Security Audit
influxdb-cloud-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
influxdb-cloud-automation 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, 0 high, 1 medium, and 0 low severity. Key findings include Unpinned Dependency on Rube MCP.
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 27904475). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned Dependency on Rube MCP The skill's manifest specifies a dependency on 'rube' MCP without a version constraint. This means the skill will always use the latest available version of Rube MCP. While convenient, this introduces a supply chain risk as updates to Rube MCP could introduce breaking changes, unexpected behavior, or, in a worst-case scenario, malicious code without explicit review or pinning by the skill developer. It also makes the skill's behavior less deterministic over time. Pin the Rube MCP dependency to a specific version or version range in the manifest (e.g., `"rube": "^1.0.0"` or `"rube": "1.2.3"`) to ensure deterministic behavior and mitigate risks from unreviewed updates. Regularly review and update the pinned version. | LLM | SKILL.md |
Scan History
Embed Code
[](https://skillshield.io/report/fe3065838473f024)
Powered by SkillShield