Trust Assessment
nostr-plantr 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 User Input.
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 User Input The skill's usage example demonstrates executing a shell command using `script -c "..."` where a placeholder `<relay>` is expected to be replaced by user input. If this input is not properly sanitized or escaped before being inserted into the command string, an attacker could inject arbitrary shell commands, leading to remote code execution. Ensure all user-provided input (e.g., `<relay>`) is strictly validated and properly escaped before being used in shell commands. Prefer using safe command execution methods that pass arguments as a list rather than a single string, or use a dedicated library function that handles argument sanitization. | LLM | SKILL.md:17 |
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