Trust Assessment
ad-ready received a trust score of 97/100, 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, 0 medium, and 1 low severity. Key findings include Unpinned or Loosely Pinned Dependencies.
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 12, 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 | |
|---|---|---|---|---|
| LOW | Unpinned or Loosely Pinned Dependencies The skill's `scripts/generate.py` specifies dependencies with minimum versions (`httpx>=0.25.0`, `beautifulsoup4>=4.12.0`) rather than exact versions. While this allows for updates, it introduces a minor supply chain risk as newer, potentially breaking or vulnerable versions could be installed without explicit review. Best practice for production environments is to pin dependencies to exact versions to ensure reproducibility and prevent unexpected behavior or security regressions. Pin dependencies to exact versions (e.g., `httpx==0.25.0`, `beautifulsoup4==4.12.0`) to ensure consistent and secure deployments. Regularly review and update these pins. | LLM | scripts/generate.py:4 |
Scan History
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