AI Analysis
Final verdict: SUSPICIOUS
The package shows some concerning signs such as potential obfuscation and shell execution risks, though there's no concrete evidence of malicious activity. The low metadata and credential risks slightly mitigate these concerns.
- Potential obfuscation to hide malicious intent
- Intended use of shell execution, requiring further review
Per-check LLM notes
- Network: No network calls detected.
- Shell: Shell execution appears to be part of the package's intended functionality, but further review is needed to ensure there are no unintended behaviors.
- Obfuscation: The code snippet shows signs of obfuscation which could be used to hide malicious intent, but it's not conclusive without more context.
- Credentials: No clear patterns of credential harvesting were detected.
- Metadata: The maintainer has a new or inactive account and the repository lacks community engagement.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 4.0
Found 2 obfuscation pattern(s)
xists for. A naive aggregate eval (mean held-out score over n queries) accepts the candidate be**kwargs) self.model.eval() print(f"Loaded {self.model_name} via transformers
Shell / Subprocess Execution
score 10.0
Found 5 shell execution pattern(s)
sonl" # Seed recipes subprocess.run( [sys.executable, "-m", "adaptergate.cli", "recipes"sys.stdout.flush() gate = subprocess.run( [ sys.executable, "-m", "adaptergate.cl# Recommend recipes subprocess.run( [ sys.executable, "-m", "adaptergate.clstr(slice_eps)] result = subprocess.run(args, cwd=workdir) return result.returncode def run(woding recipe library ...") subprocess.run( [sys.executable, "-m", "adaptergate.cli", "recipes"
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
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Kazdov" 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 adaptergate
Create a mini-application called 'AdapterWatch' using the Python package 'adaptergate'. This application will serve as a monitoring tool for continuous integration (CI) gates related to tenant-specific LoRA (Low-Rank Adaptation) adapters. The main goal of AdapterWatch is to provide real-time feedback on the status of these adapters and their updates, ensuring they meet certain quality thresholds before being deployed. **Features of AdapterWatch:** 1. **Real-Time Monitoring**: Continuously monitor the status of LoRA adapters for each tenant. 2. **Slice-Level Rejection Explain**: Provide detailed explanations when a particular slice of data fails the quality check. 3. **Serving-Stack Agnostic Integration**: Ensure that the application can integrate seamlessly with different serving stacks without requiring modifications. 4. **User-Friendly Dashboard**: Develop a web-based dashboard where users can view the status of their adapters and access rejection explanations. 5. **Notification System**: Implement a notification system that alerts users via email or SMS when an adapter fails a quality check. 6. **Update Tracking**: Track the history of updates for each adapter and display it on the dashboard. **How to Use AdapterGate Package**: - Utilize AdapterGate's capabilities to set up CI gates for each tenant's LoRA adapters. - Leverage its slice-level reject explain feature to provide detailed insights into why specific slices of data might fail. - Ensure the application is serving-stack agnostic by testing with multiple configurations. - Integrate AdapterGate's functionalities to automatically notify users about any failures or successful updates. Your task is to design and implement AdapterWatch, focusing on the integration of AdapterGate's core features to ensure a seamless user experience and efficient management of LoRA adapters.