Trust Assessment
moltpay received a trust score of 94/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Unpinned Python dependencies recommended.
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
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned Python dependencies recommended The skill recommends installing Python packages (`eth-account`, `bitcoinlib`, `solders`, `qrcode[pil]`) without specifying exact version pins. This practice can expose the agent to supply chain risks, such as installing a malicious or vulnerable version if a package maintainer's account is compromised, or if a typosquatting package is created. This applies to 'pip install eth-account' (line 100), 'pip install bitcoinlib' (line 116), 'pip install solders' (line 132), and 'pip install qrcode[pil]' (line 170). Recommend specifying exact versions for all Python dependencies (e.g., `pip install eth-account==0.5.0`) or at least major/minor version ranges (e.g., `pip install eth-account~=0.5.0`) to prevent unexpected or malicious updates. | LLM | SKILL.md:100 |
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