Trust Assessment
neural-memory received a trust score of 73/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.
SkillShield's automated analysis identified 1 finding: 1 critical, 0 high, 0 medium, and 0 low severity. Key findings include Unpinned Python Package Dependency.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.
Last analyzed on February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Unpinned Python Package Dependency The skill installs the 'neural-memory' Python package without specifying a version. This allows for the installation of the latest available version, which could be a malicious or compromised package if the maintainer's account or PyPI itself is compromised. This introduces a significant supply chain risk, as an attacker could publish a backdoored version that would be automatically installed. Pin the dependency to a specific, known-good version (e.g., `pip install neural-memory==1.2.3`). Consider using a `requirements.txt` file with package hashes for stronger integrity checks. | LLM | SKILL.md:27 |
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