Trust Assessment
agentic-money received a trust score of 91/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 1 medium, and 1 low severity. Key findings include Newly generated private key printed to console, 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 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Newly generated private key printed to console The skill instructs the user to execute a command that generates a new Ethereum private key and immediately prints it to the console. Printing private keys to console is an insecure practice as console output can be logged, visible to others, or persist in shell history, potentially exposing the key. While the skill advises saving it securely, the initial display method is risky. Instruct users to save the private key directly to a file or environment variable without printing it to the console. For example, guide them to use a secure key management system or output directly to a secure file. | LLM | SKILL.md:48 | |
| LOW | Unpinned dependencies in installation instructions The `npm install` command does not specify exact versions for the `@ethcf/agenticmoney` and `ethers` packages. This can lead to non-deterministic builds and introduces a supply chain risk, as future versions of these packages (or their dependencies) could introduce vulnerabilities or breaking changes without explicit user consent. Pin dependency versions to specific, known-good releases (e.g., `npm install @ethcf/agenticmoney@1.0.0 ethers@6.11.1`) to ensure reproducibility and mitigate risks from unexpected updates. | LLM | SKILL.md:40 |
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