🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to its execution of shell commands and unusual metadata indicators such as a new maintainer with limited history and lack of community engagement.

Shell risk due to execution of shell commands
Metadata risk due to new maintainer and low community engagement

Per-check LLM notes

Network: No network calls were detected.
Shell: The package executes shell commands, which could be for legitimate purposes like version control operations but may also indicate potential risk if the commands are not properly sanitized or controlled.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows several red flags including a new maintainer with limited history, a repository with no community engagement, and rapid commits.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

st[str]: try: r = subprocess.run( ["git", "log", "--pretty=format:%h %s", f"-{lim
, cwd: Path) -> None: r = subprocess.run(["git", *args], cwd=cwd, capture_output=True, text=True, che
ROPIC_API_KEY", None) r = subprocess.run( [sys.executable, "-m", "agent_launch", *args],
THROPIC_API_KEY": ""} r = subprocess.run( [sys.executable, "-m", "agent_launch", *args],

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 5.0

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks
All 3 commits happened within 24 hours

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author name is missing or very short
Author "" 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-launch

Create a social media announcement generator called 'AnnounceIt' using the Python package 'agent-launch'. This mini-application will automate the process of drafting native platform-specific release announcements for tech startups based on their CHANGELOG and README files. Here’s a detailed plan for building AnnounceIt:

1. **Setup Project Environment**: Initialize a new Python environment and install the 'agent-launch' package along with other necessary dependencies like requests for handling HTTP requests.
2. **User Input Interface**: Design a simple command-line interface where users can input the path to their CHANGELOG.md and README.md files, as well as specify the platforms they wish to generate announcements for (e.g., Hacker News, Reddit, X [formerly Twitter], Mastodon, LinkedIn).
3. **Content Extraction**: Implement functionality to read and parse the provided CHANGELOG and README files to extract key information such as version number, release date, notable changes, and project description.
4. **Platform-Specific Formatting**: Utilize 'agent-launch' to format the extracted content into platform-specific announcements. Ensure that the announcements are tailored to each platform's character limits, tone, and formatting guidelines.
5. **Preview and Customize**: Allow users to preview the generated announcements before posting. Provide options to customize the announcements if needed, such as adding personal touches or adjusting the content length.
6. **Posting Mechanism**: Integrate API access to post the formatted announcements directly to the selected social media platforms. Ensure that the user provides necessary credentials securely.
7. **Feedback and Logging**: After posting, log the success or failure of each post attempt and provide feedback to the user through the CLI. Include error handling for common issues like rate limiting or incorrect credentials.
8. **Enhancements**: Consider additional features such as scheduling posts for specific times, saving templates for future releases, or integrating with continuous integration systems like GitHub Actions.

Your task is to write the code for each of these steps, ensuring that 'agent-launch' is effectively utilized to draft the announcements. Pay special attention to making the CLI user-friendly and the announcements engaging while adhering to the unique characteristics of each platform.