spearman-correlation

计算两个表格之间的 Spearman 相关性，并输出 FDR 校正后的结果。适用于微生物组数据（如 Family 丰度表与环境因子/功能基因表）的相关性分析。

This skill appears coherent and focused on computing Spearman correlations and FDR-corrected p-values for paired tabular inputs. Before installing or running it, consider: (1) ensure your agent/runtime has Python 3 and the listed packages (pandas, scipy, statsmodels, openpyxl) in a controlled environment (virtualenv/conda) — the skill does not provide installation steps; (2) the agent will read whatever files you point it at, so do not supply sensitive or unrelated files; (3) outputs are written as .xlsx files—decide where those files may be stored; (4) for large datasets or many file pairs, computations may be slow or memory-intensive; (5) verify that sample/column names match across tables before running to avoid misleading results. If you want the skill to install missing packages automatically, request an install spec or add installation steps and vet their sources.

Type: OpenClaw Skill Name: spearman-correlation Version: 1.0.0 The skill is designed for statistical analysis, specifically calculating Spearman correlation and FDR correction for microbiome or environmental data. The instructions in SKILL.md outline a standard data science workflow using common Python libraries (pandas, scipy, statsmodels) and do not contain any indicators of malicious intent, data exfiltration, or unauthorized execution.