Trust Assessment
ddg-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 dependency detected.
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 | |
|---|---|---|---|---|
| MEDIUM | Unpinned dependency detected The `ddgs` Python package is used without a specific version constraint. This can lead to unexpected behavior, security vulnerabilities, or breaking changes if a new version introduces issues. It also makes the build non-deterministic. Pin the `ddgs` dependency to a specific version (e.g., `ddgs==X.Y.Z`) in a `requirements.txt` file or directly in the installation instructions. | LLM | SKILL.md:30 |
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