Trust Assessment
tesla received a trust score of 94/100, 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, 1 medium, and 0 low severity. Key findings include Loosely pinned dependency `teslapy`.
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 | |
|---|---|---|---|---|
| MEDIUM | Loosely pinned dependency `teslapy` The `teslapy` dependency is specified with a minimum version (`>=2.0.0`) rather than an exact version or a more restrictive pin (e.g., `~=2.0.0` for minor version updates only). This allows for automatic updates to potentially major new versions of `teslapy` which could introduce breaking changes, vulnerabilities, or even malicious code without explicit review by the skill developer or user. Given that `teslapy` is an unofficial API client and this skill controls physical vehicles, this poses a notable supply chain risk. Pin the `teslapy` dependency to an exact version (e.g., `teslapy==2.0.0`) or a more restrictive range (e.g., `teslapy~=2.0.0`) after verifying its integrity. Regularly review and update dependencies. | LLM | scripts/tesla.py:4 |
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