ai-context-injector

v1.0.0 safe
1.0
Low Risk

Lightweight Python library for tag-based context injection with anti-hallucination safeguards. Zero dependencies, 100% type-safe, <25ms performance.

🤖 AI Analysis

Final verdict: SAFE

The package ai-context-injector v1.0.0 poses minimal risk based on the analysis notes provided. It has no detected network calls, shell executions, obfuscation, or credential harvesting patterns.

  • No network calls detected.
  • No shell execution detected.
  • No obfuscation patterns detected.
  • No credential harvesting patterns detected.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution detected, indicating no immediate risk of command injection or privilege escalation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Medium (5.8/10)

✦ 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_edge_cases.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/JDis03/ai-context-injector#readme
  • Detailed PyPI description (17685 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 29 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 19 commits in JDis03/ai-context-injector
  • 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

Email domain looks legitimate: proton.me>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository JDis03/ai-context-injector appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 ai-context-injector 
Create a personalized news aggregator app that uses the 'ai-context-injector' package to provide accurate and relevant content based on user preferences. The app should allow users to input their interests (e.g., technology, sports, politics), and then aggregate news articles from various sources around the web, ensuring that the information presented is reliable and aligned with the user's interests. Utilize the 'ai-context-injector' package to inject context tags into the AI system responsible for article selection and summarization, which will help prevent the AI from generating inaccurate or irrelevant content. Additionally, implement features such as saving favorite articles, sharing articles via social media, and receiving daily summaries of top stories in the user's preferred categories. The app should also include a feature to adjust the level of detail in the summaries provided for each article, allowing users to choose between brief overviews or more comprehensive analyses. Use the 'ai-context-injector' package to ensure that all summaries and recommendations are contextually accurate and safe from hallucinations.