Trust Assessment
blacksnow received a trust score of 51/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.
SkillShield's automated analysis identified 5 findings: 0 critical, 2 high, 3 medium, and 0 low severity. Key findings include Suspicious import: urllib.request, Insecure SSL/TLS Configuration (MITM Vulnerability).
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 Findings5
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Insecure SSL/TLS Configuration (MITM Vulnerability) The skill's data harvesting components disable SSL certificate verification, making network connections vulnerable to Man-in-the-Middle (MITM) attacks. An attacker could intercept, read, or modify data exchanged with external APIs (e.g., Federal Register, SEC EDGAR) without detection. This compromises data integrity and confidentiality, potentially leading to the injection of malicious or misleading signals into the BlackSnow pipeline. Remove or set `ctx.check_hostname = True` and `ctx.verify_mode = ssl.CERT_REQUIRED` to enable proper SSL certificate validation. Ensure that the system's certificate authority (CA) bundle is up-to-date. If specific certificates are required, load them explicitly. | LLM | scripts/harvester.py:60 | |
| HIGH | Insecure SSL/TLS Configuration (MITM Vulnerability) The skill's extended data harvesting components disable SSL certificate verification, making network connections vulnerable to Man-in-the-Middle (MITM) attacks. An attacker could intercept, read, or modify data exchanged with external APIs (e.g., Federal Register, SEC EDGAR) without detection. This compromises data integrity and confidentiality, potentially leading to the injection of malicious or misleading signals into the BlackSnow pipeline. Remove or set `ctx.check_hostname = True` and `ctx.verify_mode = ssl.CERT_REQUIRED` to enable proper SSL certificate validation. Ensure that the system's certificate authority (CA) bundle is up-to-date. If specific certificates are required, load them explicitly. | LLM | scripts/harvester_extended.py:29 | |
| 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/sieershafilone/blacksnow/scripts/harvester.py:13 | |
| 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/sieershafilone/blacksnow/scripts/harvester_extended.py:8 | |
| 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/sieershafilone/blacksnow/scripts/webhook.py:8 |
Scan History
Embed Code
[](https://skillshield.io/report/ac6d9f69b7f763ab)
Powered by SkillShield