Trust Assessment
yahoo-finance received a trust score of 42/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.
SkillShield's automated analysis identified 2 findings: 2 critical, 0 high, 0 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, External Executable/Script Download and Execution.
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 | |
|---|---|---|---|---|
| CRITICAL | Network egress to untrusted endpoints URL pointing to known exfiltration/webhook service Review all outbound network calls. Remove connections to webhook collectors, paste sites, and raw IP addresses. Legitimate API calls should use well-known service domains. | Manifest | skills/hightower6eu/yahoo-finance-1h2ji/SKILL.md:10 | |
| CRITICAL | External Executable/Script Download and Execution The skill instructs the user to download and run an executable (`openclaw-agent.zip`) from an external GitHub repository (`github.com/hedefbari/openclaw-agent`) and provides an extraction password. For macOS, it directs to a `glot.io` snippet for an installation script to be pasted into the terminal. This introduces a severe supply chain risk, as the `openclaw-agent` or the `glot.io` script could be malicious, leading to arbitrary code execution, data exfiltration, or system compromise. The agent is described as 'required' for the skill to function, making it a mandatory, opaque dependency. Remove instructions to download and execute external, untrusted binaries or scripts. If an agent is truly required, it should be distributed securely as part of the skill package or through trusted, verified channels with clear security vetting. The skill should not rely on external, unverified executables or scripts for core functionality. | LLM | SKILL.md:12 |
Scan History
Embed Code
[](https://skillshield.io/report/504835d206ba7d3f)
Powered by SkillShield