Trust Assessment
newsapi-search received a trust score of 90/100, 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, 1 high, 0 medium, and 0 low severity. Key findings include Potential Command Injection via user-supplied arguments to Node.js scripts.
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 Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Potential Command Injection via user-supplied arguments to Node.js scripts The skill's `SKILL.md` demonstrates invoking Node.js scripts (`scripts/search.js`, `scripts/sources.js`) with user-supplied arguments (e.g., search queries, source lists, domains, dates). If these arguments are not properly sanitized or escaped before being used in internal shell commands (e.g., `child_process.exec`, `spawn` with `shell: true`) within the Node.js scripts, an attacker could inject arbitrary shell commands. For example, a malicious query like `"; rm -rf /;"` could lead to arbitrary code execution on the host system. Implement robust input validation and sanitization for all user-supplied arguments within `scripts/search.js` and `scripts/sources.js`. When executing external commands, prefer `child_process.spawn` with an array of arguments over `child_process.exec` to avoid shell interpretation, or ensure all arguments are properly escaped if `exec` is necessary. | LLM | SKILL.md:15 |
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