🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories except for shell execution and metadata, which indicate some potential for abuse but do not strongly suggest malicious intent. Overall, the package appears safe.

Shell execution used for git operations and script execution
Single package from maintainer

Per-check LLM notes

Network: No network calls detected, indicating low risk.
Shell: Shell execution is used for git operations and script execution, which seems consistent with typical CLI tool behavior but warrants further review to ensure commands are not being abused.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The maintainer has only one package, which might indicate a new or less active account.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

> str: try: out = subprocess.run( ["git", "rev-parse", "HEAD"], cwd=s
Path]: try: out = subprocess.run( ["git", "rev-parse", "--git-path", rel_path],
return 1 result = subprocess.run( [sys.executable, str(verifier), "--repo-root", str(
try: out = subprocess.run( ["sh", str(freshness_script), "--base-r
, args.base_ref] result = subprocess.run(cmd, cwd=str(target_root), check=False) if result.return
.CompletedProcess: return subprocess.run( [sys.executable, str(CLI), *args], cwd=str(

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository cote-star/agent-context appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "cote-star" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agent-context-cli

Create a Python-based utility called 'AgentSetupWizard' that leverages the 'agent-context-cli' package to streamline the setup process for developers working on multiple projects. This tool will help users easily configure their development environments by managing system contexts specific to each project. The utility should include the following features:

1. **Project Context Management**: Users should be able to add, modify, and delete project-specific contexts. Each context should include details such as environment variables, system paths, and other configuration settings relevant to the project.
2. **Context Activation**: Provide functionality to activate a chosen project context. When activated, the utility should apply the specified configurations to the user's current session, making it easy to switch between different project setups without manually adjusting settings.
3. **Version Control Integration**: Since 'agent-context-cli' allows contexts to be checked into repositories, ensure that the utility supports versioning of these contexts. This means users can commit changes to their contexts, track revisions, and revert to previous versions if needed.
4. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the utility. Commands should include options for adding, modifying, deleting, activating, and viewing contexts.
5. **Security Measures**: Implement basic security measures to protect sensitive information stored within project contexts, such as encrypting certain fields or providing an option to exclude sensitive data from being checked into version control systems.
6. **Documentation and Help**: Include comprehensive documentation and a help section within the CLI to guide users through setting up and using the utility effectively.

The 'agent-context-cli' package will be central to managing and applying these contexts. It will handle the storage and retrieval of context data, ensuring that all configurations are portable and consistent across different development environments.