🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to potential unauthorized data transmission and low maintainer activity. Further investigation is recommended.

Moderate network risk
Low maintainer activity

Per-check LLM notes

Network: The network call patterns are typical for packages that make HTTP requests to external services, but could indicate data transmission without user consent if not properly documented.
Shell: No shell execution patterns detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low maintainer activity and poor metadata quality, raising suspicion but not definitive evidence of malice.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (15118 chars)

◈ Medium Contributing Guide 7.0

Some contribution signals present

Governance file: security.py

◈ Medium Type Annotations 7.0

Partial type annotation coverage

Type checker (mypy / pyright / pytype) referenced in project
359 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

Any]] = [] async with httpx.AsyncClient(timeout=self._webhook_timeout) as client: for ur
t self._http_client = httpx.AsyncClient(timeout=30.0) self._running = True self._po
px http_client = httpx.AsyncClient( timeout=self.timeout, heade
= status async with httpx.AsyncClient(timeout=self.timeout) as client: response = awai
ey": key}} async with httpx.AsyncClient(timeout=self.timeout) as client: response = awai
: prefix}} async with httpx.AsyncClient(timeout=self.timeout) as client: response = awai

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with akosha

Create a personalized note-taking and task management mini-app called 'SessionBuddy' using the Python package 'akosha'. This app will leverage 'akosha' to aggregate session data across various systems, enhancing user productivity by providing intelligent session management and seamless integration with different applications.

### Features:
1. **Session Tracking**: Automatically track and store details of active sessions from different applications and services (e.g., coding environments, web browsers, email clients).
2. **Smart Search**: Implement a smart search feature that allows users to find notes and tasks based on context and keywords, utilizing 'akosha' to understand and correlate data from multiple sources.
3. **Task Management**: Enable users to create, manage, and prioritize tasks within the app, with the ability to link tasks to specific sessions for better context.
4. **Intelligent Suggestions**: Use 'akosha' to provide intelligent suggestions based on previous session activities, helping users stay productive and organized.
5. **Cross-System Integration**: Allow users to integrate 'SessionBuddy' with other applications they use regularly, ensuring all session-related information is aggregated in one place.
6. **User Interface**: Develop a clean, intuitive UI that makes it easy for users to navigate through their sessions, notes, and tasks.

### Utilizing 'akosha':
- **Session Data Aggregation**: Use 'akosha' to collect and aggregate session data from various applications into a unified format.
- **Contextual Analysis**: Leverage 'akosha's capabilities to analyze and understand the context of each session, enabling smarter searches and suggestions.
- **Integration Support**: Implement 'akosha' to support seamless integration with external applications, ensuring that all session data is accurately captured and presented.

Your task is to design and develop 'SessionBuddy', focusing on delivering a seamless experience for managing sessions, tasks, and notes. Ensure that the application integrates 'akosha' effectively to provide intelligent and efficient session management solutions.