shebangrun 0.6.1

Python client library for shebang.run

shebangrun Python Client

Python client library and CLI tool for shebang.run - a platform for hosting and sharing shell scripts with versioning, encryption, and signing.

Installation

pip install shebangrun

This installs both the Python library and the shebang CLI tool.

CLI Tool

Quick Start

# Login and generate API credentials
shebang login

# List your scripts
shebang list

# Get a script
shebang get myscript

# Run a script
shebang run myscript

Commands

Login

shebang login

Interactive wizard that:

• Prompts for server URL, username, password
• Generates API credentials (Client ID/Secret)
• Saves to ~/.shebangrc

List Scripts

# Your scripts
shebang list

# Include community scripts
shebang list -c

Search Scripts

# Search your scripts
shebang search "deploy"

# Search community
shebang search -c "backup"

Get Script

# Download to stdout
shebang get myscript

# From another user
shebang get -u username scriptname

# Save to file
shebang get -O deploy.sh myscript

# Decrypt with private key
shebang get -k private.pem encrypted-script

Run Script

# Run with confirmation
shebang run myscript

# Auto-accept (no prompt)
shebang run -a myscript

# Pass arguments
shebang run myscript arg1 arg2

# Run and delete
shebang run -d myscript

Key Management

# List keys
shebang list-keys

# Create new keypair
shebang create-key
shebang create-key -O mykey.pem

# Delete key
shebang delete-key keyname

Upload Script

# Upload from file
shebang put -n myscript -v public -f script.sh

# Upload from stdin
cat script.sh | shebang put -n myscript -v public -s

# Upload private script with encryption
shebang put -n private-script -v priv -k my-key -f script.sh -d "My private script"

Secrets Management

# List secrets
shebang list-secrets

# Get secret value
shebang get-secret AWS_KEY

# Get in different formats
shebang get-secret AWS_KEY -f env    # AWS_KEY="value"
shebang get-secret AWS_KEY -f json   # {"AWS_KEY": "value"}

# Create/update secret
shebang put-secret AWS_KEY -v "AKIA..."
echo "secret-value" | shebang put-secret API_KEY -s

# Delete secret
shebang delete-secret AWS_KEY

# View audit log
shebang audit-secret AWS_KEY

Script Sharing

# List who has access
shebang list-shares myscript

# Share with specific users
shebang share myscript -u alice -u bob

# Enable "anyone with link" sharing
shebang share myscript -l

# Remove user access
shebang share myscript -u alice -r

# Remove link sharing
shebang share myscript -l -r

# List scripts (includes shared by default)
shebang list

# Hide shared scripts
shebang list -i

Secret Substitution

# Get script with secrets substituted
shebang get myscript -s

# Run script (secrets always substituted)
shebang run myscript

AI Script Generation (Ultimate Tier)

# Generate a script
shebang infer "script that rotates an image 90 degrees" image.jpg

# Execute immediately
shebang infer -e "backup database to S3" /data/db

# Save to file
shebang infer -O rotate.sh "rotate image 90 degrees"

# Save to shebang account
shebang infer -s -n rotate-image -v public "rotate image 90 degrees"

# Choose AI provider (bedrock, claude, openai)
shebang infer -p bedrock "create backup script"

CLI Options

Visibility:

• priv - Private (encrypted, requires key)
• unlist - Unlisted (accessible via URL only, supports ACL sharing)
• public - Public (listed in community)

Configuration: Stored in ~/.shebangrc:

SHEBANG_URL="https://shebang.run"
SHEBANG_USERNAME="myuser"
SHEBANG_CLIENT_ID="..."
SHEBANG_CLIENT_SECRET="..."
SHEBANG_KEY_PATH="/path/to/key.pem"

Python Library

Google Colab Usage

import shebangrun as shebang
from google.colab import userdata

# Initialize from Colab secrets
shebangrc = userdata.get('shebangrc')
key = userdata.get('colabpem')
shebang.init(shebangrc)

# Run script with variables
results = shebang.run(
    script="pythontest",
    key=key,
    eval=True,
    accept=True,
    vars={"C": 5}
)

# Access variables from script
print(results['A'])  # Variables defined in script

Simple Script Fetching

from shebangrun import run

# Fetch a script (returns content as string)
content = run(username="mpruitt", script="bashtest")
print(content)

Execute Python Scripts

from shebangrun import run

# Fetch and execute with confirmation prompt
run(username="mpruitt", script="myscript", eval=True)

# Execute without confirmation (use with caution!)
run(username="mpruitt", script="myscript", eval=True, accept=True)

Working with Versions

from shebangrun import run

# Get latest version
content = run(username="mpruitt", script="deploy", version="latest")

# Get specific version
content = run(username="mpruitt", script="deploy", version="v5")

# Get tagged version
content = run(username="mpruitt", script="deploy", version="dev")

Private Scripts

from shebangrun import run

# Access private script with share token
content = run(
    username="mpruitt", 
    script="private-script",
    token="your-share-token-here"
)

Full API Client

For more advanced usage, use the ShebangClient class:

from shebangrun import ShebangClient

# Initialize client
client = ShebangClient(url="shebang.run")

# Login
client.login(username="myuser", password="mypassword")

# Create a script
client.create_script(
    name="hello",
    content="#!/bin/bash\necho 'Hello World'",
    description="My first script",
    visibility="public"
)

