Trust Assessment
brand-analyzer received a trust score of 94/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Arbitrary file write via --output argument.
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 | |
|---|---|---|---|---|
| MEDIUM | Arbitrary file write via --output argument The `scripts/analyze.py` script accepts an `--output` command-line argument that allows users to specify an arbitrary file path for saving the generated brand profile. If the skill is executed with elevated privileges or in an environment where file system write access should be restricted, a malicious actor could use this to overwrite sensitive system files or user data by providing a path like `/etc/passwd` or `~/.ssh/authorized_keys`. Restrict output paths to a designated safe directory (e.g., a temporary directory or a subdirectory within the skill's workspace). Implement path sanitization to prevent directory traversal attacks (e.g., `../`). If arbitrary paths are strictly necessary, ensure the skill runs with minimal file system write permissions. | LLM | scripts/analyze.py:48 |
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