agentcapsule

v0.1.4 safe
4.0
Medium Risk

Agent Capsule Protocol for inspectable text-native artifact transfer

🤖 AI Analysis

Final verdict: SAFE

The package appears generally safe with low risks in most categories. While there are some signs of obfuscation and questionable metadata, these do not strongly indicate malicious intent.

  • moderate obfuscation risk
  • questionable metadata
Per-check LLM notes
  • Network: The presence of network calls suggests the package interacts with external services, which is common but should be scrutinized for legitimacy and security practices.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The repeated use of base64 decoding with exception handling suggests potential obfuscation to hide code logic, but it could also be used for legitimate purposes such as decoding encrypted data.
  • Credentials: No clear patterns indicating credential harvesting were detected.
  • Metadata: The package shows some red flags such as an author with a missing or short name and a new or inactive maintainer account, but there's no evidence of typosquatting or suspicious links.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • edirects, ) with httpx.Client( follow_redirects=follow_redirects, timeout=
  • urrent_size}-"} with httpx.Client(follow_redirects=follow_redirects, timeout=timeout_seconds,
⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • try: return base64.b64decode(compact.encode("ascii"), validate=True) except (bina
  • encryption_key = base64.b64decode(raw_key, validate=True) except Exception:
  • try: encryption_key = base64.b64decode(raw_key, validate=True) except Exception: encryp
  • encryption_key = base64.b64decode(raw_key, validate=True) except Exception:
  • g") try: nonce = base64.b64decode(nonce_b64.encode("ascii"), validate=True) tag = base
  • validate=True) tag = base64.b64decode(tag_b64.encode("ascii"), validate=True) except Exception
✓ 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 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 agentcapsule 
Create a Python-based mini-application called 'ArtifactTransferTool' that leverages the 'agentcapsule' package to facilitate the inspection and transfer of text-native artifacts between different environments or users. This tool should allow users to securely send messages or files while ensuring that the content remains inspectable throughout the transfer process.

Step 1: Set up the basic structure of the application, including necessary imports from the 'agentcapsule' package and other required libraries such as 'requests' for HTTP operations.

Step 2: Implement a function named 'create_artifact' that takes input data (text or file) and wraps it into an 'AgentCapsule'. Ensure that the capsule includes metadata about the artifact, such as sender information and timestamp.

Step 3: Develop a 'transfer_artifact' function that sends the created 'AgentCapsule' to a specified destination using the HTTP POST method. The function should handle errors gracefully and provide feedback on the success or failure of the transfer.

Step 4: Integrate a 'inspect_artifact' feature that allows the recipient to verify the integrity and authenticity of the received 'AgentCapsule' before accessing its contents. This should include mechanisms to check for tampering or unauthorized modifications.

Step 5: Add support for multiple transfer methods (e.g., direct HTTP requests, email attachments) by extending the 'transfer_artifact' functionality to accommodate these different channels.

Suggested Features:
- User authentication to ensure only authorized users can send and receive artifacts.
- Support for encryption to protect the confidentiality of the transferred data.
- Logging capabilities to track all transfer activities for auditing purposes.
- A user-friendly command-line interface for easy interaction.

How 'agentcapsule' is Utilized:
- The 'agentcapsule' package is primarily used to encapsulate the artifacts (data) in a way that they can be inspected and transferred securely. It provides the core functionality for creating, inspecting, and managing these capsules, which are central to the ArtifactTransferTool's operation.