Trust Assessment
openclaw-feeds received a trust score of 91/100, 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: urllib.request, Unpinned Dependency.
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
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Suspicious import: urllib.request Import of 'urllib.request' 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/nesdeq/openclaw-feeds/scripts/feeds.py:21 | |
| LOW | Unpinned Dependency The skill's Python script `scripts/feeds.py` imports `feedparser` without specifying a version. This can lead to supply chain risks if a future version of `feedparser` introduces vulnerabilities or breaking changes. While the skill handles `ImportError`, it does not prevent the installation of a potentially malicious or incompatible version. Pin the `feedparser` dependency to a specific version (e.g., `feedparser==x.y.z`) in a `requirements.txt` file or similar dependency management system. This ensures deterministic builds and reduces the risk of unexpected changes or vulnerabilities from upstream packages. | LLM | scripts/feeds.py:20 |
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