Trust Assessment
mayar-payment-skill 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 'npx' dependency in 'mcporter' configuration.
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 14, 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/SKILL.md:1 | |
| MEDIUM | Unpinned 'npx' dependency in 'mcporter' configuration The skill instructs the user to configure 'mcporter' to use 'npx mcp-remote' without specifying a version. This means that the latest version of 'mcp-remote' will always be downloaded and executed. If a malicious update to 'mcp-remote' is published, it could lead to arbitrary code execution or other supply chain attacks, as 'npx' will fetch and run the potentially compromised package. Pin the 'mcp-remote' package to a specific, known-good version (e.g., 'npx mcp-remote@1.2.3'). Regularly review and update the pinned version to benefit from security patches while mitigating risks from unexpected or malicious updates. Alternatively, install 'mcp-remote' globally or locally with a pinned version using 'npm install' or 'yarn add' and then reference the installed executable. | LLM | SKILL.md:31 |
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