raccoon-dataanalysis
raccoon-dataanalysis is an Exploratory analysis & notebooks skill for AI agents, published by SenseTime-Copilot in the raccoon-dataanalysis-skill repository on GitHub. Skillspace rates raccoon-dataanalysis D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Raccoon (小浣熊) Data Analysis - Remote code interpreter and data visualization service powered by SenseTime. Upload files (Excel, CSV, etc.) for AI-driven analysis, chart generation, and automated insights. Supports data analysis sessions, file upload/download, visualization, and multi-turn conversations. Keywords: raccoon, data analysis, code interpreter, visualization, 小浣熊, 数据分析, 代码解释器, 数据可视化.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 175
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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