Trust Assessment
meihua-yishu received a trust score of 86/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Potential Command Injection via unsanitized user input in shell command.
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 | |
|---|---|---|---|---|
| HIGH | Potential Command Injection via unsanitized user input in shell command The skill's usage instructions in `SKILL.md` describe executing a `node` script with user-provided date/time arguments. If the host LLM directly substitutes user input into the shell command without proper sanitization or validation, an attacker could inject arbitrary shell commands. For example, input like `2023-01-01 10:00; rm -rf /` could lead to malicious execution. The host LLM should strictly validate and sanitize or escape any user-provided arguments before constructing and executing shell commands. Alternatively, the skill could be refactored to accept date/time components as separate, validated parameters, or use a more secure execution environment that doesn't involve direct shell command construction from user input. | LLM | SKILL.md:19 |
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