Security Audit

payram-crypto-payments

github.com/openclaw/skills

AI SkillCommit 13146e6a3d46

TRUSTED

Scanned 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

payram-crypto-payments received a trust score of 86/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Supply Chain Risk: External Repository Clone and Execution.

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

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

85%

Behavioral Risk Signals

Network Access

1 finding

Shell Execution

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Supply Chain Risk: External Repository Clone and Execution The skill instructs the user (or potentially an AI agent in a 'claude_code' ecosystem) to clone an external GitHub repository (`https://github.com/PayRam/payram-helper-mcp-server`) and subsequently execute `yarn install` and `yarn dev`. This introduces a significant supply chain risk. If the external repository were compromised, or if any of its dependencies contained malicious code, executing these commands could lead to arbitrary code execution, data exfiltration, or system compromise on the host environment. The skill itself does not provide the content of this external repository, making its integrity and security an unverified external dependency. For AI agents: Implement strict sandboxing and require explicit user confirmation before executing external `git clone` or package installation commands. Consider integrating a mechanism to verify the integrity (e.g., checksums, digital signatures) of external repositories before cloning and executing their contents. For users: Advise extreme caution when cloning and executing code from unverified external sources. Recommend a thorough security review of the repository's code and its dependency tree before execution.	LLM	SKILL.md:40

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/a1e39fe196985a35.svg)](https://skillshield.io/report/a1e39fe196985a35)