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Agent skill

Code Execution Fallback E81068

by HKUDS in HKUDS/OpenSpace

Fallback workflow for executing Python code when executecodesandbox fails repeatedly

MITAuto-check passed

Install Code Execution Fallback E81068

skills CLI
$ npx skills add HKUDS/OpenSpace --skill code-execution-fallback-e81068 -a claude-code

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

GitHub CLI
$ gh skill install HKUDS/OpenSpace code-execution-fallback-e81068 --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/code-execution-fallback-e81068 .claude/skills/code-execution-fallback-e81068 && 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
code-execution-fallback-e81068
GitHub stars
7.7k
Token cost
~1.1k tokens
SKILL.md length
393 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Fallback workflow for executing Python code when executecodesandbox fails repeatedly

  • Works in 5 steps: Detect Repeated Failures → Write the Python Script to File → Execute via Shell → …
  • SKILL.md covers When to Use, Step-by-Step Instructions, Complete Example and Troubleshooting, plus 2 more sections
  • Calls python3 and python

What it does

Code Execution Fallback E81068 is an agent skill from HKUDS/OpenSpace. Fallback workflow for executing Python code when executecodesandbox fails repeatedly

Its SKILL.md is about 1.1k 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

  • “/code-execution-fallback-e81068”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Detect Repeated Failures
  2. Write the Python Script to File
  3. Execute via Shell
  4. Verify Output and Results
  5. Clean Up (Optional)

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
    • python

    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

Code Execution Fallback E81068 loads about 1.1k tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 393 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 393 words, ~1,056 tokens.

Download SKILL.mdSave it as .claude/skills/code-execution-fallback-e81068/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
code-execution-fallback-e81068
description
Fallback workflow for executing Python code when execute_code_sandbox fails repeatedly

Code Execution Fallback Workflow

When to Use

Use this skill when execute_code_sandbox fails repeatedly (2+ attempts) with unknown, persistent, or unexplained errors. This fallback approach uses write_file + run_shell to save Python scripts to disk and execute them via command line, which has proven more reliable in certain failure scenarios.

Step-by-Step Instructions

Step 1: Detect Repeated Failures

Monitor execute_code_sandbox attempts. After 2 consecutive failures with errors like:

  • "Unknown error"
  • Timeout errors
  • Unexplained execution failures
  • Sandbox environment issues

Switch to the fallback workflow immediately.

Step 2: Write the Python Script to File

Use write_file to save your Python code as a .py file in the working directory:

python
write_file(
    path="script.py",
    content="""
import sys
import json

# Your Python code here
def main():
    # Your logic
    result = {"status": "success", "data": "example"}
    print(json.dumps(result))

if __name__ == "__main__":
    main()
"""
)

Tips:

  • Use clear, self-contained code that doesn't rely on sandbox-specific paths
  • Include error handling and informative print statements
  • Save output to files if needed for later retrieval
Step 3: Execute via Shell

Use run_shell to execute the Python script via command line:

python
run_shell(
    command="python3 script.py",
    timeout=60  # Adjust timeout as needed
)

Alternative commands:

  • python script.py - if python3 alias isn't available
  • python3 -u script.py - for unbuffered output
  • python3 script.py arg1 arg2 - with arguments
Step 4: Verify Output and Results

Check the stdout/stderr from run_shell to:

  • Confirm execution succeeded (exit code 0)
  • Inspect printed output or results
  • Identify any new errors (different from sandbox errors)

If the script writes output files, use read_file to retrieve results.

Step 5: Clean Up (Optional)

Remove temporary script files if they won't be reused:

python
run_shell(command="rm script.py")

Complete Example

Scenario: execute_code_sandbox failed twice while trying to process data.

Fallback execution:

python
# Step 1: Write the processing script
write_file(
    path="process_data.py",
    content="""
import pandas as pd
import json

def process():
    data = [1, 2, 3, 4, 5]
    result = {"sum": sum(data), "count": len(data)}
    print(json.dumps(result))
    
    # Also save to file for reliability
    with open("result.json", "w") as f:
        json.dump(result, f)

if __name__ == "__main__":
    process()
"""
)

# Step 2: Execute via shell
output = run_shell(command="python3 process_data.py")

# Step 3: Read results from file
results = read_file(file_path="result.json", filetype="json")
Show full SKILL.md (156 more words)Show less

Troubleshooting

IssueSolution
python3: command not foundTry python instead, or check available interpreters with which python
Permission deniedEnsure the working directory is writable; write_file creates files in workspace by default
Module not foundInstall dependencies via run_shell(command="pip install package_name") before execution
Script hangsIncrease timeout parameter in run_shell
Output too longRedirect output to file within the script and read it separately

Best Practices

  1. Always include error handling in scripts to capture failures gracefully
  2. Write results to files in addition to printing, for reliable retrieval
  3. Use descriptive filenames to avoid conflicts (e.g., task_specific_script.py)
  4. Keep scripts self-contained - avoid dependencies on sandbox environment variables
  5. Log execution details for debugging: print(f"Step X complete: {value}")

When NOT to Use This Fallback

  • When sandbox isolation is required for security
  • When the task explicitly requires execute_code_sandbox
  • When execute_code_sandbox succeeds consistently (no need to add complexity)
  • When working with sensitive data that shouldn't persist to disk

© 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/code-execution-fallback-e81068 of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

Code Execution Fallback E81068 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.

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NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k14 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

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Works with

Questions about Code Execution Fallback E81068

What does Code Execution Fallback E81068 do?

Fallback workflow for executing Python code when executecodesandbox fails repeatedly. Code Execution Fallback E81068 is an agent skill from HKUDS/OpenSpace.

How do I install Code Execution Fallback E81068 in Claude Code?

Run `npx skills add HKUDS/OpenSpace --skill code-execution-fallback-e81068 -a claude-code`. Or copy the skill folder (benchmarks/gdpval/skills/code-execution-fallback-e81068 in HKUDS/OpenSpace) into .claude/skills/code-execution-fallback-e81068 in your project. Claude Code loads it when a task matches its description.

How do I install Code Execution Fallback E81068 in Codex?

Run `npx skills add HKUDS/OpenSpace --skill code-execution-fallback-e81068 -a codex`. Or copy the skill folder (benchmarks/gdpval/skills/code-execution-fallback-e81068 in HKUDS/OpenSpace) into .agents/skills/code-execution-fallback-e81068 in your project. Codex loads it when a task matches its description.

Can I use Code Execution Fallback E81068 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 code-execution-fallback-e81068 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-execution-fallback-e81068, .gemini/skills/code-execution-fallback-e81068, .github/skills/code-execution-fallback-e81068 and .opencode/skills/code-execution-fallback-e81068 in your project.

What does Code Execution Fallback E81068 need to run?

Going by SKILL.md and its folder, Code Execution Fallback E81068 needs the command-line tools its instructions call (python3 and python). Our summary lists: Python 3.

Does Code Execution Fallback E81068 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 Code Execution Fallback E81068 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 Code Execution Fallback E81068 use?

Code Execution Fallback E81068 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 Code Execution Fallback E81068 use?

About 1.1k tokens (SKILL.md is roughly 4.2k 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 Code Execution Fallback E81068?

Skills that share tags, products or a category with Code Execution Fallback E81068: 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 Code Execution Fallback E81068?

HKUDS (a GitHub organization) maintains it in HKUDS/OpenSpace, which has 7,749 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.