claude-code-for-ai-engineers-eval 是做什么的？
Claude Code 技能包的测试工具集
Claude Code 技能包的测试工具集
surpradhan/claude-code-for-ai-engineers-eval 是一个专为 Claude Code 技能包设计的测试工具集。该技能的主要用途是为开发者和 AI 工程师提供一个可靠的测试环境，用于验证和调试 Claude Code 技能包的功能与行为。它支持在 Claude Code 平台上运行，通过简单的命令行接口即可启动测试流程。其底层机制基于标准化的技能包结构，能够自动化执行测试用例并输出结果，帮助确保技能包的质量和一致性。对于参与 Claude Code 生态系统开发的工程师来说，这是一个必不可少的测试基础设施。
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Claude Code 技能包的测试工具集
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.