Agent skill

Python Execution Fallback 9d4989

by HKUDS in HKUDS/OpenSpace

Fallback method for executing Python when executecodesandbox fails with unknown errors

MITAuto-check passed

Install Python Execution Fallback 9d4989

skills CLI
$ npx skills add HKUDS/OpenSpace --skill python-execution-fallback-9d4989 -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HKUDS/OpenSpace python-execution-fallback-9d4989 --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HKUDS/OpenSpace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/benchmarks/gdpval/skills/python-execution-fallback-9d4989 .claude/skills/python-execution-fallback-9d4989 && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
python-execution-fallback-9d4989
GitHub stars
7.7k
Token cost
~605 tokens
SKILL.md length
195 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Fallback method for executing Python when executecodesandbox fails with unknown errors

  • Works in 5 steps: Always use single quotes around EOF… → Test with a simple print statement first… → For longer scripts, consider writing to… → …
  • SKILL.md covers When to Use, Solution, Why This Works and Guidelines, plus 2 more sections
  • Calls python3

What it does

Python Execution Fallback 9d4989 is an agent skill from HKUDS/OpenSpace. Fallback method for executing Python when executecodesandbox fails with unknown errors

Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.

It works with Python. The repository describes itself as: "OpenSpace: The Skill Management Layer for AI Agents" -- https://open-space.cloud/. The licence is MIT.

Example prompts

  • “/python-execution-fallback-9d4989”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Always use single quotes around EOF ('EOF') to prevent variable expansion
  2. Test with a simple print statement first to verify Python is available
  3. For longer scripts, consider writing to a .py file first, then executing
  4. Capture stdout from run_shell to get Python output
  5. Handle errors by checking run_shell's stderr output

What it can do on your machine

Read from SKILL.md and the folder at commit 3827781. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Python Execution Fallback 9d4989 loads about 605 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 195 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~605

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from HKUDS/OpenSpace at commit 3827781, republished under its MIT licence (© HKUDS). 195 words, ~605 tokens.

Download SKILL.mdSave it as .claude/skills/python-execution-fallback-9d4989/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
python-execution-fallback-9d4989
description
Fallback method for executing Python when execute_code_sandbox fails with unknown errors

Python Execution Fallback

When to Use

Use this skill when execute_code_sandbox returns 'unknown error' or fails unexpectedly, even on simple Python code like print statements.

Solution

Switch to using run_shell with Python heredoc syntax instead of execute_code_sandbox.

Basic Syntax
bash
python3 << 'EOF'
# Your Python code here
print("Hello World")
result = 2 + 2
print(f"Result: {result}")
EOF
How to Call

Instead of:

python
execute_code_sandbox(code="print('Hello')")

Use:

python
run_shell(command="python3 << 'EOF'\nprint('Hello')\nEOF")

For multi-line code, build the command string:

python
code = """
import json
data = {"status": "ok", "count": 42}
print(json.dumps(data))
"""
run_shell(command=f"python3 << 'EOF'\n{code}\nEOF")

Why This Works

  • run_shell executes commands directly in the shell environment, bypassing sandbox issues
  • Heredoc syntax (<< 'EOF') allows clean multi-line Python code without complex escaping
  • Single quotes around EOF prevent unwanted shell variable expansion
  • More reliable for simple to moderate Python execution tasks

Guidelines

  1. Always use single quotes around EOF ('EOF') to prevent variable expansion
  2. Test with a simple print statement first to verify Python is available
  3. For longer scripts, consider writing to a .py file first, then executing:
    python
    run_shell(command="python3 /path/to/script.py")
  4. Capture stdout from run_shell to get Python output
  5. Handle errors by checking run_shell's stderr output

Example: Complete Workflow

python
# Step 1: Try execute_code_sandbox
try:
    result = execute_code_sandbox(code="print(2+2)")
except Exception as e:
    # Step 2: Fallback to run_shell with heredoc
    result = run_shell(command="python3 << 'EOF'\nprint(2+2)\nEOF")
    # Parse stdout to get the output
    output = result.stdout.strip()

Troubleshooting

IssueSolution
Python not foundUse which python3 to verify installation
Heredoc not workingEnsure single quotes around EOF delimiter
Complex imports failInstall required packages or write to .py file
Output not capturedCheck run_shell stdout, not return value

© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in benchmarks/gdpval/skills/python-execution-fallback-9d4989 of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

Python Execution Fallback 9d4989 next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Python Execution Fallback 9d4989 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Python Execution Fallback 9d4989 this skillHKUDS/OpenSpace7.7k—~605Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
PDF Processinganthropics/skills180k48 repos~2kAutomated safety check: PassProprietary
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k13 repos~2.4kAutomated safety check: NotesMIT
Manim Video Productionbrowser-use/video-use28k6 repos~3kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

Similar skills

  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 62 repos~2.3k tokens
    Agent WorkflowsAuto-check passed
  • PDF Processing

    anthropics/skills

    Official

    Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.

