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code-runner

@noesskeetit⭐ 0 stars

Use this skill when you need to execute Python or JavaScript code. Supports data analysis (pandas, numpy, scipy), visualization (matplotlib, seaborn), web prototyping (React, Tailwind), and general scripting. Output includes stdout, stderr, and any generated files (images, data files). Isolation (network, filesystem) is the responsibility of the runtime environment.

Choose how to use this skill

You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.

Adopt or update this skill from https://proskills.md/skills/other/noesskeetit-openclaw-skills-for-valery-code-runner. First identify the installation path supported by this platform, detect whether it is already installed, compare the installed version with the latest stable release, show me what will change, and only then install or update it. If no native installer is available, use the complete package or source fallback described on the page.

1. Native installer

This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.

Do not guess an installer command or replace an existing version without reviewing the diff.

2. Complete package recommended

Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.

No complete ProSkills package is published for this listing yet.

3. Prompt-only

Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.

Need only the instruction file?

Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.

No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.

—/10

// RATINGS

⭐GitHub Stars

⭐ 0 on GitHubGitHub ↗

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🟢ProSkills Score

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📍

Not yet listed on ClawHub or SkillsMP

// README

OpenClaw Skills

A set of agent-agnostic skills for coding agents (OpenClaw, Claude Code, Cursor, Cline, Aider, etc.). Each skill is a self-contained folder with a SKILL.md (YAML frontmatter + instructions) and a scripts/ directory of executables the agent can call.

No Docker images, no gateway service, no external runtime — just markdown + scripts. The host environment is responsible for installing dependencies and providing isolation.

Skills

Skill	Purpose	Heavy deps
code-runner	Execute Python or JavaScript with stdout/stderr/file capture	pandas, numpy, matplotlib (~420 MB venv)
diagram-generator	Mermaid + Graphviz → SVG/PNG/PDF	graphviz binary, mermaid-cli (~470 MB Chromium cache)
document-analyzer	Read/extract/OCR PDF, DOCX, XLSX, PPTX, CSV; PDF form filling	tesseract, poppler, ghostscript
document-creator	Create and validate DOCX, XLSX, PPTX, PDF; OOXML schema validation	python-docx, openpyxl, pptx, reportlab, OOXML XSD schemas (bundled)
git-assistant	Commits, code review, PR descriptions	stdlib only
web-browser	Browser automation: navigate, screenshot, fill forms via Playwright	playwright + Chromium (~525 MB)
web-search-searxng	Meta-search via self-hosted SearXNG (auto-bootstraps its container)	docker daemon access
web-search-tavily	AI-optimized search via Tavily API	stdlib only, requires `TAVILY_API_KEY`

Skill format

skill-name/
├── SKILL.md           # YAML frontmatter + instructions for the agent
├── requirements.txt   # Python deps (when applicable)
└── scripts/           # executables the agent invokes

SKILL.md starts with a YAML block:

---
name: skill-name
description: "When to use this skill, what it does, what it does NOT do."
license: MIT
---

The description is what the agent reads to decide when to invoke the skill. The body explains how to use the scripts.

Install a single skill

cd skill-name
pip install -r requirements.txt   # if present
# install any system deps listed in SKILL.md (tesseract, graphviz, ...)

For skills that ship their own service (currently only web-search-searxng), the script auto-starts the container on first call — no manual setup needed beyond a working docker daemon.

Resource footprint

Designed to coexist on a small VM (≥2 GB RAM, ~10 GB disk). Heaviest skills:

web-browser — peak ~375 MB RAM per Chromium session
diagram-generator — peak ~500 MB-1 GB during Mermaid render
document-analyzer — up to ~1 GB on large PDFs with OCR
web-search-searxng — ~200-300 MB resident as background container

Run heavy skills serially on constrained hardware.

Adding a new skill

Create your-skill/ with SKILL.md and scripts/
Use the YAML frontmatter format above
Make description tell the agent when and when NOT to use the skill
Document each script's CLI in SKILL.md
Pin major versions in requirements.txt if Python deps are involved

License

MIT — see LICENSE.

// HOW IT'S BUILT

KEY FILES

code-runner/SKILL.mdREADME.md

// REPO STATS

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