by 安全扫描
OpenClaw
安全
medium confidence安全扫描摘要：未提供
评估建议
安全评估：未提供...详细分析 ▾
✓ 用途与能力
The name, description, and the SKILL.md content consistently document SymPy usage (symbolic algebra, calculus, matrices, physics, code generation). No requested binaries, env vars, or install steps contradict the declared purpose.
ℹ 指令范围
The instructions stay within SymPy's domain (examples for symbolic math, code generation, printing, and Jupyter integration). However, the docs include examples that perform file writes (output.tex, output.py), pickle.dump/load, autowrap/compilation (cython/f2py), and mention srepr() which can be eval()'ed to recreate expressions. These are legitimate SymPy capabilities but can be dangerous if applied to untrusted input (code execution, native compilation, arbitrary file creation, or unsafe deserialization). The SKILL.md does not direct the agent to read unrelated system files or external endpoints, nor does it request credentials.
✓ 安装机制
No install spec is present (instruction-only skill). Nothing will be written to disk by the skill itself during install; risk depends on how the agent executes examples at runtime.
✓ 凭证需求
The skill requires no environment variables, credentials, or config paths. The requests (none) are proportionate to an instructional SymPy skill.
✓ 持久化与权限
always is false and the skill does not request persistent or elevated platform privileges. It does show patterns that could create files or compile code at runtime if the agent follows the examples, but that is a capability of SymPy examples, not a privileged installation behavior.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
安装命令
点击复制官方npx clawhub@latest install crystallographic-wyckoff-position-analysis-sympy
镜像加速npx clawhub@latest install crystallographic-wyckoff-position-analysis-sympy --registry https://cn.longxiaskill.com 镜像可用
技能文档
技能说明
本技能用于在 Python 环境中进行符号数学计算。
使用场景
- 符号表达式操作
- 代数方程求解
- 微积分运算（求导、积分）
- 矩阵运算
- 级数展开
基本用法
from sympy import
x = Symbol('x') expr = x2 + 2x + 1 simplified = simplify(expr) print(simplified)
注意事项
- 确保已安装 sympy 库
- 符号计算可能消耗较多计算资源
- 复杂表达式可能需要较长时间求解