Trust Assessment
finance-news 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 dependency `feedparser`.
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
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned Python dependency `feedparser` The skill's documentation instructs users to install `feedparser` without specifying a version (`pip install feedparser`). This can lead to non-deterministic builds, compatibility issues, or introduce vulnerabilities if a future version of the package contains malicious code or breaking changes. It's a common supply chain risk. Pin the `feedparser` dependency to a specific, known-good version (e.g., `pip install feedparser==X.Y.Z`) and consider using a `requirements.txt` file or similar dependency management for all Python dependencies. | LLM | SKILL.md:200 |
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