Trust Assessment
digital-maturity-assessment received a trust score of 79/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Missing required field: name, Arbitrary File Write via output_path.
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 Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Arbitrary File Write via output_path The `export_to_excel` method directly uses the `output_path` argument to write an Excel file. If an attacker can control this path, they could write files to arbitrary locations on the file system, potentially overwriting critical system files, user data, or uploading malicious content to a web server's document root. This constitutes an arbitrary file write vulnerability. Restrict the `output_path` to a safe, sandboxed directory. Implement strict validation to prevent directory traversal (e.g., `../`) and ensure files are only written to allowed locations. Consider returning the Excel data as a byte stream instead of writing directly to the file system if the platform allows. | LLM | SKILL.md:406 | |
| MEDIUM | Missing required field: name The 'name' field is required for claude_code skills but is missing from frontmatter. Add a 'name' field to the SKILL.md frontmatter. | Static | skills/datadrivenconstruction/digital-maturity-assessment/SKILL.md:1 |
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