Trust Assessment
cwicr-location-factor 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 export_factors.
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 export_factors The `export_factors` method allows writing an Excel file containing location factors to an arbitrary path specified by the `output_path` parameter. If this parameter is controlled by untrusted user input, an attacker could overwrite critical system files, configuration files, or other important data. This could lead to denial of service, data corruption, or potentially command injection if specific executable or script files are targeted, granting excessive filesystem write permissions. Restrict the `output_path` to a predefined, safe directory (e.g., a temporary directory or a user-specific data directory). Do not allow arbitrary paths from untrusted user input. Implement strict validation and sanitization for the `output_path` parameter to ensure it points only to allowed locations. | LLM | SKILL.md:248 | |
| 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/cwicr-location-factor/SKILL.md:1 |
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