技能详情（站内镜像，无评论）
作者：Alireza Rezvani @alirezarezvani
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v2.1.1
统计：⭐ 6 · 2.5k · 13 current installs · 15 all-time installs
⭐ 6
安装量（当前） 15
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：alirezarezvani/senior-data-scientist
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code, docs, and instructions are consistent with a senior data scientist helper; there are minor mismatches (mentions of R/SQL and MLflow but no corresponding implementation or declared credentials), but nothing indicates malicious intent.
目的
Name/description (A/B test design, feature engineering, model evaluation) match the included guidance, reference docs, and Python helper scripts. The provided scripts and checklists align with the stated data-science purpose.
说明范围
SKILL.md contains code examples and checklists that stay within the domain of experiment design and ML pipelines. It references use of Python, R, SQL and MLflow; however, the distributed code files are Python-only and do not implement MLflow or R/SQL-specific behavior. Instructions do not request or access system secrets or external endpoints directly.
安装机制
No install spec (instruction-only) and included scripts are plain Python files. There is no download-from-URL or package installation specified by the skill itself, which minimizes install-time risk. The code does reference third-party Python libraries (scikit-learn, xgboost, mlflow) but the skill does not attempt to install them.
证书
The skill declares no required environment variables or credentials, which is proportional to the static code (no network/auth usage). One caveat: SKILL.md mentions MLflow (which in real use often requires a tracking URI/credentials) and R/SQL usage, but the package does not declare or request any MLflow or database credentials—users will need to provide these if they integrate tracking or data sources themselves.
持久
Skill is not always-enabled and is user-invocable; it does not request elevated privileges or modify other skills/config. The scripts are simple command-line tools that read input/output paths provided at runtime; they do not install persistent agents or write system-wide configuration.
综合结论
This skill appears to be a legitimate senior data-science helper, but review a few practical points before installing or running it: - Review the included Python scripts: they are simple, well-logged stubs whose _execute() functions currently return success and contain placeholders rather than full production logic. Expect to supply your own implementation or data-processing logic. - Dependencies: the docs mention NumPy, Pandas, Scikit-learn, …
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Senior Data Scientist」。简介：World-class senior data scientist skill specialising in statistical modeling, e…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/alirezarezvani/senior-data-scientist/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
暂无本地缓存内容，可在后台执行详情同步。