Trust Assessment
refua received a trust score of 87/100, 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, 0 high, 2 medium, and 0 low severity. Key findings include Missing required field: name, Unpinned dependencies in installation instructions.
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 | |
|---|---|---|---|---|
| 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/jbenjoseph/refua/SKILL.md:1 | |
| MEDIUM | Unpinned dependencies in installation instructions The `pip install` commands provided for setting up the skill's dependencies (`refua`, `refua-mcp`) do not specify exact versions. This practice can lead to supply chain risks, as future versions of these packages could introduce breaking changes, vulnerabilities, or even malicious code. An operator installing the skill might inadvertently pull in a compromised package, affecting the security of the environment where the skill runs. Pin all dependencies to specific, known-good versions (e.g., `pip install refua[cuda]==X.Y.Z`). Regularly review and update these pinned versions after verifying their integrity and security. | LLM | SKILL.md:37 |
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