scored Jun 4, 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.