Trust Assessment
homeassistant-n8n-agent 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 `curl` data payload.
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 12, 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 `curl` data payload The skill's documentation indicates that user-controlled input ('USERS QUESTION/REQUEST') will be embedded into the `chatInput` field of a JSON payload, which is then passed to a `curl` command using the `-d` flag. The `curl -d` argument is enclosed in single quotes. If the user input contains a single quote, it can prematurely terminate the JSON string, allowing an attacker to inject arbitrary shell commands that will be executed by the underlying system. For example, an input like `foo' && rm -rf / #` could lead to command execution. All user-controlled input (e.g., `chatInput`, `requestType`) must be rigorously sanitized and escaped before being embedded into shell commands. Specifically, ensure that single quotes, double quotes, backticks, dollar signs, semicolons, and other shell metacharacters are properly escaped or neutralized. A safer approach would be to construct the JSON payload programmatically and pass it to `curl` via a temporary file or standard input, or use a dedicated HTTP client library that handles proper escaping. | LLM | SKILL.md:10 |
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