Security Audit
security-review
github.com/sickn33/antigravity-awesome-skillsTrust Assessment
security-review received a trust score of 63/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.
SkillShield's automated analysis identified 2 findings: 1 critical, 0 high, 1 medium, and 0 low severity. Key findings include File read + network send exfiltration, Sensitive path access: Environment file.
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 20, 2026 (commit e36d6fd3). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | File read + network send exfiltration .env file access Remove access to sensitive files not required by the skill's stated purpose. SSH keys, cloud credentials, and browser data should never be read by skills unless explicitly part of their declared functionality. | Manifest | skills/cc-skill-security-review/SKILL.md:40 | |
| MEDIUM | Sensitive path access: Environment file Access to Environment file path detected: '.env.local'. This may indicate credential theft. Verify that access to this sensitive path is justified and declared. | Static | skills/cc-skill-security-review/SKILL.md:40 |
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