axis-thought-packet

v0.1.1 suspicious
4.0
Medium Risk

A structured thought-state representation format for human-AI and multi-agent collaboration

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network calls, shell executions, obfuscations, and credential manipulations. However, the metadata risk score is elevated due to the maintainer's new or inactive account and unusual commit patterns, which could indicate potential supply-chain compromise.

  • metadata risk due to new/inactive maintainer
  • unusually quick commits
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and the git repository shows unusually quick commits, suggesting potential suspicious activity.

📦 Package Quality Overall: Low (4.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_packet.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7468 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 13 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 7 commits in Da-P-AIP/axis-thought-packet
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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 score 2.5

Git history flags: All 7 commits happened within 24 hours

  • All 7 commits happened within 24 hours
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Da-P-AIP" 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 axis-thought-packet 
Create a collaborative problem-solving tool using Python and the 'axis-thought-packet' package. This tool will facilitate brainstorming sessions among multiple users, allowing them to contribute ideas, thoughts, and solutions to a common problem in real-time. Each user's contribution will be encapsulated as a structured thought packet, which can then be analyzed, modified, and built upon by other participants.

Steps to follow:
1. Set up a basic web application framework using Flask or Django, ensuring it supports real-time communication through WebSockets or similar technology.
2. Integrate the 'axis-thought-packet' package into your application to handle the creation, modification, and analysis of thought packets. Ensure that each thought packet includes metadata such as author information, timestamp, and tags.
3. Develop a user interface where users can log in and join ongoing brainstorming sessions. Users should be able to see all existing thought packets and add new ones.
4. Implement functionality for users to vote on thought packets, allowing the most popular ideas to rise to the top. This will help in quickly identifying the best potential solutions.
5. Add an AI component that analyzes incoming thought packets and suggests modifications or new ideas based on the content of existing packets. This AI should utilize the 'axis-thought-packet' package to ensure compatibility and coherence with the existing structure.
6. Include a feature for exporting the final set of thought packets into a report or document format, summarizing the key findings and proposed solutions from the brainstorming session.

Suggested Features:
- Real-time notifications when new thought packets are added or modified.
- User profiles that track contributions and engagement levels.
- Moderation tools for managing inappropriate or off-topic content.
- Integration with calendar apps for scheduling brainstorming sessions.

By utilizing the 'axis-thought-packet' package, you will be able to maintain a consistent and structured format for all thought contributions, making it easier to manage and analyze the collective output of your users.

💬 Discussion Feed

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