auraone-agent-studio-open

v0.1.1 suspicious
6.0
Medium Risk

Headless Agent Studio Open protocol, trace-store, sidecar, and export CLI.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks related to network and obfuscation activities, which suggest potential malicious intent. However, there is no concrete evidence of credential theft or severe metadata issues.

  • High network risk due to potential external communications
  • Significant obfuscation indicating possible evasion tactics
Per-check LLM notes
  • Network: The presence of WSS and HTTP/HTTPS connections suggests potential external communications which could be for legitimate purposes like updates or telemetry, but may also indicate data exfiltration or command and control activities.
  • Shell: Subprocess calls without shell=True are generally safer, but the ability to execute arbitrary commands still poses a risk if misused, potentially allowing for unauthorized system access or modification.
  • Obfuscation: The observed obfuscation pattern is indicative of an attempt to bypass simple import checks or analysis tools, suggesting potential malicious intent.
  • Credentials: No clear patterns for harvesting credentials or secrets were detected.
  • Metadata: The package has no associated GitHub repository and the maintainer's information is incomplete, raising suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_agentstudio_cli.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2968 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

  • 83 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)

  • e == "wss" else 80) raw = socket.create_connection((parsed.hostname or "localhost", port), timeout=timeout)
  • http", "https"}) with urllib.request.urlopen(source, timeout=10) as response: # nosec B310
  • de("utf-8") request = urllib.request.Request( self.url, data=data,
  • e("utf-8") post = urllib.request.Request( self.post_url, data
  • raise stream = urllib.request.Request( self.url, headers={"accept"
  • ttp", "https"}) request = urllib.request.Request(url, headers={"accept": "application/json"}, method=
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • GES: try: __import__(package) imports[package] = True except Exceptio
⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • h shell=False. proc = subprocess.run(args.argv, text=True, capture_output=True, check=False) # n
  • l=False. self._proc = subprocess.Popen( # nosec B603 [command, *(args or [])],
  • pip with shell=False. subprocess.run([str(python), "-m", "pip", "install", "-r", str(requirements
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: auraone.ai>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 auraone-agent-studio-open 
Create a Python-based mini-application named 'TraceAnalyzer' that leverages the 'auraone-agent-studio-open' package to manage and analyze traces from various applications. This tool will serve as a sidecar component, integrating seamlessly into existing systems to monitor and report on performance metrics in real-time. Here’s a detailed outline of the project:

1. **Setup Environment**: Begin by setting up your development environment. Ensure you have Python installed and create a virtual environment. Install the 'auraone-agent-studio-open' package using pip.
2. **Initialize Trace Store**: Use the 'trace-store' feature of the package to initialize a local store where trace data from different sources will be collected. This store should support efficient querying and storage mechanisms.
3. **Data Collection**: Implement functionality to collect trace data from external sources. These could include HTTP endpoints, logs, or other trace exporters. The application should be capable of parsing and storing this data in the initialized trace store.
4. **Real-Time Monitoring**: Develop a real-time monitoring dashboard within the application. This dashboard should provide insights into the performance of monitored applications based on the collected trace data. Consider including widgets for key performance indicators such as response times, error rates, and throughput.
5. **Export Capabilities**: Utilize the export CLI provided by the package to schedule periodic exports of trace data to various formats such as CSV, JSON, or SQL databases. Users should be able to configure these exports according to their needs.
6. **Customizable Alerts**: Integrate alerting capabilities that notify users via email or SMS when certain thresholds are breached based on the trace data analysis. For example, if the average response time exceeds a predefined threshold.
7. **User Interface**: Design a simple yet effective user interface using a web framework like Flask or Django. This UI should allow users to interact with the application, view dashboards, configure alerts, and manage data exports.
8. **Documentation & Testing**: Write comprehensive documentation for your application, explaining setup, usage, and customization options. Also, develop unit tests and integration tests to ensure the reliability and robustness of your solution.

By completing this project, you will gain hands-on experience with the 'auraone-agent-studio-open' package, enhancing your skills in data collection, real-time monitoring, and alerting systems.

💬 Discussion Feed

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