data-analysis
data-analysis is an Exploratory analysis & notebooks skill for AI agents, published by opencmit in the alphora repository on GitHub. Skillspace rates data-analysis B (82/100) and it passed the safety scan; the rating is based on static analysis only.
当任务以表格数据为中心（CSV/Excel/TSV/JSON/Parquet）并需要分析、清洗、聚合、可视化、导出时，必须使用本技能。该技能强调人类数据分析师式流程：先多轮探查数据，再分段写小块 Python 代码逐步求解。禁止跳过探查直接编码，禁止一次写大段复杂代码。
- Grade
- B
- Quality
- 82 / 100
- Safety
- Passed
- GitHub stars
- 347
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B 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
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 91 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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