Trust Assessment
cwicr-crew-optimizer 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, Unvalidated file path in export function.
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 | Unvalidated file path in export function The `export_crew_plan` method directly uses the `output_path` argument to create an Excel file. If an attacker can control this `output_path`, they could specify a path traversal sequence (e.g., `../../../../tmp/malicious.xlsx`) to write files to arbitrary locations on the filesystem. This could lead to overwriting critical system files, or writing to publicly accessible directories for data exfiltration, depending on the agent's underlying filesystem permissions. Sanitize the `output_path` argument to ensure it is restricted to an allowed, sandboxed directory. Implement path validation using functions like `os.path.abspath` and `os.path.commonpath` to confirm the resolved path remains within a designated output directory, or use a temporary file mechanism if the output is not meant for user-controlled persistent storage. | LLM | SKILL.md:308 | |
| 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-crew-optimizer/SKILL.md:1 |
Scan History
Embed Code
[](https://skillshield.io/report/2fda8eabab108a82)
Powered by SkillShield