Trust Assessment
nano-pdf received a trust score of 97/100, 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 in manifest.
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 | |
|---|---|---|---|---|
| LOW | Unpinned dependency in manifest The `nano-pdf` package is specified without a version constraint in the manifest. This means that the latest version available on PyPI will always be installed. If a malicious update to `nano-pdf` is published, it could be automatically installed, leading to a supply chain compromise. Pin the `nano-pdf` package to a specific, known-good version (e.g., `"package": "nano-pdf==1.2.3"`) to ensure deterministic and secure installations. Regularly review and update pinned versions. | LLM | SKILL.md:3 |
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