Trust Assessment
ovh 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 Unpinned Python dependency `ovh`.
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 12, 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 | Unpinned Python dependency `ovh` The `scripts/ovh-cli.py` script imports the `ovh` library but does not specify a version. This allows `pip` to install the latest available version, which could introduce breaking changes, vulnerabilities, or even malicious code if the package maintainer or repository is compromised. Without a pinned version, the skill's behavior and security posture are not deterministic. Pin the `ovh` dependency to a specific, known-good version (e.g., `ovh==X.Y.Z`) in a `requirements.txt` file. Update the installation instructions to use `pip install -r requirements.txt`. | LLM | scripts/ovh-cli.py:7 |
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