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Execute Python code snippets in a sandboxed environment. Supports data analysis, visualization, and quick scripts.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | code-runner |
| description | Execute Python code snippets in a sandboxed environment. Supports data analysis, visualization, and quick scripts. |
| version | 1.0.0 |
| metadata | {"echo":{"tags":["Python","Code","Execute","Sandbox","DataAnalysis"]}} |
Safe Python code execution with resource limits and import restrictions.
python3 scripts/safe_exec.py "print(sum(range(100)))"
python3 scripts/safe_exec.py --file script.py
python3 scripts/safe_exec.py --timeout 10 "import time; time.sleep(5); print('done')"
Best-effort guards (NOT a true sandbox — code can still read the filesystem):
os.system, subprocess, shutil.rmtree, __import__('os')Limitations: This is NOT a security sandbox. The child process can read arbitrary files on the host filesystem. For untrusted code, use a container-based executor (e.g., docker-manage skill) instead.
Safe for use (common data/analysis):
math, statistics, decimal, fractionsjson, csv, re, datetime, collectionspandas, numpy (if installed)matplotlib (saves to file, no display)BLOCKED = [
"os.system", "os.exec", "os.popen", "os.remove",
"subprocess", "shutil.rmtree", "importlib",
"__import__", "eval(", "exec(",
"open('/etc", "open('/root",
]
Data analysis:
import pandas as pd
df = pd.read_csv("/tmp/data.csv")
print(df.describe())
print(df.groupby("category")["amount"].sum())
Quick plot (saved to file):
import matplotlib.pyplot as plt
plt.plot([1,2,3,4], [1,4,2,3])
plt.savefig("/tmp/plot.png")
print("Plot saved to /tmp/plot.png")
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