🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows shell execution patterns that require further investigation, along with high metadata risk due to suspicious git repository activity and a new maintainer. These factors elevate the overall risk level.

Shell risk at 3/10 requires closer inspection to ensure no unintended behavior or security risks.
High metadata risk due to suspicious git repository activity and a new maintainer.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package is expected to communicate externally.
Shell: Shell execution patterns observed may be part of package functionality but warrant closer inspection to ensure they do not lead to unintended behavior or security risks.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity related to stealing secrets or credentials.
Metadata: High risk due to suspicious git repository activity and new maintainer.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

th / "card.json" gen_md = subprocess.run( [sys.executable, "-m", "agent_trace_card.cli", "gen
md.read_text() gen_json = subprocess.run( [sys.executable, "-m", "agent_trace_card.cli", "gen
r + gen_json.stdout val = subprocess.run( [sys.executable, "-m", "agent_trace_card.cli", "val

✓ 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 7.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks
Single contributor with only 3 commit(s) — possibly throwaway account
All 3 commits happened within 24 hours

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "AuraOne" 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 agent-trace-card

Create a Python-based mini-application named 'AgentTraceAnalyzer' that leverages the 'agent-trace-card' package to manage and analyze traces from various agents. This tool should allow users to easily store, retrieve, and analyze logs of agent activities, particularly focusing on identifying patterns of failure and performance issues. Here’s a detailed breakdown of what your application should include:

1. **User Interface**: Design a simple command-line interface (CLI) where users can interact with the application. It should support basic commands like adding new trace cards, listing all trace cards, searching for specific cards based on keywords or timestamps, and deleting unwanted cards.
2. **Trace Card Management**: Implement functionalities to add new trace cards to the system. Each card should contain essential details such as timestamp, agent ID, operation performed, result status, and any relevant error messages if applicable.
3. **Search Functionality**: Enable users to search through the stored trace cards using different criteria such as agent ID, time range, or specific keywords in the operation description or error message.
4. **Failure Analysis Tool**: Integrate a feature that automatically analyzes the stored trace cards to identify common failure patterns. This could involve flagging frequent errors, unusual spikes in failure rates, or specific operations leading to more failures than others.
5. **Performance Insights**: Provide insights into the performance of agents over time by analyzing the success rates of operations. Users should be able to generate reports showing trends in agent performance.
6. **Utilization of 'agent-trace-card' Package**: Throughout the development process, utilize the 'agent-trace-card' package to handle the creation, storage, and retrieval of trace cards. Ensure that you leverage its capabilities for managing reviewable agent traces efficiently.
7. **Documentation**: Prepare comprehensive documentation detailing how to install and use the 'AgentTraceAnalyzer', including setup instructions and examples of common usage scenarios.
8. **Testing and Validation**: Develop a suite of tests to validate the functionality of your application, ensuring it meets the outlined requirements effectively.

By following these guidelines, you will create a valuable tool for developers and system administrators looking to improve the reliability and performance of their agent-based systems.