Trust Assessment
trending-skills-monitor 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 2 findings: 0 critical, 0 high, 1 medium, and 1 low severity. Key findings include Suspicious import: requests, Unpinned Python 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 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Suspicious import: requests Import of 'requests' detected. This module provides network or low-level system access. Verify this import is necessary. Network and system modules in skill code may indicate data exfiltration. | Static | skills/snail3d/clawforgod/trending-skills-monitor-skill/scripts/clawdhub_api.py:14 | |
| LOW | Unpinned Python Dependencies The skill's Python code imports the 'requests' library but does not specify a version constraint. This can lead to supply chain vulnerabilities if a future version of 'requests' (or any other implicit dependency) introduces security flaws or breaking changes. Without pinned dependencies, the skill's behavior and security posture are not guaranteed to be consistent across deployments. Add a `requirements.txt` file to the skill package, specifying exact or range-based versions for all Python dependencies (e.g., `requests==2.28.1`). Ensure `pip install -r requirements.txt` is part of the skill's setup process to guarantee consistent and secure dependency versions. | LLM | scripts/clawdhub_api.py:10 |
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