Trust Assessment
amazon-teneo received a trust score of 98/100, 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 Versions.
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 | |
|---|---|---|---|---|
| LOW | Unpinned Dependency Versions The `npm install` command specifies dependencies without pinning them to a specific version (e.g., `npm install @teneo-protocol/sdk dotenv`). This can lead to supply chain risks, as future updates to these packages could introduce breaking changes, vulnerabilities, or even malicious code without explicit review. It's best practice to pin dependencies to exact versions or use version ranges that are carefully managed. Pin dependency versions in `npm install` commands or `package.json` to specific versions (e.g., `@teneo-protocol/sdk@1.2.3`) or use strict version ranges to prevent unexpected updates. Regularly review and update dependencies. | LLM | SKILL.md:78 |
Scan History
Embed Code
[](https://skillshield.io/report/8897181783d1487d)
Powered by SkillShield