    180k GitHub starsUsed in 48 repos~2k tokens
    Documents & OfficeAuto-check passed
  • NotebookLM Research Assistant

    PleasePrompto/notebooklm-skill

    Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.

    7.8k GitHub starsUsed in 13 repos~2.4k tokens
    Knowledge ManagementAuto-check: notes
  • Manim Video Production

    browser-use/video-use

    Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.

    28k GitHub starsUsed in 6 repos~3k tokens
    Media & CreativeAuto-check passed
  • Code Review Checklist

    shareAI-lab/learn-claude-code

    Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

    78k GitHub starsUsed in 5 repos~1.1k tokens
    DevelopmentAuto-check passed
  • PPT Master

    hugohe3/ppt-master

    Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.

    58k GitHub starsUsed in 1 repo~2.5k tokens
    Documents & OfficeAuto-check passed

More from HKUDS/OpenSpace

All 199 skills in this repo
  • Walks through producing a master audio track plus stems in Python, from checking a reference file and timing sections by BPM to effects, a zip archive and final verification.

    7.7k GitHub stars~2.9k tokensUpdated 1 mo ago
    Auto-check passed
  • Handle cascading data retrieval tool failures by falling back to embedded knowledge generation

    7.7k GitHub stars~765 tokensUpdated 1 mo ago
    Auto-check passed
  • Gives an agent a workaround when its code-execution sandbox keeps failing: save the Python script to a file and run it through the shell instead.

    7.7k GitHub stars~588 tokensUpdated 1 mo ago
    Auto-check passed
  • A recovery routine for agents whose sandboxed code runner keeps failing: save the Python script to disk, then run it through the shell and read the output.

    7.7k GitHub stars~652 tokensUpdated 1 mo ago
    Auto-check passed
  • Fallback ladder for failed sandboxed code runs, plus the habit of fixing the working directory first so generated files land in the right place.

    7.7k GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed
  • Fallback workflow for executing Python code when executecodesandbox fails repeatedly

    7.7k GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed

Works with

Questions about Python Execution Fallback 9d4989

What does Python Execution Fallback 9d4989 do?

Fallback method for executing Python when executecodesandbox fails with unknown errors. Python Execution Fallback 9d4989 is an agent skill from HKUDS/OpenSpace.

How do I install Python Execution Fallback 9d4989 in Claude Code?

Run `npx skills add HKUDS/OpenSpace --skill python-execution-fallback-9d4989 -a claude-code`. Or copy the skill folder (benchmarks/gdpval/skills/python-execution-fallback-9d4989 in HKUDS/OpenSpace) into .claude/skills/python-execution-fallback-9d4989 in your project. Claude Code loads it when a task matches its description.

How do I install Python Execution Fallback 9d4989 in Codex?

Run `npx skills add HKUDS/OpenSpace --skill python-execution-fallback-9d4989 -a codex`. Or copy the skill folder (benchmarks/gdpval/skills/python-execution-fallback-9d4989 in HKUDS/OpenSpace) into .agents/skills/python-execution-fallback-9d4989 in your project. Codex loads it when a task matches its description.

Can I use Python Execution Fallback 9d4989 in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/OpenSpace --skill python-execution-fallback-9d4989 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-execution-fallback-9d4989, .gemini/skills/python-execution-fallback-9d4989, .github/skills/python-execution-fallback-9d4989 and .opencode/skills/python-execution-fallback-9d4989 in your project.

What does Python Execution Fallback 9d4989 need to run?

Going by SKILL.md and its folder, Python Execution Fallback 9d4989 needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Python Execution Fallback 9d4989 access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Python Execution Fallback 9d4989 safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Python Execution Fallback 9d4989 use?

Python Execution Fallback 9d4989 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Python Execution Fallback 9d4989 use?

About 605 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Python Execution Fallback 9d4989?

Skills that share tags, products or a category with Python Execution Fallback 9d4989: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Python Execution Fallback 9d4989?

HKUDS (a GitHub organization) maintains it in HKUDS/OpenSpace, which has 7,743 GitHub stars. The repository holds 199 skills in this directory. The repository was last updated on August 12, 2026.

Source: HKUDS/OpenSpace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.