Trust Assessment
homeassistant-assist 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 in Curl 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 13, 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 in Curl Command The skill's documentation demonstrates constructing a `curl` command where user input (`USER REQUEST HERE`) is directly embedded into the `-d` argument. If the skill executes this command via a shell (e.g., `subprocess.run(..., shell=True)` in Python), a malicious user could craft input to break out of the JSON string and execute arbitrary shell commands. For example, input like `foo'$(id)'bar` could lead to command execution. Avoid constructing shell commands with direct user input. Instead, use a dedicated HTTP client library (e.g., Python's `requests` library) to make API calls, which handles proper escaping and prevents shell injection. If `curl` must be used, ensure all user-controlled arguments are meticulously escaped for the shell, or pass arguments as a list to `subprocess.run` with `shell=False`. | LLM | SKILL.md:20 |
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