Trust Assessment
litellm received a trust score of 98/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 0 medium, and 1 low severity. Key findings include Unpinned 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 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| LOW | Unpinned Dependency The skill's installation instructions recommend `pip install litellm` without specifying a version. This can lead to supply chain risks where future installations might pull in a new version of the library that could introduce breaking changes, vulnerabilities, or even malicious code if the package maintainer's account is compromised. It's best practice to pin dependencies to specific versions or at least major versions. Pin the `litellm` dependency to a specific version (e.g., `pip install litellm==X.Y.Z`) or a major version (e.g., `pip install 'litellm>=X.Y,<X.Z'`) to ensure consistent and secure installations. | LLM | SKILL.md:77 |
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