AI Analysis
The package has moderate risks due to potential shell command abuse and incomplete metadata. While network calls appear standard, the execution of shell commands, particularly concerning cloud secrets, warrants further investigation.
- High shell risk due to potentially unsafe shell command execution.
- Incomplete metadata and low maintenance effort suggest lack of proper oversight.
Per-check LLM notes
- Network: Network calls to predefined API URLs seem standard for an SDK but should be verified against official documentation.
- Shell: Executing shell commands, especially related to cloud secrets management, raises concerns and should be thoroughly reviewed to ensure no unauthorized access or data exfiltration is occurring.
- Metadata: The package shows low maintenance effort with an incomplete author profile and no PyPI classifiers.
Package Quality Overall: Low (4.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (14176 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
458 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 100 commits in zahemen9900/agoraSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 4 network call pattern(s)
) self._client = httpx.AsyncClient( base_url=resolved_api_url, timeout=self._http = http_client or httpx.AsyncClient( base_url=self._config.brave_base_url.rstrip("/"self._http = http_client or httpx.AsyncClient( base_url=self._config.openrouter_base_url.rstriself._http = http_client or httpx.AsyncClient(timeout=45.0) self._owns_http_client = http_client i
Found 1 obfuscation pattern(s)
m Solana RPC") return base64.b64decode(encoded) def _derive_task_pda(self, task_id: str) -> Pu
Found 1 shell execution pattern(s)
E_PROMPTS", "1") result = subprocess.run( [ "gcloud", "secrets",
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository zahemen9900/agora appears legitimate
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a decentralized dispute resolution platform using the 'agora-arbitrator-sdk' Python package. This platform will serve as a virtual courtroom where disputes between parties can be resolved through on-chain arbitration processes. The app should allow users to submit disputes, participate in debates, cast votes, and engage in Delphi-style consensus building. Here’s a detailed breakdown of the steps and features required: 1. **User Registration**: Allow users to create accounts and securely log in. 2. **Dispute Submission**: Users can submit disputes detailing their grievances, including relevant documents and evidence. 3. **Debate Phase**: Once a dispute is submitted, it enters a debate phase where all parties can present arguments and counterarguments. 4. **Voting Mechanism**: After the debate, participants can vote on which side has presented the stronger case. 5. **Delphi Consensus**: For more complex cases, implement a Delphi method to reach a consensus among arbitrators. 6. **Resolution & Execution**: Based on the voting and consensus results, the platform will automatically execute the agreed-upon resolution. 7. **Blockchain Integration**: Ensure all interactions and decisions are recorded on the blockchain for transparency and immutability. 8. **UI/UX Design**: Develop an intuitive and user-friendly interface for ease of use. The 'agora-arbitrator-sdk' package will be utilized to handle the core functionalities such as debate management, voting systems, and Delphi consensus mechanisms. It will also facilitate seamless integration with blockchain technologies, ensuring that all processes are transparent and secure. Your task is to design and implement this platform from scratch, providing a complete solution that leverages the capabilities of the 'agora-arbitrator-sdk' to resolve disputes efficiently and fairly.