Agent skill

Python Shell Workaround

by HKUDS in HKUDS/OpenSpace

Workaround for executing Python code with external packages when sandbox fails

MITAuto-check passedDocuments & Office

Install Python Shell Workaround

skills CLI
$ npx skills add HKUDS/OpenSpace --skill python-shell-workaround -a claude-code

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

GitHub CLI
$ gh skill install HKUDS/OpenSpace python-shell-workaround --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-shell-workaround .claude/skills/python-shell-workaround && 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-shell-workaround
GitHub stars
7.7k
Token cost
~734 tokens
SKILL.md length
255 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Workaround for executing Python code with external packages when sandbox fails

  • Works in 4 steps: Detect Sandbox Failure → Convert Python Code to Shell Command → Execute with run_shell → …
  • Documents & Office work in your project
  • SKILL.md covers When to Use This Skill, The Pattern, Step-by-Step Instructions and Best Practices, plus 3 more sections
  • Calls python3 and pip

What it does

Python Shell Workaround is an agent skill from HKUDS/OpenSpace. Workaround for executing Python code with external packages when sandbox fails

Its SKILL.md is about 730 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

  • “/python-shell-workaround”

Requirements

  • Python 3

Workflow steps

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

  1. Detect Sandbox Failure
  2. Convert Python Code to Shell Command
  3. Execute with 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

    Shell commands in SKILL.md call:

    • python3
    • pip

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

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    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 Shell Workaround loads about 734 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 255 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~734

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). 255 words, ~734 tokens.

Download SKILL.mdSave it as .claude/skills/python-shell-workaround/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
python-shell-workaround
description
Workaround for executing Python code with external packages when sandbox fails

Python Shell Workaround

When to Use This Skill

Use this pattern when execute_code_sandbox fails with Python code that requires external packages (like openpyxl, python-docx, pandas, etc.) that may not be available in the sandbox environment.

The Pattern

Instead of relying solely on execute_code_sandbox, use run_shell with inline Python commands as a fallback:

bash
python3 -c "your python code here"

Step-by-Step Instructions

Step 1: Detect Sandbox Failure

Watch for errors like:

  • ModuleNotFoundError for common packages
  • Import errors for external libraries
  • Sandbox environment limitations
Step 2: Convert Python Code to Shell Command

Transform your Python script into a one-liner or use a heredoc for longer scripts:

For simple code:

bash
python3 -c "import openpyxl; wb = openpyxl.Workbook(); wb.save('file.xlsx')"

For complex code (using heredoc):

bash
python3 << 'EOF'
import openpyxl
from openpyxl.utils import get_column_letter

wb = openpyxl.Workbook()
ws = wb.active
ws['A1'] = 'Header'
wb.save('output.xlsx')
print('File created successfully')
EOF
Step 3: Execute with run_shell

Use run_shell to execute the command:

tool: run_shell
command: python3 -c "import openpyxl; print('Package available')"
Step 4: Verify Output

Check the stdout/stderr from run_shell to confirm success, then proceed with subsequent steps.

Best Practices

  1. Escape quotes properly: Use single quotes inside double-quoted strings or vice versa
  2. Use heredocs for multiline code: Cleaner and easier to debug
  3. Install packages if needed: Add pip install package before your Python command if packages are missing
  4. Chain commands safely: Use && to ensure prerequisites succeed before running Python code

Example Scenarios

Creating Excel Files
bash
python3 << 'EOF'
import openpyxl
from openpyxl.worksheet.datavalidation import DataValidation

wb = openpyxl.Workbook()
ws = wb.active
ws.title = "Data"

# Add headers
headers = ['Name', 'Email', 'Status']
for col, header in enumerate(headers, 1):
    ws.cell(row=1, column=col, value=header)

wb.save('output.xlsx')
EOF
Creating Word Documents
bash
python3 -c "
from docx import Document
doc = Document()
doc.add_heading('Report', 0)
doc.save('report.docx')
print('Document created')
"

Limitations

  • Complex multiline scripts are harder to maintain as one-liners
  • Debugging is less convenient than in sandbox
  • Some packages may still not be available in the shell environment
  • If packages are truly unavailable, consider installing them first: pip install package_name && python3 -c "..."
  • For persistent scripts, write to a .py file first, then execute with python3 script.py

© 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-shell-workaround of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

Python Shell Workaround 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 Shell Workaround compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Python Shell Workaround this skillHKUDS/OpenSpace7.7k—~734Automated safety check: PassMIT
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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 Python Shell Workaround

What does Python Shell Workaround do?

Workaround for executing Python code with external packages when sandbox fails. Python Shell Workaround is an agent skill from HKUDS/OpenSpace.

When should I use Python Shell Workaround?

Python Shell Workaround fits situations like: documents & Office work in your project.

How do I install Python Shell Workaround in Claude Code?

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

How do I install Python Shell Workaround in Codex?

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

Can I use Python Shell Workaround 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-shell-workaround -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-shell-workaround, .gemini/skills/python-shell-workaround, .github/skills/python-shell-workaround and .opencode/skills/python-shell-workaround in your project.

What does Python Shell Workaround need to run?

Going by SKILL.md and its folder, Python Shell Workaround needs the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.

Does Python Shell Workaround access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Python Shell Workaround 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 Shell Workaround use?

Python Shell Workaround 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 Shell Workaround use?

About 734 tokens (SKILL.md is roughly 2.9k 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 Shell Workaround?

Skills that share tags, products or a category with Python Shell Workaround: 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 Python Shell Workaround?

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.