paper-reading

paper-reading is a Literature review & citations skill for AI agents, published by Immortalqx in the my_codex_skills repository on GitHub. Skillspace rates paper-reading C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Deep, critical paper-reading workflow that produces a structured reading note. Use when the user wants to read, understand, summarize, break down, or take notes on a single research paper. English triggers: "read this paper", "read the paper", "paper reading", "paper notes", "deeply read", "critically read", "summarize this paper", "break down the paper", "explain this paper", "walk me through this paper", "help me understand this paper". Chinese triggers: "读论文", "精读论文", "理解论文", "拆解 论文", "整理论文笔记", "帮我看这篇论文", "分析这篇论文". Also triggers when the user hands over a .pdf, an arXiv URL or ID, or a paper title and asks for deep understanding. NOT for quick one-paragraph overviews (use alphaxiv), broad literature surveys (use research-lit), or simulated peer review (use mock-review).

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

45

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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