agent-readiness-insights-protocol

v0.12.0 suspicious
4.0
Medium Risk

Shared schema, dataclasses, and version constants for the agent-readiness insights ecosystem.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, and obfuscation activities. However, the lack of repository activity and the maintainer having only one package raises some suspicion.

  • No network calls, shell execution, obfuscation, or credential harvesting detected.
  • Repository has no activity and the maintainer has only one package.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interaction to function properly.
  • Shell: No shell execution detected, indicating no immediate risk of unauthorized command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk related to secret or credential theft.
  • Metadata: The repository has no activity and the maintainer has only one package, raising suspicion but not conclusive evidence of malice.

🔬 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 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "agent-readiness contributors" 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-readiness-insights-protocol 
Create a mini-application called 'AgentPrep' which will serve as a tool to assess and prepare agents for various tasks based on predefined readiness criteria. This application should leverage the 'agent-readiness-insights-protocol' package to ensure consistency and interoperability with other tools within the agent-readiness ecosystem.

Step 1: Define the structure of the agents and their readiness criteria using the dataclasses provided by the 'agent-readiness-insights-protocol' package. Agents could represent different roles or entities within a system, each with unique sets of skills or attributes required for specific tasks.

Step 2: Implement a feature that allows users to input new agents and their associated readiness criteria. This should include validation checks to ensure all necessary fields are populated correctly.

Step 3: Develop an assessment module where users can select an agent and a task to evaluate the agent's readiness. This module should use the shared schema from the package to standardize the assessment process.

Step 4: Integrate a reporting feature that generates detailed reports on the readiness assessments. These reports should highlight areas where the agent meets the criteria, areas needing improvement, and recommendations for enhancing readiness.

Step 5: Optionally, add functionality for tracking progress over time, allowing users to reassess agents periodically and compare results against previous assessments to measure improvements or declines in readiness.

The 'agent-readiness-insights-protocol' package will be utilized throughout the project to maintain consistency in data structures and terminology, ensuring that the 'AgentPrep' application can seamlessly integrate with other tools in the ecosystem.

💬 Discussion Feed

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