Data
DocumentsdataData is an Agent Skill for documents published in the Zafer-Liu/Data-Analysis-Agent repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
查看数据结构、质量和可分析性
QUICK START
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/Zafer-Liu/Data-Analysis-Agent/blob/HEAD/skills/data/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/data, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
数据诊断
先获取 schema 和必要样本,报告表规模、字段类型、缺失、重复、异常、时间范围和关键分布。区分事实、风险与建议,指出可直接分析的字段及需要用户确认的口径。
Tool routing
- Use
get_schemafirst to inspect tables, fields, row counts, and source structure. - Use
get_table_detailwhen one table needs deeper field-level metadata. - Use
profile_datafor data quality, missingness, type, and distribution diagnostics. - Use
query_datafor small verification samples or targeted aggregates. - Use
generate_chartonly when a compact diagnostic chart materially helps explain the data.
Implementation reference
- Data tool entries:
agent/tools/business/data.py - Profiling implementation:
Function/Clean/data_profile.py - Chart implementation:
Function/Charts_generation/chart_generate.py