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    "summary_en": "Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain formats are reference-only and unknown formats fail closed.",
    "summary_zh": "对明确支持的科学文件执行有界、本地的探索性分析。适用于脱敏的CSV/TSV/JSON配置文件；可选的NumPy、HDF5、FASTA/FASTQ和基本图像元数据检查；缺失性/泄漏审计；离群值和变换敏感性；以及严谨的EDA报告框架。其他领域格式仅供参考，未知格式则失败关闭。",
    "description_en": "This Agent Skill provides a bounded, local exploratory data analysis capability for explicitly supported scientific file formats. It includes automated core support for CSV/TSV and strict JSON, optional automated support for NumPy arrays, HDF5 metadata, FASTA/FASTQ sequence metadata, and basic image metadata (PNG/JPEG/TIFF/OME-TIFF). The skill enforces strict safety boundaries: it treats all data as untrusted, rejects network access, limits file sizes and traversal, and never executes embedded content. It provides scripts for capability manifest inspection, tabular profiling, missingness/leakage audits, distribution/outlier/transformation sensitivity, sequence/image metadata inspection, and report scaffolding. It requires Python 3.11+ for core tools and Python 3.12+ for optional dependencies. The skill is designed for use on authorized local data only and explicitly fails closed for unsupported formats.",
    "description_zh": "该Agent技能为明确支持的科学文件格式提供有界、本地的探索性数据分析能力。包括对CSV/TSV和严格JSON的自动化核心支持，以及对NumPy数组、HDF5元数据、FASTA/FASTQ序列元数据和基本图像元数据（PNG/JPEG/TIFF/OME-TIFF）的可选自动化支持。该技能强制执行严格的安全边界：将所有数据视为不可信，拒绝网络访问，限制文件大小和遍历，并且绝不执行嵌入内容。它提供用于能力清单检查、表格概要、缺失性/泄漏审计、分布/离群值/变换敏感性、序列/图像元数据检查和报告框架的脚本。核心工具需要Python 3.11+，可选依赖需要Python 3.12+。该技能设计仅用于授权的本地数据，并对不支持的格式明确失败关闭。",
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