🤖 AI Analysis

Final verdict: SAFE

The package is considered safe despite some obfuscation techniques and low maintainer activity, as there are no clear signs of malicious intent or credential risks.

Moderate obfuscation risk
Low maintainer activity
No credential harvesting detected

Per-check LLM notes

Obfuscation: The use of base64 decoding suggests some level of obfuscation, but without more context it's unclear if this is malicious or simply for data handling purposes.
Credentials: No patterns indicative of credential harvesting were detected.
Metadata: The package shows low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

self._client = client or httpx.AsyncClient(timeout=ANTHROPIC_CLIENT_TIMEOUT_SECONDS) @property
httpx.AsyncClient: return httpx.AsyncClient() async def identify_httpx_client( client: Annotated[h

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

em.result: data = base64.b64decode(item.result) return LLMGeneratedMedia(type="image",
eneratedMedia: data = base64.b64decode(payload) return LLMGeneratedMedia(type="image", mime

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

def run_build() -> None: subprocess.run(["uv", "build"], cwd=PROJECT_ROOT, check=True) print("uv
def run_tests() -> None: subprocess.run([ "uv", "run", "--group", "d
h | None = None) -> None: subprocess.run( command, cwd=cwd, check=True,

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aceai

Create a fully-functional mini-application that leverages the 'aceai' package to manage and interact with multiple AI agents. This application will serve as a personal assistant dashboard where users can customize and control various AI agents for different tasks such as scheduling meetings, sending emails, weather updates, and more. Here’s a detailed breakdown of the application’s requirements and features:

1. **User Interface**: Develop a clean, user-friendly interface using a web framework like Flask or Django. The UI should allow users to easily navigate through different sections and configure their AI agents.
2. **AI Agent Management**: Utilize 'aceai' to create, manage, and configure AI agents. Each agent should have customizable settings including task types, API keys, and operational parameters.
3. **Task Scheduling**: Implement a feature where users can schedule tasks for their AI agents. For example, setting up an agent to send a reminder email at a specific time.
4. **Task Execution**: When scheduled, ensure that the corresponding AI agent executes the task as configured. For instance, if an agent is set up to send emails, it should be able to compose and send emails based on user inputs.
5. **Real-time Updates**: Integrate real-time capabilities so that users can receive instant updates from their AI agents. For example, receiving immediate weather alerts when conditions change.
6. **Customizable Agents**: Allow users to define custom tasks and functionalities for their AI agents using the 'aceai' framework. Users should be able to train their agents to perform unique tasks tailored to their needs.
7. **Security and Privacy**: Ensure all interactions and data exchanges between the application and the AI agents are secure and comply with privacy standards.
8. **Documentation and Support**: Provide comprehensive documentation for both users and developers, detailing how to use the application and integrate new AI agents.

Your task is to outline the architecture of this application, specify how 'aceai' will be utilized in each component, and provide a roadmap for developing this mini-application. Additionally, suggest any additional libraries or tools that could enhance the functionality and usability of the application.