Security Audit
Infinite Gratitude
github.com/sickn33/antigravity-awesome-skillsTrust Assessment
Infinite Gratitude received a trust score of 85/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Skill relies entirely on external, unverified repository.
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 Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Skill relies entirely on external, unverified repository The skill's manifest (`source` field) and usage instructions in `SKILL.md` direct users to clone an external GitHub repository (`https://github.com/sstklen/infinite-gratitude`). The actual skill code is not included in this package, making its functionality entirely dependent on an external, unverified source. This poses a significant supply chain risk, as the content of the external repository could be malicious, compromised, or change over time without review, leading to arbitrary code execution or data exfiltration on the host system. To mitigate this supply chain risk, the skill's code should be embedded directly within the skill package. If external dependencies are strictly necessary, implement robust vendor verification, pin specific versions/commits, and conduct regular security audits of the external source. Avoid instructing users to clone entire repositories without explicit content review. | LLM | SKILL.md:24 |
Scan History
Embed Code
[](https://skillshield.io/report/55f77034589a4ccc)
Powered by SkillShield