wallacedobbs428/python-executor
.claude/skills/python-executor/SKILL.md
Sandboxed Python code execution via inference.sh. Run Python scripts with 100+ pre-installed libraries for web scraping, data processing, visualization, image manipulation, video editing, and 3D modeling. CPU-only, non-interactive.
development
Updated Apr 17, 2026
$ install --global
skillsauthnpx skillsauth add wallacedobbs428/thecalltaker python-executorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 17, 2026, 5:13 AM15.4s1 file scanned
SKILL.md
- name:
- python-executor
- description:
- Sandboxed Python code execution via inference.sh. Run Python scripts with 100+ pre-installed libraries for web scraping, data processing, visualization, image manipulation, video editing, and 3D modeling. CPU-only, non-interactive.
- allowed-tools:
- Bash(infsh *)
Python Code Executor
Execute Python code in a safe, sandboxed environment with 100+ pre-installed libraries via the inference.sh CLI.
Quick Start
infsh app run python-executor --input '{"code": "print(\"Hello World\")"}'
Capabilities
- Python 3.10 runtime
- Configurable RAM: 8GB default, 16GB high-memory option
- Adjustable timeout: 1-300 seconds (30-second default)
Pre-installed Libraries
- Web scraping: requests, BeautifulSoup, Selenium
- Data processing: NumPy, Pandas, SciPy
- Visualization: Matplotlib, Seaborn, Plotly
- Image manipulation: Pillow, OpenCV
- Video editing: MoviePy
- 3D modeling: trimesh, Open3D
Output Files
Files saved to the outputs/ directory are automatically returned.
Important Limitations
- CPU-only — no GPU, no ML model inference
- Non-interactive — visualizations must use
savefig()rather than interactive display methods - Focuses on traditional data processing, automation, and content manipulation
Use Cases
Web scraping, data analysis, image processing, video creation, 3D work, API integration, PDF generation, and general automation tasks.
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