Trust Assessment
messari-btc-eth-tracker-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 dependencies 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 dependencies in installation instructions The `npm install` command in the setup instructions does not specify exact versions for `@teneo-protocol/sdk` and `dotenv`. This can lead to non-deterministic builds and introduces a supply chain risk, as a malicious or vulnerable update to either package could be automatically pulled in without explicit review. Pin dependency versions using `npm install @teneo-protocol/sdk@X.Y.Z dotenv@A.B.C` or instruct users to use `npm ci` with a committed `package-lock.json` file to ensure deterministic installations. | LLM | SKILL.md:69 |
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