🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity such as network calls, shell execution, or credential harvesting. However, the low number of commits and a single contributor warrant some concern regarding potential misuse.

Low number of commits
Single contributor

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires online resources.
Shell: No shell execution detected, indicating no immediate risk from command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The low number of commits and single contributor suggest potential misuse of the repository.

📦 Package Quality Overall: Medium (5.0/10)

✦ High Test Suite 9.0

Test suite present — 2 test file(s) found

Test runner config found: pyproject.toml
2 test file(s) detected (e.g. test_delivery.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (24673 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 7.0

Partial type annotation coverage

Classifier: Typing :: Typed
67 type-annotated function signatures detected in source

○ Low Multiple Contributors 2.0

Single-author or unverifiable project

1 unique contributor(s) across 2 commits in notwizzard/aiogram-dialog-yaml
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 5.0

Git history flags: Very few commits: 2 total

Very few commits: 2 total
Single contributor with only 2 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 "notwizzard" 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 aiogram-dialog-yaml

Create a fully-functional Telegram bot using the 'aiogram-dialog-yaml' package that acts as a personal fitness coach. The bot should guide users through their daily workout routine based on a predefined schedule. Here’s a step-by-step guide on what the bot should do and how to utilize the 'aiogram-dialog-yaml' package:

1. **Setup and Configuration**: Start by setting up your development environment with Python and installing the necessary packages including 'aiogram-dialog-yaml'. Configure the bot to connect to your Telegram account using the BotFather API token.
2. **User Onboarding**: Design a simple onboarding process where new users can select their fitness goals (e.g., weight loss, muscle gain, general health). Use 'aiogram-dialog-yaml' to create a dialog flow that guides the user through these choices, displaying options via inline keyboard buttons.
3. **Workout Scheduling**: Allow users to input their workout preferences and schedule. Utilize 'aiogram-dialog-yaml' to handle conditional logic, such as asking different questions based on the user's selected goal (e.g., if they choose weight loss, ask about calorie intake).
4. **Daily Workout Reminder**: Implement a feature where the bot sends reminders to users at a specified time each day, prompting them to start their workout. This reminder should include today’s workout plan, fetched from a predefined schedule stored in YAML files.
5. **Workout Tracking**: Enable users to log their workouts during and after completion. Use 'aiogram-dialog-yaml' to create interactive forms for logging exercises performed, sets, reps, and weights. These forms should also allow users to upload photos or videos of their workouts.
6. **Progress Tracking**: Provide users with a way to track their progress over time. Display charts or graphs showing improvements in their performance and overall fitness level based on logged data.
7. **Nutrition Tips**: Send daily nutrition tips related to the user's fitness goal. These tips could be randomly selected from a database or fetched from an external API.
8. **Feedback Loop**: Allow users to provide feedback on the bot's services and suggest improvements. Use 'aiogram-dialog-yaml' to gather this feedback through simple questionnaires.

In each of these steps, make sure to leverage 'aiogram-dialog-yaml' for its ability to render dialogs in YAML format, manage inline builders for custom keyboards and media, and handle complex conditional logic flows efficiently.