ai-skill-governance

v0.3.0 suspicious
5.0
Medium Risk

Govern AI skill growth through intelligent merging of similar capabilities — no blocking, only consolidation. Built for LangChain, CrewAI, and custom agent systems.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is notably high due to low repository activity and a single contributor, raising suspicion.

  • Low repository activity
  • Single contributor
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution detected, indicating no direct system command risks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The repository's low activity and single contributor raise concerns about potential malicious intent.

📦 Package Quality Overall: Low (4.4/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. test_registry.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4958 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Single-author or unverifiable project

  • 1 unique contributor(s) across 1 commits in cleonard2341/ai-skill-governance
  • 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 7.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Very few commits: 1 total
  • Single contributor with only 1 commit(s) — possibly throwaway account
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "brody4321" 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 ai-skill-governance 
Create a mini-application called 'SkillMentor' that leverages the 'ai-skill-governance' package to manage and enhance AI skills within a team of agents. SkillMentor will serve as an intelligent system for consolidating similar AI skills among agents without duplicating efforts, ensuring each agent's unique strengths are highlighted while common skills are optimized.

Step 1: Define the Agents and Skills - Start by defining a set of agents and their current skills. Each agent could have multiple skills ranging from basic (e.g., data analysis, natural language processing) to advanced (e.g., predictive analytics, autonomous decision-making).

Step 2: Implement the SkillMentor System - Utilize the 'ai-skill-governance' package to implement a system that intelligently identifies overlapping skills across different agents. The goal is to merge these skills into more generalized, efficient versions, thereby reducing redundancy and enhancing overall performance.

Step 3: User Interface - Develop a simple user interface where users can add new agents, view existing agents' skills, and see the consolidated skill sets post-optimization. This UI should clearly display before-and-after comparisons of skill sets.

Step 4: Evaluation and Feedback - Integrate a feature that allows users to evaluate the effectiveness of the merged skills. Users should be able to provide feedback on which merges were beneficial and which ones may need adjustment.

Features:
- Ability to define and modify agents and their skills.
- Intelligent merging of similar skills using 'ai-skill-governance'.
- Before-and-after visualization of skill consolidation.
- User feedback mechanism for evaluating the effectiveness of merged skills.
- Option to export the optimized skill sets for further use.

The 'ai-skill-governance' package will be the backbone of the SkillMentor system, handling the complex task of identifying and merging similar skills. By leveraging its capabilities, SkillMentor aims to streamline AI skill management, making it easier for teams to optimize their collective abilities.