Trust Assessment
web-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 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 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 | Unpinned dependency in installation instructions The skill's prerequisite instructions recommend installing `duckduckgo-search` without specifying a version. This can lead to supply chain vulnerabilities if a future version of the package introduces malicious code or critical bugs, as the skill would automatically update to it. It is best practice to pin dependencies to specific versions to ensure reproducibility and security. Pin the dependency to a specific, known-good version (e.g., `pip install duckduckgo-search==X.Y.Z`) or use a `requirements.txt` file with pinned versions to mitigate risks from unexpected or malicious updates. | LLM | SKILL.md:40 |
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