AI Analysis
The package is suspicious due to high credential risk and incomplete metadata, suggesting potential unreliability or malicious intent.
- High credential risk through potential access to system files.
- Incomplete author details and non-HTTPS link.
Per-check LLM notes
- Network: No network calls were detected, indicating no direct communication outside the system.
- Shell: The shell execution patterns detected are primarily related to Git operations which may be part of version control but could indicate unusual behavior if not expected in a standard library.
- Obfuscation: No obfuscation patterns detected.
- Credentials: Potential credential harvesting through access to system files like '/etc/passwd'.
- Metadata: The package has a non-HTTPS link and the author details are incomplete, indicating potential unreliability.
Package Quality Overall: Low (4.6/10)
Test suite present — 3 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml3 test file(s) detected (e.g. conftest.py)
Some documentation present
Detailed PyPI description (6292 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
55 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 5 commits in yev-arbling/arbling-brain-mcpSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 6 shell execution pattern(s)
wn" try: result = subprocess.run( ["git", "log", "-1", "--format=%H%x1f%ci%x1f%s"""" try: result = subprocess.run( [ "rg", "--jsonunknown" try: r = subprocess.run( ["git", "rev-parse", "HEAD"], cwd=bss try: result = subprocess.run( ["git", "pull", "--ff-only"], cwd=bold_sha try: r2 = subprocess.run( ["git", "rev-parse", "HEAD"], cwd=btry: diff = subprocess.run( ["git", "diff", "--name-only", old_sha, new
Found 4 credential access pattern(s)
: _safe_resolve("../../etc/passwd", fake_brain) def test_safe_resolve_absolute(fake_brain:ute"): _safe_resolve("/etc/passwd", fake_brain) # -----------------------------------------read_brain_page("../../../etc/passwd", fake_brain) # -----------------------------------------srv.read_brain_page("../../../etc/passwd") def test_server_search_brain_tool(fake_brain: Path):
No typosquatting candidates detected
No author email provided
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.apple.com/DTDs/PropertyList-1.0.dtd
Repository yev-arbling/arbling-brain-mcp appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based utility named 'BrainBrowser' that leverages the 'arbling-brain-reader' package to provide a user-friendly interface for exploring and querying a read-only vault of Arbling-schema markdown files. This utility should allow users to: 1. Connect to a specified MCP server hosting an Arbling-markdown vault. 2. Browse through different categories or tags within the vault. 3. Search for specific keywords or phrases across all documents. 4. Retrieve and display individual documents in a readable format. 5. Optionally, highlight certain sections of the document based on user-defined criteria. 6. Save a copy of any retrieved document locally. The 'arbling-brain-reader' package will be utilized to establish a connection to the MCP server, retrieve document data, and perform searches within the vault. Your task is to outline the steps required to develop 'BrainBrowser', including setting up the necessary environment, integrating 'arbling-brain-reader', and implementing each feature mentioned above.
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