# List your scripts
scripts = client.list_scripts()
for script in scripts:
    print(f"{script['name']} - v{script['version']}")

# Update a script (creates new version)
client.update_script(
    script_id=1,
    content="#!/bin/bash\necho 'Hello World v2'",
    tag="dev"
)

# Generate share token for private script
token = client.generate_share_token(script_id=1)
print(f"Share URL: https://shebang.run/myuser/myscript?token={token}")

# Get script metadata
meta = client.get_metadata(username="mpruitt", script="bashtest")

# Secrets management
client.create_secret("AWS_KEY", "AKIA...")
secrets = client.list_secrets()
value = client.get_secret("AWS_KEY")
audit = client.get_secret_audit("AWS_KEY")
client.delete_secret("AWS_KEY")

# Script sharing
client.add_script_access(script_id=1, usernames=["alice", "bob"])
access_list = client.list_script_access(script_id=1)
client.remove_script_access(script_id=1, access_id=5)
shared = client.list_shared_scripts()

# AI script generation (Ultimate tier)
result = client.generate_script("script that backs up database", args=["db_path"])
print(result['script'])  # Generated script
print(result['tokens'])  # Token usage

usage = client.get_ai_usage()
print(f"Used {usage['used']} of {usage['limit']} AI generations this month")

print(f"Version: {meta['version']}, Size: {meta['size']} bytes")

# Verify signature
verification = client.verify_signature(username="mpruitt", script="bashtest")
print(f"Signed: {verification['signed']}")

Key Management

from shebangrun import ShebangClient

client = ShebangClient(url="shebang.run")
client.login(username="myuser", password="mypassword")

# Generate a new keypair
key = client.generate_key(name="my-signing-key")
print(f"Public Key: {key['public_key']}")
print(f"Private Key: {key['private_key']}")  # Save this securely!

# List keys
keys = client.list_keys()
for key in keys:
    print(f"{key['name']} - Created: {key['created_at']}")

# Import existing public key
client.import_key(
    name="imported-key",
    public_key="-----BEGIN PUBLIC KEY-----\n..."
)

# Delete a key
client.delete_key(key_id=1)

Account Management

from shebangrun import ShebangClient

client = ShebangClient(url="shebang.run")
client.login(username="myuser", password="mypassword")

# Change password
client.change_password(
    current_password="oldpass",
    new_password="newpass"
)

# Export all data (GDPR)
data = client.export_data()
print(f"Exported {len(data['scripts'])} scripts")

# Delete account (permanent!)
client.delete_account()

API Reference

run() Function

run(username, script, key=None, eval=False, accept=False, 
    url="shebang.run", version=None, token=None)

Parameters:

• username (str, required): Script owner's username
• script (str, required): Script name
• key (str, optional): Private key for decryption (not yet implemented)
• eval (bool, optional): Execute the script in Python (default: False)
• accept (bool, optional): Skip confirmation when eval=True (default: False)
• url (str, optional): Base URL (default: "shebang.run")
• version (str, optional): Version tag (e.g., "latest", "v1", "dev")
• token (str, optional): Share token for private scripts

Returns:

• String content if eval=False
• Execution result if eval=True

ShebangClient Class

Authentication

• register(username, email, password) - Register new user
• login(username, password) - Login and get JWT token

Script Management

• list_scripts() - List user's scripts
• get_script(username, script, version=None, token=None) - Fetch script content
• get_metadata(username, script) - Get script metadata
• verify_signature(username, script) - Verify script signature
• create_script(name, content, description="", visibility="private", keypair_id=None) - Create script
• update_script(script_id, content=None, description=None, visibility=None, tag=None, keypair_id=None) - Update script
• delete_script(script_id) - Delete script
• generate_share_token(script_id) - Generate share token
• revoke_share_token(script_id, token) - Revoke share token

Key Management

• list_keys() - List keypairs
• generate_key(name) - Generate new keypair
• import_key(name, public_key) - Import public key
• delete_key(key_id) - Delete keypair

Account Management

• change_password(current_password, new_password) - Change password
• export_data() - Export all data (GDPR)
• delete_account() - Delete account

Security Notes

⚠️ Warning: Using eval=True with accept=True will execute remote code without confirmation. Only use this with scripts you trust completely.

✅ Best Practices:

• Always review scripts before executing with eval=True
• Use accept=False (default) to see the script before execution
• Store private keys securely, never commit them to version control
• Use environment variables for tokens and credentials
• Verify script signatures when available

Examples

Automation Script

#!/usr/bin/env python3
from shebangrun import run

# Fetch deployment script and execute with confirmation
run(
    username="devops",
    script="deploy-prod",
    version="latest",
    eval=True,
    accept=False  # Always confirm production deployments!
)

CI/CD Integration

import os
from shebangrun import ShebangClient

client = ShebangClient()
client.login(
    username=os.environ["SHEBANG_USER"],
    password=os.environ["SHEBANG_PASS"]
)

# Update deployment script
client.update_script(
    script_id=int(os.environ["DEPLOY_SCRIPT_ID"]),
    content=open("deploy.sh").read(),
    tag="latest"
)

print("Deployment script updated!")

License

MIT

Links

• Website: https://shebang.run
• Documentation: https://shebang.run/docs
• GitHub: https://github.com/skibare87/shebangrun
• PyPI: https://pypi.org/project/shebangrun/