AI Analysis
Final verdict: SUSPICIOUS
The package shows a moderate level of risk due to potential unexpected network activity, despite having no clear signs of malicious intent such as shell execution, obfuscation, or credential harvesting.
- network risk due to HTTP client initialization
- low number of packages by maintainer
Per-check LLM notes
- Network: The presence of HTTP client initialization suggests network activity which may be unexpected and could indicate external communication.
- 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 maintainer has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (4.8/10)
◈ 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 (5714 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
7.0
Partial type annotation coverage
Classifier: Typing :: TypedType checker (mypy / pyright / pytype) referenced in project448 type-annotated function signatures detected in source
○ Low
Multiple Contributors
2.0
Single-author or unverifiable project
1 unique contributor(s) across 5 commits in atomicstrata/atomicmemory-pythonSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
Outbound Network Calls
score 6.0
Found 4 network call pattern(s)
e: self._client = httpx.AsyncClient() if self._handle is None: self._handlee: self._client = httpx.Client() if self._handle is None: self._handlee: self._client = httpx.AsyncClient() self._initialized = True async def close(selfe: self._client = httpx.Client() self._initialized = True def close(self) -> N
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
Repository atomicstrata/atomicmemory-python appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "AtomicMemory" 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 atomicmemory
Create a personal knowledge management tool called 'AtomicNote' using the Python package 'atomicmemory'. This tool should allow users to store, retrieve, and manage notes efficiently while leveraging AtomicMemory's capabilities for high-performance data storage and retrieval. Step 1: Design the user interface for AtomicNote. It should be simple and intuitive, allowing users to create new notes, edit existing ones, and search through their notes easily. Step 2: Implement the backend functionality using the atomicmemory package. Use it to store each note as an artifact, ensuring that updates are atomic and consistent. Each note should have metadata such as title, creation date, last modified date, and tags. Step 3: Add features to search notes based on keywords, dates, and tags. Utilize atomicmemory's powerful query capabilities to enable fast and accurate searches. Step 4: Incorporate a feature that allows users to set reminders for specific notes. When a reminder is triggered, the system should notify the user via email or another preferred method. Step 5: Ensure that AtomicNote supports versioning of notes. Users should be able to view previous versions of their notes and restore them if needed. AtomicMemory's artifact storage should handle this seamlessly. Suggested Features: - Integration with other services like calendar apps for syncing notes and reminders. - Support for attachments in notes, stored as separate artifacts in atomicmemory. - A collaborative mode where multiple users can edit the same note simultaneously, with atomicmemory handling concurrency control. - Export and import functionalities for notes, allowing users to back up their data or migrate between different instances of AtomicNote. The goal is to demonstrate the robustness and efficiency of atomicmemory in managing complex, real-world applications.
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