Trust Assessment
airbnb-search 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 skill dependency in installation instructions.
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
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned skill dependency in installation instructions The skill's installation instructions recommend installing the `airbnb-search` tool without specifying a version (`uv tool install airbnb-search`). This practice introduces a supply chain risk, as a malicious update to the `airbnb-search` package on PyPI could lead to users installing and executing compromised code. It relies on the continuous integrity of the package maintainer and the PyPI repository. Recommend pinning the version of `airbnb-search` in the installation instructions (e.g., `uv tool install airbnb-search==X.Y.Z`) to ensure users install a known, verified version. Alternatively, advise users to verify the package source and version before installation. | LLM | SKILL.md:16 |
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