Agent skill

Run Shell Fallback

by HKUDS in HKUDS/OpenSpace

Use runshell with inline Python as a reliable fallback when executecodesandbox or readfile fail

MITAuto-check passed

Install Run Shell Fallback

skills CLI
$ npx skills add HKUDS/OpenSpace --skill run-shell-fallback -a claude-code

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

GitHub CLI
$ gh skill install HKUDS/OpenSpace run-shell-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/run-shell-fallback .claude/skills/run-shell-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
run-shell-fallback
GitHub stars
7.7k
Token cost
~1k tokens
SKILL.md length
268 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Use runshell with inline Python as a reliable fallback when executecodesandbox or readfile fail

  • Works in 3 steps: File Reading Fallback → Code Execution Fallback → Decision Flow
  • SKILL.md covers When to Use, How to Implement, Best Practices and Examples, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Run Shell Fallback is an agent skill from HKUDS/OpenSpace. Use runshell with inline Python as a reliable fallback when executecodesandbox or readfile fail

Its SKILL.md is about 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

  • “/run-shell-fallback”

Requirements

  • Python 3

Workflow steps

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

  1. File Reading Fallback
  2. Code Execution Fallback
  3. Decision Flow

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 bash).

    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

Run Shell Fallback loads about 1k tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 268 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
~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). 268 words, ~1,012 tokens.

Download SKILL.mdSave it as .claude/skills/run-shell-fallback/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
run-shell-fallback
description
Use run_shell with inline Python as a reliable fallback when execute_code_sandbox or read_file fail

Run Shell Fallback Pattern

This skill provides a reliable workaround when execute_code_sandbox or read_file fail with 'unknown error' by switching to run_shell with inline Python code.

When to Use

Apply this pattern when you encounter:

  • execute_code_sandbox fails with "unknown error" or timeout
  • read_file fails to read accessible files with "unknown error"
  • Sandbox environment is unreliable for your specific task

How to Implement

1. File Reading Fallback

When read_file fails, use run_shell with Python or cat:

For text files:

bash
run_shell(command="cat /path/to/file.txt")

For structured parsing (Python one-liner):

bash
run_shell(command="python3 -c \"import json; print(json.load(open('/path/to/file.json')))\"")

For multi-line Python processing:

bash
run_shell(command="python3 << 'EOF'
with open('/path/to/file.txt', 'r') as f:
    content = f.read()
    # Process content here
    print(content.upper())
EOF")
2. Code Execution Fallback

When execute_code_sandbox fails, use run_shell with inline Python:

Simple one-liners:

bash
run_shell(command="python3 -c \"print('Hello'); import os; print(os.getcwd())\"")

Multi-line scripts (heredoc):

bash
run_shell(command="python3 << 'EOF'
import os
import json

def process_data(data):
    return {k: v.upper() if isinstance(v, str) else v for k, v in data.items()}

with open('input.json') as f:
    data = json.load(f)
    
result = process_data(data)
print(json.dumps(result, indent=2))
EOF")

With inline file write:

bash
run_shell(command="python3 << 'EOF'
result = {'status': 'success', 'count': 42}
with open('output.json', 'w') as f:
    json.dump(result, f, indent=2)
print('File written successfully')
EOF")
3. Decision Flow
1. Attempt execute_code_sandbox or read_file
2. If failure with 'unknown error':
   a. Determine task type (code execution vs file reading)
   b. Choose inline Python approach (-c for simple, heredoc for complex)
   c. Execute via run_shell
   d. Parse output as needed
3. Continue with task using results from run_shell

Best Practices

  1. Escape quotes properly in -c commands: Use \" for double quotes inside the command string

  2. Use heredoc for complex scripts: When code exceeds 2-3 lines or needs multiple imports, use << 'EOF' syntax

  3. Quote EOF marker: Use << 'EOF' (with quotes) to prevent variable expansion in the heredoc

  4. Capture stdout: Design your inline Python to print results to stdout for easy capture

  5. Error handling: Add try/except blocks in your inline Python to catch and report errors clearly

  6. File paths: Use absolute paths when possible, or ensure working directory is correct

Examples

Example 1: Read and parse JSON after read_file failure
bash
run_shell(command="python3 -c \"import json; data=json.load(open('config.json')); print(data['key'])\"")
Example 2: Process CSV data after execute_code_sandbox failure
bash
run_shell(command="python3 << 'EOF'
import csv
with open('data.csv', 'r') as f:
    reader = csv.DictReader(f)
    rows = list(reader)
    print(f\"Total rows: {len(rows)}\")
    for row in rows[:5]:
        print(row)
EOF")
Example 3: Transform and write output file
bash
run_shell(command="python3 << 'EOF'
import json
with open('input.json') as f:
    data = json.load(f)
transformed = [item.upper() if isinstance(item, str) else item for item in data]
with open('output.json', 'w') as f:
    json.dump(transformed, f, indent=2)
print('Transformation complete')
EOF")

Limitations

  • run_shell executes in the shell environment, not the sandbox - ensure paths and dependencies are available
  • Output is limited to stdout/stderr - use file writes for large data
  • Complex multi-file projects may require creating temporary script files first

© 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/run-shell-fallback of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

Run Shell 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.

Run Shell Fallback compared with similar skills
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Run Shell Fallback this skillHKUDS/OpenSpace7.7k—~1kAutomated safety check: PassMIT
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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

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Works with

Questions about Run Shell Fallback

What does Run Shell Fallback do?

Use runshell with inline Python as a reliable fallback when executecodesandbox or readfile fail. Run Shell Fallback is an agent skill from HKUDS/OpenSpace.

How do I install Run Shell Fallback in Claude Code?

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

How do I install Run Shell Fallback in Codex?

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

Can I use Run Shell 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 run-shell-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/run-shell-fallback, .gemini/skills/run-shell-fallback, .github/skills/run-shell-fallback and .opencode/skills/run-shell-fallback in your project.

What does Run Shell Fallback need to run?

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

Does Run Shell 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 Run Shell 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 Run Shell Fallback use?

Run Shell 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 Run Shell Fallback use?

About 1k tokens (SKILL.md is roughly 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 Run Shell Fallback?

Skills that share tags, products or a category with Run Shell Fallback: 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 Run Shell 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.