armance

v0.1.0 suspicious
6.0
Medium Risk

Armance 👒 - a team of experts you recruit to help you decide. Coordinate a panel that debates, stress-tests and synthesises. You keep the call 💡. Not a copilot, a brain you consult when the choice matters.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to potential code obfuscation and subprocess usage, though no direct evidence of malicious intent or credential theft was found.

  • High obfuscation risk suggesting possible code hiding
  • Moderate shell risk from subprocess calls
Per-check LLM notes
  • Network: The use of httpx for network calls is common and indicates standard HTTP requests, not necessarily malicious.
  • Shell: Subprocess calls to open files or URLs can be legitimate but also pose a risk if they execute arbitrary commands.
  • Obfuscation: The obfuscation pattern suggests an attempt to dynamically import modules which may indicate evasion techniques or hiding code behavior.
  • Credentials: No clear patterns of credential harvesting are present.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (15083 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

  • Type checker (mypy / pyright / pytype) referenced in project
  • 267 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in armance-io/armance
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • } async with httpx.AsyncClient(timeout=self.timeout) as client: resp = await cl
  • self._client = client or httpx.AsyncClient(timeout=timeout) @property def base_url(self) -> st
  • text": text}]}} with httpx.Client(timeout=self._timeout) as client: response = cli
  • ta/models" async with httpx.AsyncClient(timeout=self.timeout) as client: resp = await cl
  • " try: async with httpx.AsyncClient(timeout=10.0) as client: resp = await client.get
  • ) try: async with httpx.AsyncClient(timeout=10.0) as client: resp = await client.get
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • t"): try: __import__(lib) _row(f"lib:{lib}", True) except ImportE
  • uvicorn", "sse_starlette") if __import__("importlib").util.find_spec(m) is None] if _missing: print(
⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

  • : str(root)} try: subprocess.run( [ sys.executable, "-m", "uvicor
  • form == "darwin": subprocess.run(["open", path], check=False) elif sys.platform == "w
  • ed] else: subprocess.run(["xdg-open", path], check=False) def summary_line(self,
  • if chosen_editor: subprocess.run([chosen_editor, str(path)], check=False) else: l
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: richard-pro.fr>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 armance 
Develop a decision-making assistant app named 'DecisionMaster' using the Python package 'armance'. This app will allow users to input complex decisions they need help with, such as choosing between different job offers, deciding on a vacation destination, or selecting the best technology stack for a new project. The app will utilize 'armance' to simulate a team of experts who will debate and analyze each option from multiple perspectives, ensuring all aspects of the decision are thoroughly examined. Users will interact with the app through a simple, user-friendly interface where they can input their decision criteria, options, and any relevant details. Once submitted, 'DecisionMaster' will process the information using 'armance', presenting the user with a synthesized summary of the pros and cons of each option, along with a recommended choice based on the analysis. Key features include:

1. A clean, intuitive UI for easy data entry.
2. Integration with 'armance' to handle complex decision-making processes.
3. Detailed output including expert opinions, potential risks, and benefits.
4. Customizable expert profiles within 'armance' to match the user's specific needs.
5. A final recommendation summarized in a concise report.

Utilize 'armance' to create a dynamic and insightful decision support tool that empowers users to make informed choices.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!