auditoria-skills-mcp

v2.1.0 suspicious
4.0
Medium Risk

MCP server with 20 internal-audit SKILLs grounded in global standards (IIA, COSO, NIST, ISO, IFRS)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across network, shell, obfuscation, and credential fronts, but the metadata risk due to the maintainer's new or inactive account and lack of proper author identification raises concerns about potential supply-chain compromise.

  • Low individual risk scores for network, shell, obfuscation, and credential checks.
  • Metadata risk due to suspicious maintainer account status.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of unauthorized access.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (2.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4077 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 9 commits in marcelinero/auditoria-skills
  • 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

Repository marcelinero/auditoria-skills appears legitimate

⚠ 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 auditoria-skills-mcp 
Develop a mini-application named 'AuditSkillAnalyzer' that leverages the 'auditoria-skills-mcp' package to assess and analyze internal audit skills against global standards such as IIA, COSO, NIST, ISO, and IFRS. This tool will serve as a comprehensive resource for auditors and organizations looking to evaluate their compliance and readiness levels in terms of skill sets.

Step 1: Setup the Project Environment
- Install Python and set up a virtual environment.
- Install the 'auditoria-skills-mcp' package along with other necessary dependencies like Flask for web development.

Step 2: Define the Application Structure
- Create a main application file (e.g., app.py).
- Design database models for storing user information and audit skill assessments.
- Implement a RESTful API using Flask to interact with the database and 'auditoria-skills-mcp'.

Step 3: Utilize 'auditoria-skills-mcp'
- Integrate 'auditoria-skills-mcp' into your application to fetch and apply the predefined audit skills based on global standards.
- Develop functions that map these skills to specific user roles within the organization.

Step 4: Build User Interface
- Use a frontend framework like React or Vue.js to create an intuitive interface where users can input their current skill levels.
- Display results that highlight areas of strength and weakness based on the 'auditoria-skills-mcp' standards.

Step 5: Implement Key Features
- Skill Assessment Tool: Allow users to self-assess their skills against the defined standards.
- Compliance Report Generator: Automatically generate reports detailing compliance status and recommendations for improvement.
- User Management System: Enable administrators to manage user accounts and access levels.
- Real-time Feedback: Provide immediate feedback to users as they fill out their assessments.

Step 6: Testing and Deployment
- Thoroughly test the application for functionality and usability.
- Deploy the application to a cloud platform like AWS or Heroku.

This project aims to provide a valuable tool for internal auditors and organizations to enhance their skills and ensure compliance with global standards.

💬 Discussion Feed

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