Trust Assessment
cwicr-productivity-tracker 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_report 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 12, 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_report function The `export_report` function allows writing an Excel file to an arbitrary `output_path` provided as an argument. If this `output_path` can be controlled by untrusted user input, it creates a critical vulnerability. An attacker could specify paths to sensitive system files, leading to overwriting them, or write data to publicly accessible directories, resulting in data exfiltration or denial of service by filling up disk space. Implement strict validation and sanitization for the `output_path` argument to prevent path traversal (e.g., `../`) and restrict file writes to a designated, sandboxed directory. Consider using a file picker interface or predefined, secure output locations instead of allowing arbitrary string input for file paths. | LLM | SKILL.md:250 | |
| 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-productivity-tracker/SKILL.md:1 |
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