Agent skill

Sandbox Execution Fallback 238489

by HKUDS in HKUDS/OpenSpace

Fallback pattern for when executecodesandbox fails - write script to file and execute directly with runshell

MITAuto-check passedDocuments & Office

Install Sandbox Execution Fallback 238489

skills CLI
$ npx skills add HKUDS/OpenSpace --skill sandbox-execution-fallback-238489 -a claude-code

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

GitHub CLI
$ gh skill install HKUDS/OpenSpace sandbox-execution-fallback-238489 --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-238489 .claude/skills/sandbox-execution-fallback-238489 && 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-238489
GitHub stars
7.8k
Token cost
~816 tokens
SKILL.md length
323 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Fallback pattern for when executecodesandbox fails - write script to file and execute directly with runshell

  • Works in 3 steps: Write the Python Script to a File → Execute the Script Directly → Verify Output
  • Documents & Office work in your project
  • SKILL.md covers When to Use, Step-by-Step Instructions, Example Pattern and Best Practices, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sandbox Execution Fallback 238489 is an agent skill from HKUDS/OpenSpace. Fallback pattern for when executecodesandbox fails - write script to file and execute directly with runshell

Its SKILL.md is about 820 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-238489”

Requirements

  • Python 3

Workflow steps

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

  1. Write the Python Script to a File
  2. Execute the Script Directly
  3. 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 (its code samples are 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

Sandbox Execution Fallback 238489 loads about 816 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 323 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~816

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). 323 words, ~816 tokens.

Download SKILL.mdSave it as .claude/skills/sandbox-execution-fallback-238489/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-238489
description
Fallback pattern for when execute_code_sandbox fails - write script to file and execute directly with run_shell

Sandbox Execution Fallback

This skill provides a reliable fallback pattern when execute_code_sandbox fails for code execution tasks (especially PDF generation, complex file operations, or library-dependent tasks).

When to Use

Use this fallback pattern when:

  • execute_code_sandbox returns errors or fails to produce expected output
  • The task requires specific Python libraries not available in the sandbox
  • File I/O operations (especially PDF, docx, xlsx) fail in the sandbox environment
  • You need more control over the execution environment

Step-by-Step Instructions

Step 1: Write the Python Script to a File

Instead of executing code directly in the sandbox, use write_file to create a standalone Python script:

Use write_file to create a script (e.g., script.py) with your complete Python code.
Step 2: Execute the Script Directly

Run the script using run_shell with Python:

Use run_shell with command: python3 script.py
Step 3: Verify Output

Check that the script executed successfully and produced the expected files or output.

Example Pattern

Instead of this (sandbox execution):

execute_code_sandbox with code using libraries like reportlab, fpdf, etc.

Do this (fallback pattern):

python
# Step 1: Create the script
write_file:
  path: generate_pdf.py
  content: |
    from reportlab.lib.pagesizes import letter
    from reportlab.pdfgen import canvas
    
    def create_pdf(filename):
        c = canvas.Canvas(filename, pagesize=letter)
        c.drawString(100, 750, "Hello World")
        c.save()
    
    create_pdf("output.pdf")

# Step 2: Execute directly
run_shell:
  command: python3 generate_pdf.py

Best Practices

  1. Include all dependencies in the script - Make the script self-contained
  2. Add error handling - Include try/except blocks to catch and report errors
  3. Use absolute or clear relative paths - Ensure file paths work in the execution context
  4. Verify prerequisites - Check that required Python packages are available
  5. Clean up temporary files - Remove intermediate scripts after successful execution if needed

Troubleshooting

If run_shell also fails:

  • Check if Python 3 is available: run_shell command: python3 --version
  • Install missing packages: run_shell command: pip3 install package_name
  • Check file permissions and paths
  • Review error output from the shell execution for specific issues

Why This Works

This pattern bypasses sandbox limitations by:

  • Running code in the actual execution environment with full library access
  • Avoiding sandbox timeout or resource constraints
  • Enabling direct file system access for I/O operations
  • Providing better error messages from the native Python interpreter
Self-Assessment

This skill captures a genuinely reusable pattern that:

  • Is generalizable beyond just PDF generation to any execute_code_sandbox failure
  • Provides clear, actionable steps
  • Includes example code and troubleshooting guidance
  • Would benefit future executions facing similar sandbox limitations

© 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-238489 of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

Sandbox Execution Fallback 238489 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 238489 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sandbox Execution Fallback 238489 this skillHKUDS/OpenSpace7.8k—~816Automated 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

Questions about Sandbox Execution Fallback 238489

What does Sandbox Execution Fallback 238489 do?

Fallback pattern for when executecodesandbox fails - write script to file and execute directly with runshell. Sandbox Execution Fallback 238489 is an agent skill from HKUDS/OpenSpace.

When should I use Sandbox Execution Fallback 238489?

Sandbox Execution Fallback 238489 fits situations like: documents & Office work in your project.

How do I install Sandbox Execution Fallback 238489 in Claude Code?

Run `npx skills add HKUDS/OpenSpace --skill sandbox-execution-fallback-238489 -a claude-code`. Or copy the skill folder (benchmarks/gdpval/skills/sandbox-execution-fallback-238489 in HKUDS/OpenSpace) into .claude/skills/sandbox-execution-fallback-238489 in your project. Claude Code loads it when a task matches its description.

How do I install Sandbox Execution Fallback 238489 in Codex?

Run `npx skills add HKUDS/OpenSpace --skill sandbox-execution-fallback-238489 -a codex`. Or copy the skill folder (benchmarks/gdpval/skills/sandbox-execution-fallback-238489 in HKUDS/OpenSpace) into .agents/skills/sandbox-execution-fallback-238489 in your project. Codex loads it when a task matches its description.

Can I use Sandbox Execution Fallback 238489 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-238489 -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-238489, .gemini/skills/sandbox-execution-fallback-238489, .github/skills/sandbox-execution-fallback-238489 and .opencode/skills/sandbox-execution-fallback-238489 in your project.

What does Sandbox Execution Fallback 238489 need to run?

SKILL.md names no scripts, command-line tools or credentials: Sandbox Execution Fallback 238489 is instructions for the agent only. Our summary lists: Python 3.

Does Sandbox Execution Fallback 238489 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 238489 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 238489 use?

Sandbox Execution Fallback 238489 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 238489 use?

About 816 tokens (SKILL.md is roughly 3.3k 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 238489?

Skills that share tags, products or a category with Sandbox Execution Fallback 238489: 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 238489?

HKUDS (a GitHub organization) maintains it in HKUDS/OpenSpace, which has 7,754 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.