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Agent skill

Sandbox Execution Fallback

by HKUDS in HKUDS/OpenSpace

Recover from executecodesandbox failures by writing Python scripts to files and executing via runshell

MITAuto-check passedDocuments & Office

Install Sandbox Execution Fallback

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

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

GitHub CLI
$ gh skill install HKUDS/OpenSpace sandbox-execution-fallback --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/sandbox-execution-fallback .claude/skills/sandbox-execution-fallback && 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
sandbox-execution-fallback
GitHub stars
7.7k
Token cost
~741 tokens
SKILL.md length
237 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Recover from executecodesandbox failures by writing Python scripts to files and executing via runshell

  • Works in 4 steps: Capture the Python Code → Write Code to File → Execute via run_shell → …
  • Documents & Office work in your project
  • SKILL.md covers When to Use, Recovery Procedure, Complete Example and Why This Works, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sandbox Execution Fallback is an agent skill from HKUDS/OpenSpace. Recover from executecodesandbox failures by writing Python scripts to files and executing via runshell

Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.

It sits in Documents & Office. 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.

When your agent uses it

  • Documents & Office work in your project

Example prompts

  • “/sandbox-execution-fallback”

Requirements

  • Python 3

Workflow steps

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

  1. Capture the Python Code
  2. Write Code to File
  3. Execute via run_shell
  4. Verify 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Sandbox Execution Fallback loads about 741 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 237 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~741

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). 237 words, ~741 tokens.

Download SKILL.mdSave it as .claude/skills/sandbox-execution-fallback/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
sandbox-execution-fallback
description
Recover from execute_code_sandbox failures by writing Python scripts to files and executing via run_shell

Sandbox Execution Fallback

When to Use

Apply this pattern when execute_code_sandbox fails or times out, particularly for:

  • Spreadsheet generation (pandas, openpyxl, xlsxwriter)
  • Complex data processing with file I/O
  • Tasks requiring external library imports
  • Long-running computations that hit timeout limits

Recovery Procedure

Step 1: Capture the Python Code

Extract or reconstruct the Python code that failed in execute_code_sandbox.

Step 2: Write Code to File

Use write_file to save the script with a .py extension:

write_file(
    path="script_name.py",
    content="""
import pandas as pd
# Your implementation here
"""
)
Step 3: Execute via run_shell

Run the script using the system Python interpreter:

run_shell(command="python3 script_name.py")
Step 4: Verify Output

Confirm the results match expected outputs (files created, data processed correctly, etc.).

Complete Example

# Failed: execute_code_sandbox with pandas Excel generation

# Recovery - Step 1 & 2: Write script to file
write_file(
    path="generate_pnl_report.py",
    content="""
import pandas as pd
from openpyxl import Workbook

# Create sample data
data = {
    'Category': ['Revenue', 'Expenses', 'Tax'],
    'Amount': [10000, 3000, 500]
}
df = pd.DataFrame(data)

# Write to Excel
df.to_excel('pnl_report.xlsx', index=False)
print('Report generated: pnl_report.xlsx')
"""
)

# Step 3: Execute via shell
run_shell(command="python3 generate_pnl_report.py")

# Step 4: Verify file was created
run_shell(command="ls -la pnl_report.xlsx")

Why This Works

Aspectexecute_code_sandboxrun_shell + write_file
EnvironmentSandboxed, limitedFull system Python
File I/ORestrictedFull access
TimeoutStrict limitsMore flexible
Library SupportMay be limitedSystem-installed packages
ResultIdentical outputIdentical output

Best Practices

  1. Use descriptive filenames - e.g., generate_report.py, process_data.py
  2. Add error handling - Include try/except blocks in your script
  3. Print progress - Use print statements for debugging
  4. Clean up - Remove temporary scripts after successful execution if needed
  5. Verify results - Always confirm outputs before proceeding

Common Use Cases

  • Excel/CSV report generation
  • Data transformation pipelines
  • Batch file processing
  • API data aggregation
  • Chart and visualization creation

Troubleshooting

If run_shell also fails:

  1. Check Python is available: run_shell(command="python3 --version")
  2. Install missing packages: run_shell(command="pip3 install pandas openpyxl")
  3. Check file permissions and paths
  4. Review stderr output for specific errors

© 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/sandbox-execution-fallback of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

Sandbox Execution Fallback 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.

Sandbox Execution Fallback compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sandbox Execution Fallback this skillHKUDS/OpenSpace7.7k—~741Automated safety check: PassMIT
Word Document Reader and WriterHKUDS/DeepTutor41k—~2.5kAutomated safety check: PassApache-2.0
Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences2742 repos~2.7kAutomated safety check: PassApache-2.0
Word DOCX ToolkitTokenRhythm/opensquilla7.1k—~1.7kAutomated safety check: PassApache-2.0
Markdown to HTML ReportMegaSuperKitty/WeClaw370—~456Automated safety check: PassMIT
Mathmodel SkillhandsomeZR-netizen/mathmodel-skill292—~2.5kAutomated safety check: PassMIT

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Works with

Categories

Questions about Sandbox Execution Fallback

What does Sandbox Execution Fallback do?

Recover from executecodesandbox failures by writing Python scripts to files and executing via runshell. Sandbox Execution Fallback is an agent skill from HKUDS/OpenSpace.

When should I use Sandbox Execution Fallback?

Sandbox Execution Fallback fits situations like: documents & Office work in your project.

How do I install Sandbox Execution Fallback in Claude Code?

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

How do I install Sandbox Execution Fallback in Codex?

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

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

What does Sandbox Execution Fallback need to run?

SKILL.md names no scripts, command-line tools or credentials: Sandbox Execution Fallback is instructions for the agent only. Our summary lists: Python 3.

Does Sandbox Execution Fallback 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 Sandbox Execution Fallback 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 Sandbox Execution Fallback use?

Sandbox Execution Fallback 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 Sandbox Execution Fallback use?

About 741 tokens (SKILL.md is roughly 3k 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 Sandbox Execution Fallback?

Skills that share tags, products or a category with Sandbox Execution Fallback: Word Document Reader and Writer (HKUDS/DeepTutor, 41k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Word DOCX Toolkit (TokenRhythm/opensquilla, 7.1k stars) and Markdown to HTML Report (MegaSuperKitty/WeClaw, 370 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sandbox Execution Fallback?

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.