Trust Assessment
mayar-payment 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 `mcp-remote` dependency in `mcporter.json`.
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 | |
|---|---|---|---|---|
| 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/ahsanatha/mayar-payment/SKILL.md:1 | |
| MEDIUM | Unpinned `mcp-remote` dependency in `mcporter.json` The `mcporter.json` configuration instructs the use of `npx -y mcp-remote` without specifying a version. This means that the latest version of `mcp-remote` will always be fetched and executed. If a malicious version of `mcp-remote` is published (e.g., via compromise of the package maintainer or typosquatting), it could be automatically executed, leading to a supply chain compromise. Pin the `mcp-remote` dependency to a specific, known-good version (e.g., `npx -y mcp-remote@1.2.3`). Regularly review and update the pinned version to mitigate supply chain risks. | LLM | SKILL.md:26 |
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