Trust Assessment
us-stock-analyst received a trust score of 79/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 3 findings: 0 critical, 0 high, 3 medium, and 0 low severity. Key findings include Unsafe deserialization / dynamic eval, Unpinned Python dependency version.
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 Findings3
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unsafe deserialization / dynamic eval Decryption followed by code execution Remove obfuscated code execution patterns. Legitimate code does not need base64-encoded payloads executed via eval, encrypted-then-executed blobs, or dynamic attribute resolution to call system functions. | Manifest | skills/0xjordansg-yolo/openclaw-aisa-us-stock-analyst/US Stock Analyst 0210v1/stock_analyst.py:6 | |
| MEDIUM | Unpinned Python dependency version Requirement 'httpx>=0.24.0' is not pinned to an exact version. Pin Python dependencies with '==<exact version>'. | Dependencies | skills/0xjordansg-yolo/openclaw-aisa-us-stock-analyst/US Stock Analyst 0210v1/requirements.txt:1 | |
| MEDIUM | Unpinned Python dependency version Requirement 'asyncio' is not pinned to an exact version. Pin Python dependencies with '==<exact version>'. | Dependencies | skills/0xjordansg-yolo/openclaw-aisa-us-stock-analyst/US Stock Analyst 0210v1/requirements.txt:2 |
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