skill-grader 是做什麼的？
根據生產級品質評分標準（3 道硬門檻 + 六維加權評分）對代理技能進行評分。生成基於證據的 LLM-as-judge 報告。
根據生產級品質評分標準（3 道硬門檻 + 六維加權評分）對代理技能進行評分。生成基於證據的 LLM-as-judge 報告。
此技能提供一個自動化評分系統，用於評估 AI 代理技能（例如 Claude Code、Cursor、Codex 的技能）的品質。它實施基於 LLM 的評審流程，首先套用三個「硬門檻」檢查（如最低文件完整性、可重現性），通過後再根據六個維度進行加權評分，包括正確性、清晰度、效率、可維護性、可測試性和安全性。該技能會生成詳細的、基於證據的報告，其中包含每個維度的評分、理由以及具體的改進建議。支援多個 LLM 平台，並可透過提供技能存放庫路徑來執行。對於確保代理技能符合生產環境的高標準、促進開發最佳實踐以及作為 CI/CD 流程的一部分自動化品質管控非常有用。
npx skills add yt2102/skill-graderInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
根據生產級品質評分標準（3 道硬門檻 + 六維加權評分）對代理技能進行評分。生成基於證據的 LLM-as-judge 報告。
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.