AI Analysis
The package agentic-gateway v2.0.0 exhibits low risks in terms of network, shell, obfuscation, and credential handling. However, metadata analysis reveals red flags such as an anonymous author and an empty repository, raising suspicion about its legitimacy.
- Anonymous author
- Empty git repository
Per-check LLM notes
- Network: The network calls appear to be for health checks, which is a common and benign practice.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some red flags such as an author with no name or history, and an empty git repository, which could indicate potential risk.
Heuristic Checks
Found 2 network call pattern(s)
ttpx try: resp = httpx.get(f"{args.url.rstrip('/')}/health", timeout=5.0) if reconfig self._client = httpx.AsyncClient(timeout=30.0) @classmethod def from_yaml(cls, path:
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a versatile task automation tool named 'TaskMaster' using the 'agentic-gateway' Python package. TaskMaster will serve as a bridge between various AI agents and APIs, enabling users to automate tasks across different platforms with ease. The app should allow users to define tasks, assign them to specific agents or APIs, and monitor their progress through a simple CLI interface. Core Features: 1. Define Tasks: Users should be able to create tasks such as 'Send a tweet', 'Post to Facebook', or 'Retrieve weather data'. Each task must include parameters like API endpoint, method, payload, etc. 2. Assign Agents: Utilize 'agentic-gateway' to translate task requests into commands that can be understood by different agents and APIs. For instance, if a user wants to send a tweet, TaskMaster should use 'agentic-gateway' to convert this request into a format that Twitter's API understands. 3. Monitor Progress: Implement a feature to track the status of each task. Users should receive notifications when a task starts, completes, or fails. 4. Configuration Management: All configurations, including API keys and endpoints, should be stored in a single YAML file, leveraging 'agentic-gateway's ability to manage multiple protocols in one place. 5. Logging & Reporting: Maintain logs of all task executions and provide reporting capabilities to help users analyze task performance over time. To achieve these goals, integrate 'agentic-gateway' as the central component for translating and executing tasks across different platforms. This will ensure seamless interaction with various AI services and APIs, making TaskMaster a powerful yet easy-to-use automation tool.