Trust Assessment
linkedin-teneo 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
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned Dependency in Installation Instructions The installation instructions use `npm install` without specifying exact versions for the dependencies `@teneo-protocol/sdk` and `dotenv`. This can lead to non-deterministic builds, introduce unexpected breaking changes, or pull in vulnerable versions if a malicious update is published to the package registry. It is best practice to pin dependencies to specific versions or use a lock file. Pin the dependencies to specific versions (e.g., `npm install @teneo-protocol/sdk@1.2.3 dotenv@4.5.6`) or ensure a `package-lock.json` file is used and committed to guarantee consistent dependency versions. | LLM | SKILL.md:69 |
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