🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some suspicious signs due to the shell execution risk and the presence of non-HTTPS links, despite being relatively low-risk overall.

Shell execution risk
Non-HTTPS links present

Per-check LLM notes

Network: No network calls detected, which is normal unless specific network behavior is expected.
Shell: Shell execution might be for legitimate purposes like running scripts or modules, but it could also indicate potential risks if not properly documented.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
Metadata: The presence of non-HTTPS links within the package is concerning but they appear to be local addresses. The maintainer's account and repository are new and have limited activity.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

nder the wheel.""" proc = subprocess.Popen( [ sys.executable, "-m",

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 10.0

Found 6 suspicious link(s) on the package page

Non-HTTPS external link: http://127.0.0.1:8000/timeline
Non-HTTPS external link: http://127.0.0.1:8788
Non-HTTPS external link: http://127.0.0.1:8789
Non-HTTPS external link: http://127.0.0.1:8790
Non-HTTPS external link: http://127.0.0.1:8000
Non-HTTPS external link: http://`

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Package is very new: uploaded 3 day(s) ago
Author "Zonda Yang" 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-interlude

Create a mini-application named 'PromptSpy' using Python that leverages the 'agent-interlude' package to intercept and analyze the communication between AI coding agents and their respective APIs. This tool will be invaluable for developers looking to understand the nuances of prompt engineering and improve the interaction between human developers and AI systems.

Step 1: Set up your development environment with Python and install the 'agent-interlude' package. Ensure you have the necessary permissions and configurations to use and monitor API traffic.

Step 2: Design the core functionality of 'PromptSpy'. It should be able to:
- Intercept API requests made by AI coding agents.
- Log these requests into a structured format such as JSON or CSV.
- Provide real-time feedback on the content and structure of prompts sent to AI agents.

Step 3: Implement an interface for users to interact with 'PromptSpy'. This could be a simple command-line interface or a more advanced graphical user interface depending on your preference and skill level.

Step 4: Add features to enhance usability and functionality:
- Analyze logged data to identify common patterns or issues in prompt formulation.
- Allow users to filter and search through logged interactions based on specific criteria.
- Integrate machine learning models to predict the effectiveness of different prompt structures.

Step 5: Test 'PromptSpy' thoroughly with various AI coding agents and APIs to ensure it captures all relevant data accurately.

Throughout the development process, utilize the 'agent-interlude' package's capabilities to ensure comprehensive interception and logging of API traffic. This includes setting up appropriate hooks and filters within your code to capture the exact moments when data is transmitted between the AI agent and the API server.